Дисертації з теми "Neural forms"
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Bonham, James Robert. "A study of molecular forms of the cholinesterases with particular reference to Hirschsprung's disease and neural tube defects." Thesis, University of Newcastle Upon Tyne, 1986. http://hdl.handle.net/10443/545.
Повний текст джерелаHussaini, Syed Abid [Verfasser]. "Complex forms of learning in honeybees: a behavioral and neural analysis & Sleep in honeybees: its role in learning and memory / Syed Abid Hussaini." Berlin : Freie Universität Berlin, 2008. http://d-nb.info/1022940260/34.
Повний текст джерелаDaniel-Weiner, Reka Verfasser], and Stefan [Akademischer Betreuer] [Pollmann. "The influence of different forms of outcome information on the neural substrates of the acquisition and representation of categories / Reka Daniel-Weiner. Betreuer: Stefan Pollmann." Magdeburg : Universitätsbibliothek, 2012. http://d-nb.info/1053914008/34.
Повний текст джерелаChaibva, Faith Anesu. "The use of response surface methodology and artificial neural networks for the establishment of a design space for a sustained release salbutamol sulphate formulation." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1010432.
Повний текст джерелаErpen, Luis Renato Cruz. "Reconhecimento de padrões em imagens por descritores de forma." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2004. http://hdl.handle.net/10183/27662.
Повний текст джерелаThe idea of enabling a machine to recognize the environment with which it interacts has motivated researchers to dedicate efforts in studying the most complex of the human senses: vision. Vision is essentially a task of information representation and processing, what makes it suitable for computational treatment. Given that currently there are no methods that perform equivalently to humans, the use of features has been intensively studied in order to improve the performance of the existing methods. Among these features, the shape of an object provides a powerful sign of its identity and functionality, what enables the exploitation of this feature with the purpose of recognition. This evidence distinguishes shape from other visual features, such as color, motion or texture, which, although equally important, normally do not reveal the identity of an object. As a result, the possibility of evaluating the robustness and stability of alternate techniques for shape representation is essential in order to measure the performance of each technique in the presence of uncertainty. In this work, some shape descriptors available in the literature were implemented and used in case studies aiming at evaluating their effectiveness. These case studies were carried out using characters, although, with very different purposes. The first case study is geared towards applications such as mobile robotics, where the robot recognizes commands available in the environment. The main case study is focused on applications of license plate recognition, which could be used both in situations of surveillance and traffic control and in situations of infraction. Many applications, including those that involve the search and indexing of visual objects, are suited for the use of shape features. Another important characteristic of this work is that it emphasizes that the selection of a good shape description reduces the effort during the classification step, which is computationally elevated.
Osher, David Eugene. "Function follows form : how connectivity patterns govern neural responses." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81731.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references.
Connectivity restricts and defines the information that a network can process. It is the substance of information processing that underlies the patterns of functional activity in the brain. By combining diffusion-weighted imaging or DWI, with fMRI, we are able to non-invasively measure connectivity and neural responses in the same individuals and directly relate these two measures to one another. In Chapter 2, I first establish the proof-of-principle that anatomical connectivity alone can predict neural responses in cortex, specifically of face-selectivity in the fusiform gyrus. I then extend this novel approach to the rest of the brain and test whether connectivity can accurately predict neural responses to various visual categories in Chapter 3. Finally, in Chapter 4, I compare and contrast the resulting models, which are essentially networks of connectivity that are functionally-relevant to each visual category, and demonstrate the type of knowledge that can be uncovered by directly integrating structure and function.
by David Eugene Osher.
Ph.D.in Neuroscience
Staves, Daniel Robert. "Associative CAD References in the Neutral Parametric Canonical Form." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6222.
Повний текст джерелаTomaselli, Pedro José. "Hanseníase forma neural pura: aspectos clínicos e eletroneuromiográficos dos pacientes avaliados no serviço de doenças neuromusculares do HCRP da USP no período de março de 2001 a março de 2013." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/17/17140/tde-13072014-130102/.
Повний текст джерелаBackgrounds: Leprosy is the main infectious cause of peripheral neuropathy and disabilities in the world. Its diagnosis is straightforward when the classical skin lesions are present. However, some patients present only neural involvement (pure neural form-PNL) turning its diagnosis on a great challenge. Additionally, even when this possibility is suspected, confirmation may be extremely difficult and many patients are only correctly diagnosed late on the clinical course of the disease when a severe and irreversible neuropathy is already established. Objectives: To review the characteristics of a series of PNL patients followed in our institution in the last 12 years and recognize the clinical manifestations. Methods: Inclusion criteria: Clinical evidence of peripheral nerve impairment with no skin lesions. PNL diagnose were classified as definitive when the Mycobacterium leprae was identified under nerve biopsy, and probable when a suggestive clinical picture was associated to at least one of the following: positive anti PGL1, suggestive pattern biopsy represented by the presence of epithelioid granulomatous neuritis, mononuclear cell endoneuritis and fibrose and/or an EMG pattern showing a predominantly sensory mononeuritis multiplex pattern. Exclusion criteria: Two patients were excluded because of associated diabetes mellitus, one because had CMT1A and another had HNPP. To evaluate the importance of disease duration in clinical presentation, we considered two groups according to the time course, first that disease duration of 12 or fewer months (group 1) and those with disease duration over 12 months (group 2). Results: We reviewed 34 patients with PNL, including 7 with a definite and 24 with probable diagnosis. The most common onset symptoms were sensory (91.2 %), in 70.6 % of cases symptoms started in the upper limbs, the ulnar nerve being the most frequent site. Intradermal pattern was observed only in group 1. Vibration was altered more frequent in group 2 (p=0.07), the presence of motor abnormalities (p = 0.03) and deep tendon reflexes reduced or absent in 1 or more nerves (p = 0.03) were more frequently observed in group 2. Sensory nerves most frequently involved were the ulnar and superficial peroneal. The motor nerve most often affected was the ulnar. The most frequent EMG pattern was an asymmetrical sensory and motor neuropathy with focal slowing of conduction velocity. Conclusions: PNL is an asymmetrical sensory or sensory motor neuropathy. Upper limbs are most frequent affected with frequent ulnar nerve territory involvement. Small fibers seem to be affected at early stages. Larger fibers are affected with disease progression. It is unclear whether the PNL represents a stage prior to the appearance of typical skin lesions or whether it represents a different and more aggressive leprosy type. Phenotype characterization from early signs and symptoms its a powerful tool to PNL early diagnosis.
Marangoni, André Luis 1976. "Pão de forma "zero trans" : estudo do efeito de diferentes óleos e gorduras na qualidade tecnológica dos pães." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256010.
Повний текст джерелаTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia de Alimentos
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Resumo: A interesterificação é uma ferramenta fundamental para o desenvolvimento de gorduras "zero trans"; entretanto, comparada ao processo de hidrogenação, esta apresenta limitações, sobretudo no desenvolvimento de gorduras para uso em panificação. De acordo com a literatura, na produção de pão de forma, a gordura exerce diversas funções, como a lubrificação e o aumento da extensibilidade da massa, e o aumento do volume e do sabor do pão. A gordura afeta a textura, mantendo os pães macios por mais tempo; isto se deve possivelmente à sua interação com o amido da farinha, retardando o processo de retrogradação e, assim, estendendo a vida de prateleira do pão. O objetivo deste trabalho foi aplicar a tecnologia de Redes Neurais Artificiais (RNA) na formulação de gorduras "zero trans" à base de óleo de soja e gorduras interesterificadas de soja para facilitar o processo de formulação por blending, específicas para produtos de panificação, e determinar a influência das mesmas na qualidade dos pães de forma e nas interações entre as gorduras e o amido da farinha. Para tanto, foram produzidos pré-misturas e pães de forma com a adição de 4% de gordura. Como padrões, foram utilizadas gorduras comerciais, hidrogenada (GHS) e low trans (GLT), além de óleo de soja (OLS). Também foram utilizados os blends de gordura formulados através da RNA (BL1, BL2, BL3 e BL4). Para efeito de controle, foi produzido um pão sem adição de gordura (C). A análise farinográfica mostrou que a absorção de água (ABS) da farinha de trigo pura (59,0%) foi em média 6,5% maior que a das pré-misturas adicionadas de gordura. O tempo de desenvolvimento (Td) foi menor para as amostras GHS, GLT e BL4. A extensografia mostrou que, dentre todas as amostras, a BL4 foi a mais resistente (980 UE) e a menos extensível (114 mm). Isto provavelmente ocorreu devido ao menor teor de óleo de soja em sua constituição (54%), o que pode ter contribuído para uma massa de maior consistência. A análise dos pães produzidos revelou que apenas os volumes específicos das amostras OLS (3,46 mL/g) e BL4 (4,07 mL/g) diferiram significativamente entre si. A análise de firmeza dos pães mostrou que ao longo da estocagem houve diferença significativa entre a firmeza dos pães com gordura e a amostra controle (1005,75 gf), sendo este valor 13% superior ao da amostra GHS - a mais firme dentre os pães com adição de gordura. A uniformidade do miolo foi maior com a utilização de gordura. Nos pães controle (C), a porosidade (26,73%) foi quase 3 vezes superior ao das amostras com a adição dos blends. Os miolos dos pães BL1, BL2, BL3 e BL4 apresentaram alvéolos pequenos e espalhados mais uniformemente, quando comparados aos pães C, GHS, GLT e OLS. Quanto à umidade, os pães com gordura apresentaram um menor teor em relação ao da amostra controle (35%), pois as suas massas absorveram menos água durante a mistura. A análise térmica através de DSC sugeriu um efeito da gordura sobre o envelhecimento dos pães, uma vez que as variações de entalpia de retrogradação foram menores para os pães com gorduras. Os blends de gordura desenvolvidos usando a RNA e aqui utilizados, além do baixo teor de ácidos graxos trans (1,18% em média), apresentaram-se viáveis para aplicação em panificação, sobretudo o BL4
Abstract: Interesterification is a fundamental tool in the development of "zero trans" fats; however, when compared to the hydrogenation process, it presents limitations, especially when developing shortenings for bakery products. According to literature, in the production of pan bread, fat has several functions, such as lubrication and an increase in dough extensibility, and an increase in bread volume and flavor. Fat affects texture, maintaining breads soft for a longer period of time; this is possibly due to its interaction with starch in flour, retarding the retrogradation process and, thus, extending bread shelf-life. The aim of this study was to apply Artificial Neural Network (ANN) technology in the formulation of "zero trans" fats based on soybean oil and soybean interesterified fats to ease the formulation process through blending, for use in bakery products, and determine their influence on the quality of pan bread and on their interaction with starch in flour. For this, pre-mixes and breads with the addition of 4% fat were produced. As standards, commercial fats (hydrogenated soybean fat ¿ GHS and low trans fat ¿ GLT) were used, as well as soybean oil (OLS). The fat blends formulated using the ANN (BL1, BL2, BL3 e BL4) were also used. As control (C), bread without fat addition was prepared. The farinographic analysis showed that water absorption (ABS) of pure wheat flour (59.0%) was in average 6.5% higher than that of the pre-mixes of flour and fats. Dough development time (Td) was lower for the samples GHS, GLT and BL4. The extensographic analysis showed that, amongst all samples, BL4 showed the highest resistance to extension (980 EU) and the lowest extensibility (114 mm). This probably occurred due to the lower soybean oil content in its constitution (54%) that could have contributed to a more consistent dough. The analysis of the breads produced revealed that only the specific volumes of the samples OLS (3.46 mL/g) and BL4 (4.07 mL/g) differed significantly. Firmness analysis of breads showed that throughout the storage period studied there was a significant difference between the firmness of the breads with fats and the control sample (1005.75 gf), being this value 13% higher than that of GHS ¿ the firmest amongst samples with fat. Crumb uniformity was greater with the use of fat. In the control breads (C), porosity (26.73%) was almost 3 times greater than that of the samples with the addition of the blends. The crumbs of breads BL1, BL2, BL3 and BL4 presented small and more uniformly distributed alveoli, when compared to breads C, GHS, GLT and OLS. As to moisture content, breads with fat presented lower values when compared to the control sample (35%), as their doughs absorbed less water during mixing. Thermal analysis through DSC suggested an effect of fat on bread staling, once retrogradation enthalpy changes were lower for breads with fats. The fat blends developed using the ANN and used in this study, as well as having a low trans fatty acid content (1.18% in average), showed feasibility for application in pan bread, especially BL4
Doutorado
Tecnologia de Alimentos
Doutor em Tecnologia de Alimentos
Awano, Tomoyuki. "Three mutations that cause fifferent [i.e. different] forms of canine neuronal ceroid lipofuscinosis." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4592.
Повний текст джерелаTitle from title screen of research.pdf file (viewed on December 22, 2006). The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. "May 2006" Includes bibliographical references.
Bluche, Théodore. "Deep Neural Networks for Large Vocabulary Handwritten Text Recognition." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112062/document.
Повний текст джерелаThe automatic transcription of text in handwritten documents has many applications, from automatic document processing, to indexing and document understanding. One of the most popular approaches nowadays consists in scanning the text line image with a sliding window, from which features are extracted, and modeled by Hidden Markov Models (HMMs). Associated with neural networks, such as Multi-Layer Perceptrons (MLPs) or Long Short-Term Memory Recurrent Neural Networks (LSTM-RNNs), and with a language model, these models yield good transcriptions. On the other hand, in many machine learning applications, including speech recognition and computer vision, deep neural networks consisting of several hidden layers recently produced a significant reduction of error rates. In this thesis, we have conducted a thorough study of different aspects of optical models based on deep neural networks in the hybrid neural network / HMM scheme, in order to better understand and evaluate their relative importance. First, we show that deep neural networks produce consistent and significant improvements over networks with one or two hidden layers, independently of the kind of neural network, MLP or RNN, and of input, handcrafted features or pixels. Then, we show that deep neural networks with pixel inputs compete with those using handcrafted features, and that depth plays an important role in the reduction of the performance gap between the two kinds of inputs, supporting the idea that deep neural networks effectively build hierarchical and relevant representations of their inputs, and that features are automatically learnt on the way. Despite the dominance of LSTM-RNNs in the recent literature of handwriting recognition, we show that deep MLPs achieve comparable results. Moreover, we evaluated different training criteria. With sequence-discriminative training, we report similar improvements for MLP/HMMs as those observed in speech recognition. We also show how the Connectionist Temporal Classification framework is especially suited to RNNs. Finally, the novel dropout technique to regularize neural networks was recently applied to LSTM-RNNs. We tested its effect at different positions in LSTM-RNNs, thus extending previous works, and we show that its relative position to the recurrent connections is important. We conducted the experiments on three public databases, representing two languages (English and French) and two epochs, using different kinds of neural network inputs: handcrafted features and pixels. We validated our approach by taking part to the HTRtS contest in 2014. The results of the final systems presented in this thesis, namely MLPs and RNNs, with handcrafted feature or pixel inputs, are comparable to the state-of-the-art on Rimes and IAM. Moreover, the combination of these systems outperformed all published results on the considered databases
Campbell, Donald. "A normal form analysis of Wilson-Cowan neural oscillators near 1:1 resonance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ56309.pdf.
Повний текст джерелаAmaral, Fernando Carneiro Lyra [UNESP]. "Estudo de uma ferramenta computacional inteligente para auxiliar a análise de ensaios de impulsos atmosféricos em transformadores de distribuição." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/87177.
Повний текст джерелаCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
A proposta deste trabalho consiste em investigar o comportamento de transformadores de distribuição de 25 KVA e de 45 KVA submetidos a ensaios de impulsos atmosféricos. Essa investigação consistiu da verificação da influência dos valores de tempos de frente e de cauda, da forma de onda do impulso, na amplitude das correntes produzidas nos enrolamentos do transformador durante o ensaio. Tais correntes são usualmente empregadas para avaliar o desempenho elétrico dos transformadores e, nessa dissertação, foram usadas para o treinamento e tese de Redes Neurais Artificiais desenvolvidas como ferramentas inteligentes computacionais. Neste contexto, o desempenho de duas Redes Neurais foi avaliado. A primeira rede usou como variável de entrada, os valores de tempo de frente, de caula e da tensão máxima (crista) e, como saída, a corrente máxima no transformador. Na segunda rede neural, a entrada correspondente ao valor da tensão máxima, da primeira rede neural, é substituída pelo valor da taxa de crescimento da tensão. Com base nos resultados obtidos, pode-se verificar que, para determinados valores de tempos de frente e de cauda, a amplitude da corrente máxima, aumenta ou diminui, apresentando um comportamento não-linear. A utilização das Redes Neurais desenvolvidas neste trabalho poderá auxiliar na escolha das características das formas de onda de impulso que tornem mais sensíveis os ensaios de impulsos atmosféricos em transformadores de distribuição. O objetivo é que esse aumento da sensibilidade do ensaio minimize o empirismo e erros de avaliação, contribuindo para tornar mínima a taxa de falha em transformadores
The proposal of this work is to investigate and to analyze the behavior of 25 kVA and 45 KVA distribution transformers under impulses/surge tests. This research consited in a verification of the influence of front and and tail time values, from surge waverfom, in the current magnitude produced in transformer windings during the test. Such currents are usually employed to evalute the perfomers and, in this dissertation, were used for the training and test the Artificial Neural Networks, developed as intelligent computational tools. In this context, the performance of two Neural Networks was evaluated. This first network has used as entry variables: front and tail time and the maximun voltage (crest) values and, as an exist, the maximum current in transformer. In the second neural network, the entry corresponding to the maximum voltage value, from the first neural network, is replaced by the value of the rate of growth of the voltage. Based on the obtained results, one may find out, for certain values front and tail times values, the amplitude of maximum current, increases or decreases, presenting a non-linear behavior. The use of Neural Networks developed in this work can help someone to choose the best impulse waveform characteristics which make the impulse test in distribution transformers more sinsitive. The objective is that the rising the test sensitivity will minimize the empiricism and errors of assessment, helping to reduce the failure rate in transformers
Freeman, Robert Steven. "Neutral Parametric Canonical Form for 2D and 3D Wireframe CAD Geometry." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5688.
Повний текст джерелаCampos, Simone Neves de. "A biópsia cutânea como ferramenta de auxílio para o diagnóstico da forma neural pura da hanseníase." reponame:Repositório Institucional da FIOCRUZ, 2016. http://www.arca.fiocruz.br/handle/icict/15113.
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Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil
A forma neural pura da hanseníase (FNP) está caracterizada pela presença da neuropatia periférica na ausência de lesões dermatológicas. O diagnóstico se baseia na análise histopatológica do nervo periférico em conjunto com os dados clínicos e a eletroneuromiografia. No entanto os achados histopatológicos muitas vezes são inespecíficos e o Mycobacterium leprae raramente é detectado. Diferente da biópsia de nervo, a biópsia cutânea pode ser realizada em unidades básicas de saúde visto se tratar de um exame pouco invasivo e de fácil realização. O objetivo deste estudo foi verificar através da análise histopatológica básica, o valor das biópsias cutâneas como ferramenta para o diagnóstico de pacientes com FNP. Cinquenta fragmentos cutâneos e de nervos periféricos correspondentes de pacientes com FNP e 50 fragmentos cutâneos de pacientes com neuropatias não hansênicas foram examinados através das colorações de hematoxilina&eosina, tricrômico de Gomori e Wade. Nossos resultados indicam que filetes nervosos foram observados em 91% das amostras cutâneas do total de pacientes com neuropatias periféricas. Destes, 33% pertenciam a pacientes com FNP e apresentaram alguma alteração morfológica nos nervos. As características confirmativas (presença de bacilo álcool-ácido resistente- BAAR) ou sugestivas de hanseníase (granuloma epitelióide, inflamação linfo-histiocítica endoneural e fibrose endoneural) foram observadas em 28% das amostras cutâneas. A fibrose foi a principal alteração histopatológica (14/50) e mesmo quando analisada individualmente pode ser sugestiva da doença. A formação de microfascículos foi observado em 4% das amostras sugerindo o papel da biópsia cutânea na identificação do processo regenerativo do nervo. Em 34% dos fragmentos de pele os filetes nervosos estavam normais Quando as amostras cutâneas foram comparadas com as amostras dos nervos periféricos correspondentes, houve concordância em 86% quanto à ausência do BAAR. A inflamação endoneural e o granuloma epitelióide estiveram mais presentes no nervo do que na pele, não sendo um bom parâmetro de análise quando observados individualmente na pele. Outras alterações, consideradas inespecíficas, estiveram presentes em 38% das amostras cutâneas dos pacientes com FNP, como a laminação do perineuro e a proliferação das células de Schwann. O valor preditivo positivo do fragmento cutâneo coletado por procedimento de biópsia para o diagnóstico da FNP foi de 68,2%. Podemos concluir que a análise morfológica detalhada dos filetes nervosos dos fragmentos cutâneos coletados no dermátomo do nervo afetado pode ser uma importante ferramenta de auxílio ao diagnóstico da FNP quando analisadas por patologistas experientes nos centros de referência para o tratamento da hanseníase
Abstract: Pure neural leprosy (PNL), characterized by peripheral neuropathy in the absence of dermatological alterations, is diagnosed based on the nerve biopsy results and the clinic and eletroneuromyograph data. However, histological findings are nonspecific and Mycobacterium leprae detection is rare. Unlike nerve biopsy, a skin biopsy may be performed in basic health units since it is minimally invasive and easy access procedure. The aim of this study was to analyze the value of dermal nerves in routine histopathology of skin samples as a tool for diagnosis. Fifty skin and nerves samples from patients with PNL and fifty skin samples from patients with non-leprosy peripheral neuropathies were examined with hematoxilin&eosin, Gomori\2019s trichrome and Wade stain. Our results showed that nerves are seen in 91% of skin fragments from pacients with leprosy and others neuropathies. Thirty-three per cent were from PNL and had morfological alterations. Confirmatory findings such as acid-fast bacilli (AFB) and other strong sugestive leprosy findings were observed in 28% of the skin samples. Endoneural fibrosis was the major histopathologic alteration (14/50) and can be considered sugestive of leprosy even when seen alone Microfasciculation was observed in 4% of skin biopsies sugesting it\2019s value as a tool for identification of regenerative nerve process. Thirty-four per cent of the skin fragments had normal appearance. When the skin fragments were compared with the corresponding peripheral nerves, there was agreement in 86% regarding the absence of AFB. Endoneurial inflamatory and epithelioid granuloma were more frequent in nerves than in skin fragments. Unspecific alterations such as perineural thickening and Schwann cell proliferation were showed in 38% of skin fragments. The positive predictive value for diagnosis of PNL were 68,2% in skin fragments. We conclude that histopathologic analysis of skin fragments can be useful as a diagnostic tool for PNL when analized by experienced pathologists in referral centers for leprosy treatment
Tripathy, Shreejoy J. "Understanding the Form and Function of Neuronal Physiological Diversity." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/318.
Повний текст джерелаPeris, Abril Álvaro. "Interactivity, Adaptation and Multimodality in Neural Sequence-to-sequence Learning." Doctoral thesis, Universitat Politècnica de València, 2020. http://hdl.handle.net/10251/134058.
Повний текст джерела[CAT] El problema conegut com a de seqüència a seqüència consisteix en transformar una seqüència d'entrada en una seqüència d'eixida. Seguint aquesta perspectiva, es pot atacar una àmplia quantitat de problemes, entre els quals destaquen la traducció automàtica, el reconeixement automàtic de la parla o la descripció automàtica d'objectes multimèdia. L'aplicació de xarxes neuronals profundes ha revolucionat aquesta disciplina, i s'han aconseguit progressos notables. Però els sistemes automàtics encara produeixen prediccions que disten molt de ser perfectes. Per a obtindre prediccions de gran qualitat, els sistemes automàtics són utilitzats amb la supervisió d'un humà, qui corregeix els errors. Aquesta tesi se centra principalment en el problema de la traducció de llenguatge natural, el qual s'ataca emprant models enterament neuronals. El nostre objectiu principal és desenvolupar sistemes més eficients. Per a aquesta tasca, les nostres contribucions s'assenten sobre dos pilars fonamentals: com utilitzar el sistema d'una manera més eficient i com aprofitar dades generades durant la fase d'explotació d'aquest. En el primer cas, apliquem el marc teòric conegut com a predicció interactiva a la traducció automàtica neuronal. Aquest procés consisteix en integrar usuari i sistema en un procés de correcció cooperatiu, amb l'objectiu de reduir l'esforç humà emprat per obtindre traduccions d'alta qualitat. Desenvolupem diferents protocols d'interacció per a aquesta tecnologia, aplicant interacció basada en prefixos i en segments, implementats modificant el procés de cerca del sistema. A més a més, busquem mecanismes per a obtindre una interacció amb el sistema més precisa, mantenint la velocitat de generació. Duem a terme una extensa experimentació, que mostra el potencial d'aquestes tècniques: superem l'estat de l'art anterior per un gran marge i observem que els nostres sistemes reaccionen millor a les interacciones humanes. A continuació, estudiem com millorar un sistema neuronal mitjançant les dades generades com a subproducte d'aquest procés de correcció. Per a això, ens basem en dos paradigmes de l'aprenentatge automàtic: l'aprenentatge mostra a mostra i l'aprenentatge actiu. En el primer cas, el sistema s'actualitza immediatament després que l'usuari corregeix una frase. Per tant, el sistema aprén d'una manera contínua a partir de correccions, evitant cometre errors previs i especialitzant-se en un usuari o domini concrets. Avaluem aquests sistemes en una gran quantitat de situacions i per a dominis diferents, que demostren el potencial que tenen els sistemes adaptatius. També duem a terme una avaluació amb traductors professionals, qui varen quedar molt satisfets amb el sistema adaptatiu. A més, van ser més eficients quan ho van usar, si ho comparem amb el sistema estàtic. Pel que fa al segon paradigma, l'apliquem per a l'escenari en el qual han de traduir-se grans quantitats de frases, i la supervisió de totes elles és inviable. En aquest cas, el sistema selecciona les mostres que paga la pena supervisar, traduint la resta automàticament. Aplicant aquest protocol, reduírem en aproximadament un quart l'esforç necessari per a arribar a certa qualitat de traducció. Finalment, ataquem el complex problema de la descripció d'objectes multimèdia. Aquest problema consisteix en descriure, en llenguatge natural, un objecte visual, una imatge o un vídeo. Comencem amb la tasca de descripció de vídeos d'un domini general. A continuació, ens movem a un cas més específic: la descripció d''esdeveniments a partir d'imatges egocèntriques, capturades al llarg d'un dia. Busquem extraure relacions entre ells per a generar descripcions més informades, desenvolupant un sistema capaç d'analitzar un major context. El model amb context estés genera descripcions de major qualitat que el model bàsic. Finalment, apliquem la predicció interactiva a aquestes tasques multimèdia, di
[EN] The sequence-to-sequence problem consists in transforming an input sequence into an output sequence. A variety of problems can be posed in these terms, including machine translation, speech recognition or multimedia captioning. In the last years, the application of deep neural networks has revolutionized these fields, achieving impressive advances. However and despite the improvements, the output of the automatic systems is still far to be perfect. For achieving high-quality predictions, fully-automatic systems require to be supervised by a human agent, who corrects the errors. This is a common procedure in the translation industry. This thesis is mainly framed into the machine translation problem, tackled using fully neural systems. Our main objective is to develop more efficient neural machine translation systems, that allow for a more productive usage and deployment of the technology. To this end, we base our contributions on two main cornerstones: how to better use of the system and how to better leverage the data generated along its usage. First, we apply the so-called interactive-predictive framework to neural machine translation. This embeds the human agent and the system into a cooperative correction process, that seeks to reduce the human effort spent for obtaining high-quality translations. We develop different interactive protocols for the neural machine translation technology, namely, a prefix-based and a segment-based protocols. They are implemented by modifying the search space of the model. Moreover, we introduce mechanisms for achieving a fine-grained interaction while maintaining the decoding speed of the system. We carried out a wide experimentation that shows the potential of our contributions. The previous state of the art is overcame by a large margin and the current systems are able to react better to the human interactions. Next, we study how to improve a neural system using the data generated as a byproduct of this correction process. To this end, we rely on two main learning paradigms: online and active learning. Under the first one, the system is updated on the fly, as soon as a sentence is corrected. Hence, the system is continuously learning from the corrections, avoiding previous errors and specializing towards a given user or domain. A large experimentation stressed the adaptive systems under different conditions and domains, demonstrating the capabilities of adaptive systems. Moreover, we also carried out a human evaluation of the system, involving professional users. They were very pleased with the adaptive system, and worked more efficiently using it. The second paradigm, active learning, is devised for the translation of huge amounts of data, that are infeasible to being completely supervised. In this scenario, the system selects samples that are worth to be supervised, and leaves the rest automatically translated. Applying this framework, we obtained reductions of approximately a quarter of the effort required for reaching a desired translation quality. The neural approach also obtained large improvements compared with previous translation technologies. Finally, we address another challenging problem: visual captioning. It consists in generating a description in natural language from a visual object, namely an image or a video. We follow the sequence-to-sequence framework, under a a multimodal perspective. We start by tackling the task of generating captions of videos from a general domain. Next, we move on to a more specific case: describing events from egocentric images, acquired along the day. Since these events are consecutive, we aim to extract inter-eventual relationships, for generating more informed captions. The context-aware model improved the generation quality with respect to a regular one. As final point, we apply the intractive-predictive protocol to these multimodal captioning systems, reducing the effort required for correcting the outputs.
Section 5.4 describes an user evaluation of an adaptive translation system. This was done in collaboration with Miguel Domingo and the company Pangeanic, with funding from the Spanish Center for Technological and Industrial Development (Centro para el Desarrollo Tecnológico Industrial). [...] Most of Chapter 6 is the result of a collaboration with Marc Bolaños, supervised by Prof. Petia Radeva, from Universitat de Barcelona/CVC. This collaboration was supported by the R-MIPRCV network, under grant TIN2014-54728-REDC.
Peris Abril, Á. (2019). Interactivity, Adaptation and Multimodality in Neural Sequence-to-sequence Learning [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/134058
TESIS
Fridén, Iselin. "Procrastination as a form of Self-regulation Failure : A review of the cognitive and neural underpinnings." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18620.
Повний текст джерелаPearse, Yewande Elizabeth Oluwashubomi. "Exploring the potential for gene therapy in multiple forms of neuronal ceroid lipofuscinosis (Batten disease)." Thesis, King's College London (University of London), 2016. https://kclpure.kcl.ac.uk/portal/en/theses/exploring-the-potential-for-gene-therapy-in-multiple-forms-of-neuronal-ceroid-lipofuscinosis-batten-disease(745c7347-c316-4d7a-9ef4-c2264e746a7d).html.
Повний текст джерелаLauronen, Leena. "Neuromagnetic studies on somatosensory functions in CLN3, CLN5 and CLN8 forms of neuronal ceroid lipofuscinoses." Helsinki : University of Helsinki, 2001. http://ethesis.helsinki.fi/julkaisut/laa/kliin/vk/lauronenle/.
Повний текст джерелаLurkin, Nicolas. "Neutral pion transition form factor measurement and run control at the NA62 experiment." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7617/.
Повний текст джерелаBuhry, Laure. "Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "insilico"." Thesis, Bordeaux 1, 2010. http://www.theses.fr/2010BOR14057/document.
Повний текст джерелаThese works, which were conducted in a research group designing neuromimetic integrated circuits based on the Hodgkin-Huxley model, deal with the parameter estimation of biological neuron models. The first part of the manuscript tries to bridge the gap between neuron modeling and optimization. We focus our interest on the Hodgkin-Huxley model because it is used in the group. There already existed an estimation method associated to the voltage-clamp technique. Nevertheless, this classical estimation method does not allow to extract precisely all parameters of the model, so in the second part, we propose an alternative method to jointly estimate all parameters of one ionic channel avoiding the usual approximations. This method is based on the differential evolution algorithm. The third chaper is divided into three sections : the first two sections present the application of our new estimation method to two different problems, model fitting from biological data and development of an automated tuning of neuromimetic chips. In the third section, we propose an estimation technique using only membrane voltage recordings – easier to mesure than ionic currents. Finally, the fourth and last chapter is a theoretical study preparing the implementation of small neural networks on neuromimetic chips. More specifically, we try to study the influence of cellular intrinsic properties on the global behavior of a neural network in the context of gamma oscillations
Parviainen, Lotta. "Astrocyte-neuron interactions in the juvenile form of Batten Disease." Thesis, King's College London (University of London), 2013. https://kclpure.kcl.ac.uk/portal/en/theses/astrocyte-neuron-interactions-in-the-juvenile-form-of-batten-disease(566b0c58-a020-44ef-834c-8e7a64e6dcc5).html.
Повний текст джерелаMedeiros, Mildred Ferreira. "Hanseníase neural, aspectos diagnósticos da forma neural pura e mecanismos imunopatogênicos da lesão do nervo na doença. Participação de quimiocinas CCL2 e CXCL10 e metaloproteinases 2 e 9." Universidade do Estado do Rio de Janeiro, 2014. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=7356.
Повний текст джерелаO diagnóstico da hanseníase neural pura baseia-se em dados clínicos e laboratoriais do paciente, incluindo a histopatologia de espécimes de biópsia de nervo e detecção de DNA de Mycobacterium leprae (M. leprae) pelo PCR. Como o exame histopatológico e a técnica PCR podem não ser suficientes para confirmar o diagnóstico, a imunomarcação de lipoarabinomanana (LAM) e/ou Glicolipídio fenólico 1 (PGL1) - componentes de parede celular de M. leprae foi utilizada na primeira etapa deste estudo, na tentativa de detectar qualquer presença vestigial do M. leprae em amostras de nervo sem bacilos. Além disso, sabe-se que a lesão do nervo na hanseníase pode diretamente ser induzida pelo M. leprae nos estágios iniciais da infecção, no entanto, os mecanismos imunomediados adicionam severidade ao comprometimento da função neural em períodos sintomáticos da doença. Este estudo investigou também a expressão imuno-histoquímica de marcadores envolvidos nos mecanismos de patogenicidade do dano ao nervo na hanseníase. Os imunomarcadores selecionados foram: quimiocinas CXCL10, CCL2, CD3, CD4, CD8, CD45RA, CD45RO, CD68, HLA-DR, e metaloproteinases 2 e 9. O estudo foi desenvolvido em espécimes de biópsias congeladas de nervo coletados de pacientes com HNP (n=23 / 6 BAAR+ e 17 BAAR - PCR +) e pacientes diagnosticados com outras neuropatias (n=5) utilizados como controle. Todas as amostras foram criosseccionadas e submetidas à imunoperoxidase. Os resultados iniciais demonstraram que as 6 amostras de nervos BAAR+ são LAM+/PGL1+. Já entre as 17 amostras de nervos BAAR-, 8 são LAM+ e/ou PGL1+. Nas 17 amostras de nervos BAAR-PCR+, apenas 7 tiveram resultados LAM+ e/ou PGL1+. A detecção de imunorreatividade para LAM e PGL1 nas amostras de nervo do grupo HNP contribuiu para a maior eficiência diagnóstica na ausência recursos a diagnósticos moleculares. Os resultados da segunda parte deste estudo mostraram que foram encontradas imunoreatividade para CXCL10, CCL2, MMP2 e MMP9 nos nervos da hanseníase, mas não em amostras de nervos com outras neuropatias. Além disso, essa imunomarcação foi encontrada predominantemente em células de Schwann e em macrófagos da população celular inflamatória nos nervos HNP. Os outros marcadores de ativação imunológica foram encontrados em leucócitos (linfócitos T e macrófagos) do infiltrado inflamatório encontrados nos nervos. A expressão de todos os marcadores, exceto CXCL10, apresentou associação com a fibrose, no entanto, apenas a CCL2, independentemente dos outros imunomarcadores, estava associada a esse excessivo depósito de matriz extracelular. Nenhuma diferença na frequência da imunomarcação foi detectada entre os subgrupos BAAR+ e BAAR-, exceção feita apenas às células CD68+ e HLA-DR+, que apresentaram discreta diferença entre os grupos BAAR + e BAAR- com granuloma epitelioide. A expressão de MMP9 associada com fibrose é consistente com os resultados anteriores do grupo de pesquisa. Estes resultados indicam que as quimiocinas CCL2 e CXCL10 não são determinantes para o estabelecimento das lesões com ou sem bacilos nos em nervo em estágios avançados da doença, entretanto, a CCL2 está associada com o recrutamento de macrófagos e com o desenvolvimento da fibrose do nervo na lesão neural da hanseníase.
The diagnosis of pure neural leprosy (PNL) is based on clinical and laboratory data, including the histopathology of nerve biopsy specimens and detection of M. leprae DNA by polymerase chain reaction (PCR). Given that histopathological examination and PCR methods may not be sufficient to confirm diagnosis, immunolabeling of lipoarabinomanan (LAM) and/or phenolic glycolipid 1 (PGL1) M. leprae wall components were utilized in the first step of this investigation in an attempt to detect any vestigial presence of M. leprae in AFB- nerve samples. Furthermore, its well known that nerve damage in leprosy can be directly induced by Mycobacterium leprae in the early stages of infection; however, immunomediated mechanisms add gravity to the impairment of neural function in symptomatic periods of the disease. Therefore, this study also investigated the immunohistochemical expression of immunomarkers involved in the pathogenic mechanisms of leprosy nerve damage. These markers selected were CXCL10, CCL2 chemokines and CD3, CD4, CD8, CD45RA, CD45RO, CD68, HLA-DR, metalloproteinases 2 and 9 in nerve biopsy specimens collected from leprosy (23) and nonleprosy patients (5) suffering peripheral neuropathy. Twenty-three PNL nerve samples (6 AFB+ and 17 AFB-PCR+) were cryosectioned and submitted to LAM and PGL1 immunohistochemical staining by immunoperoxidase; 5 nonleprosy nerve samples were used as controls. The 6 AFB-positive samples showed LAM/PGL1 immunoreactivity. Among the 17 AFB- samples, only 8 revealed LAM and/or PGL1 immunoreactivity. In 17 AFB-PCR+ patients, just 7 had LAM and/or PGL1-positive nerve results. In the PNL cases, the detection of immunolabeled LAM and PGL1 in the nerve samples would have contributed to enhanced diagnostic efficiency in the absence of molecular diagnostic facilities. The results of the second part of this study showed that CXCL10-, CCL2-, MMP2- and MMP9-immunoreactivities were found in the leprosy nerves but not in nonleprosy samples. Immunolabeling was predominantly found in recruited macrophages and Schwann cells composing the inflammatory cellular population in the leprosy-affected nerves. The immunohistochemical expression of all the markers, but CXCL10, was associated with fibrosis; however, only CCL2 was, independently from the other markers, associated with this excessive deposit of extracellular matrix. No difference in the frequency of the immunolabeling was detected between the AFB+ and AFB- leprosy subgroups of nerves, exception made to some statistical tendency to difference in regard to CD68+ and HLA-DR+ cells in the AFB- nerves exhibiting epithelioid granuloma. MMP9 expression associated with fibrosis is consistent with previous results of this research group. The findings conveys the idea that CCL2 and CXCL10 chemokines at least in advanced stages of leprosy nerve lesions are not determinant for the establishment of AFB+ or AFB- leprosy lesions, however, CCL2 is associated with macrophage recruitment and fibrosis.
Braini, Céline. "Approche biophysique des formes neuronales." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAY091/document.
Повний текст джерелаThe thesis deals with the control and the measurement of neuronal shapes, "control" by using adhesive micropatterns allowing to constrain cells shape in two dimensions, "measurement" by using either interferometry or fluorescence measurements in confined spaces to gain knowledge on cell dry mass and volume.The biological question at the heart of this thesis is the regulation by the neuron of its various morphological characteristics such as length, volume, in association with the establishment of the axo-dendritic polarity. These aspects are developed and deepened in the course of this thesis on experimental but also theoretical (coll. Nir Gov, Weizmann Institute) point of views.This multidisciplinary thesis topic thus builds on biological aspects and physical instrumentation
Yu, Xi, and 郁曦. "Neural representations of Chinese noun and verb processing at the semantic, lexical form, and morpho-syntactic levels." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/195965.
Повний текст джерелаpublished_or_final_version
Speech and Hearing Sciences
Doctoral
Doctor of Philosophy
Nožka, Tomáš. "Optické zpracování dotazníkových dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219323.
Повний текст джерелаChbihi, Abdelouahed. "Analyse scalaire et tensorielle de la refermeture des porosités en mise forme." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEM047/document.
Повний текст джерелаThe presence of voids in ingots is a major issue in the casting industry. These voids decrease materials properties (in particular ductility) and may induce premature failure during metal forming or service life. Hot metal forming processes are therefore used to close these voids and obtain a sound product. However, the amount of deformation required to close these voids is difficult to estimate.Numerical modeling is an interesting tool to study the influence of process parameters on void closure rate. In this work, an optimization-based strategy has been developed to identify the parameters of a mean-field model based on a database of 800 full-field REV simulations with various loading conditions and voids geometry and orientations. The first void closure model is a scalar model that gets rid of the axisymmetric loading hypothesis considered in most models in the literature. The Lode angle, coupled with the stress triaxiality ratio enables to identify the stress state in a unique way. Comparisons of this new model with three other models fromthe literature show the accuracy increase for general loading conditions. In order to address multistages processes, a second model is defined in a tensor version. The ellipsoid void inertia matrix is used to define void’s morphology, orientation and volume. The tensor model predicts the evolution of the inertia terms and its calibration is based on the full-field REV database and on a new Artificial Neural Networks approach. Comparisons were carried out between this tensor model, the scalar model and full-field simulations for multi-stages configurations. These comparisons showed up to 35% accuracy improvement with the tensor model. It is worth mentioning that this is the first attempt to define a void closure tensor model in the literature
Ekstedt, Erik. "A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-349381.
Повний текст джерелаMiyahara, Ryo. "Expression of neural cell adhesion molecules(polysialated form of neural cell adhesion molecule and L1-cell adhesion molecule)on resected small cell lung cancer specimens : in relation to proliferation state." Kyoto University, 2001. http://hdl.handle.net/2433/150163.
Повний текст джерелаPinheiro, de Carvalho Marcela. "Deep Depth from Defocus : Neural Networks for Monocular Depth Estimation." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS609.
Повний текст джерелаDepth estimation from a single image is a key instrument for several applications from robotics to virtual reality. Successful Deep Learning approaches in computer vision tasks as object recognition and classification also benefited the domain of depth estimation. In this thesis, we develop methods for monocular depth estimation with deep neural network by exploring different cues: defocus blur and semantics. We conduct several experiments to understand the contribution of each cue in terms of generalization and model performance. At first, we propose an efficient convolutional neural network for depth estimation along with a conditional Generative Adversarial framework. Our method achieves performances among the best on standard datasets for depth estimation. Then, we propose to explore defocus blur cues, which is an optical information deeply related to depth. We show that deep models are able to implicitly learn and use this information to improve performance and overcome known limitations of classical Depth-from-Defocus. We also build a new dataset with real focused and defocused images that we use to validate our approach. Finally, we explore the use of semantic information, which brings rich contextual information while learned jointly to depth on a multi-task approach. We validate our approaches with several datasets containing indoor, outdoor and aerial images
Bastos, Igor Leonardo Oliveira. "Reconhecimento de sinais da libras utilizando descritores de forma e redes neurais artificiais." Instituto de Matemática. Departamento de Ciência da Computação, 2015. http://repositorio.ufba.br/ri/handle/ri/19374.
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Gestos são ações corporais não-verbais voltadas para a expressão de algum significado. Estes incluem movimentos de mãos, face, braços, dedos, entre outros, sendo abordados por trabalhos que visam reconhecê-los para promover interações humanas com sistemas computacionais. Devido à grande aplicabilidade do reconhecimento de gestos, tem-se notado que estes trabalhos estão se tornando mais comuns, utilizando técnicas e metodologias mais elaboradas e capazes de prover resultados cada vez melhores. A opção por quais técnicas aplicar para o reconhecimento de gestos varia de acordo com a estratégia empregada em cada trabalho e quais aspectos são utilizados para este reconhecimento. Tem-se, por exemplo, trabalhos baseados no uso de modelos estatísticos. Outros optam pela aquisição de características geométricas de mãos e partes do corpo, enquanto outros, dentre os quais se enquadra o presente trabalho, optam pelo uso de descritores e classificadores, responsáveis por extrair características das imagens relevantes para o seu reconhecimento e; por realizar a classificação efetiva dos gestos baseado nestas informações. Neste âmbito, o presente trabalho visa elaborar, aplicar e apresentar uma abordagem para o reconhecimento de gestos, embasando-se em uma revisão da literatura a respeito das principais técnicas e metodologias empregadas para este fim e escolhendo como campo prático, a Língua Brasileira de Sinais (Libras). Para a extração de informações das imagens, optou-se pelo uso de um vetor de características resultante da aplicação dos descritores Histograma de Gradientes Orientados (HOG) e Momentos Invariantes de Zernike (MIZ), os quais voltam-se para as formas e contornos presentes nas imagens. Para o reconhecimento, foi utilizado o classificador Perceptron Multicamada, sendo este disposto em uma arquitetura onde o processo de classificação é dividido em 2 estágios. Devido à inexistência de datasets públicos da Libras, fez-se necessária, com o auxílio de especialistas da língua e alunos surdos, a criação de um dataset de 9600 imagens, as quais referem-se a 40 sinais da Libras. Isso fez com que a presente abordagem partisse desta criação do dataset até a etapa final de classificação dos sinais. Por fim, testes foram realizados e obteve-se 96,77% de taxa de acerto, evidenciando um alto índice de acerto. Este resultado foi validado considerando possíveis ameaças à abordagem, como a realização de testes considerando um indivíduo não-presente no conjunto de treinamento do classificador e a aplicação da abordagem em um dataset público de gestos.
Buhry, Laure. "Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "in silico"." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2010. http://tel.archives-ouvertes.fr/tel-00561396.
Повний текст джерелаKnyazeva, Stanislava [Verfasser]. "Effects of different forms of engagement on the neuronal activity in the monkey's primary auditory cortex / Stanislava Knyazeva." Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2018. http://d-nb.info/121996641X/34.
Повний текст джерелаMiśkiewicz, Agnieszka. "Interactions entre mouvement et forme lors de la reconnaissance d'objets 3D dynamqiues: comportement et bases neurales : comportement et bases neurales." Paris 6, 2009. http://www.theses.fr/2009PA066084.
Повний текст джерелаNatowicz, René. "Apprentissage symbolique automatique en reconnaissance d'images." Paris 11, 1987. http://www.theses.fr/1987PA112301.
Повний текст джерелаFischer, Manfred M., and Martin Reismann. "A methodology for neural spatial interaction modeling." Wiley-Blackwell, 2002. http://epub.wu.ac.at/5491/1/NeuralSpaital.pdf.
Повний текст джерелаMarin, Luciene de Oliveira. "Investigações sobre redes neurais artificiais para o reconhecimento de faces humanas na forma 3D." Florianópolis, SC, 2003. http://repositorio.ufsc.br/xmlui/handle/123456789/85039.
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Reconhecimento de faces humanas é uma área de grande interesse no mundo científico. A maioria das tecnologias desenvolvidas utiliza imagens com informação 2D. Este trabalho contou com um método inédito de processamento para a obtenção da forma 3D de uma face. Por meio dele se produziu várias bases de dados, com diferentes resoluções e níveis de ruído aceitáveis. Elas foram utilizadas na construção de um sistema de reconhecimento de face baseado em redes neurais artificiais. A vantagem de se utilizar a forma 3D da face está na exclusão de problemas ocasionados pela iluminação e desalinhamento.
Bolaños, Solà Marc. "Deep Multimodal Learning for Egocentric Storytelling and Food Analysis." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/671672.
Повний текст джерелаEl mundo del Machine Learning y la Visión por Computador ha experimentado una revolución los últimos años. La aparición de algoritmos de Deep Learning y Convolutional Neural Networks, junto con las mayores capacidades de procesamiento proporcionadas por GPU modernas y las enormes cantidades de datos anotados disponibles públicamente, han permitió un impulso en el campo como nunca antes se había visto.Estas notables mejoras logradas en el mundo del Machine Learning han llevado a la aparición de nuevos campos como el Aprendizaje Multimodal, que engloba y aprende de muchos subcampos. Además, nuevas aplicaciones han aprovechado estos avances para alcanzar altos niveles de rendimiento. La enorme mejora en los resultados de los algoritmos disponibles actualmente ha permitido no solo revolucionar el mundo académico, sino también llevar al mercado soluciones basadas en IA que parecían ciencia ficción hace apenas 10 años.Esta tesis, que está escrita como un compendio de artículos, se enfoca en profundizar en el novedoso tema del Aprendizaje Multimodal Profundo al proponer nuevos algoritmos y soluciones para problemas ya existentes y recientemente definidos. Desde la perspectiva de las aplicaciones, la mayoría de los trabajos presentados se pueden dividir en dos áreas de aplicabilidad. Por un lado, la Visión Egocéntrica y el Storytelling, que consiste en la adquisición de imágenes de la vida diaria de una persona para analizar su comportamiento y extraer patrones asociadas a estos como por ejemplo interacciones sociales, actividades y eventos, interacciones con objetos, etc. Y por otro lado, el Reconocimiento y Análisis de Alimentos, que consiste en visualmente analizar y reconocer la comida que aparece en imágenes en múltiples contextos y con diferentes niveles de complejidad, desde el reconocimiento de grupos de alimentos hasta el análisis nutricional.En ambas aplicaciones, el propósito final de los artículos propuestos es construir herramientas que brinden información que pueda conducir a una mejor calidad de vida de los usuarios.
Flores, Quiroz Martín. "Descriptive analysis of the acquisition of the base form, third person singular, present participle regular past, irregular past, and past participle in a supervised artificial neural network and an unsupervised artificial neural network." Tesis, Universidad de Chile, 2013. http://www.repositorio.uchile.cl/handle/2250/115653.
Повний текст джерелаStudying children’s language acquisition in natural settings is not cost and time effective. Therefore, language acquisition may be studied in an artificial setting reducing the costs related to this type of research. By artificial, I do not mean that children will be placed in an artificial setting, first because this would not be ethical and second because the problem of the time needed for this research would still be present. Thus, by artificial I mean that the tools of simulation found in artificial intelligence can be used. Simulators as artificial neural networks (ANNs) possess the capacity to simulate different human cognitive skills, as pattern or speech recognition, and can also be implemented in personal computers with software such as MATLAB, a numerical computing software. ANNs are computer simulation models that try to resemble the neural processes behind several human cognitive skills. There are two main types of ANNs: supervised and unsupervised. The learning processes in the first are guided by the computer programmer, while the learning processes of the latter are random.
Leite, Fernando Barbosa. "Uso de algoritmos de classificação de imagens para detecção de formas humanas em cenas aéreas de desastres/." reponame:Biblioteca Digital de Teses e Dissertações da FEI, 2015. http://sofia.fei.edu.br:8080/pergamumweb/vinculos/00002c/00002cef.pdf.
Повний текст джерелаCastro, Fernando Ricardo Serejo de. "Alterações neurológicas na forma neural pura de hanseníase: aplicação do grau de incapacidade física e da classificação internacional de funcionalidade, incapacidade e saúde." Instituto Oswaldo Cruz, 2012. https://www.arca.fiocruz.br/handle/icict/6975.
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Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil
A hanseníase neural pura (NP) caracteriza-se pelo comprometimento nervoso sem o aparecimento de lesões cutâneas. O objetivo do estudo foi descrever as alterações neurológicas observadas na forma NP e caracterizar a funcionalidade e as incapacidades encontradas nestes pacientes. Trata-se de um estudo retrospectivo, realizado com dados de 79 pacientes que confirmaram diagnóstico de NP acompanhados no Ambulatório Souza Araújo (ASA), no período de 2000 a 2010. As informações foram obtidas a partir de prontuários médicos e de bancos de dados. A Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF) foi aplicada a partir da análise das avaliações neurológicas e fisioterapêuticas. Foi realizada uma análise de frequência para verificar a distribuição dos casos de NP em relação às variáveis demográficas, socioeconômicas e epidemiológicas (no diagnóstico), às variáveis do exame neurológico, ao grau de incapacidade física (GIF) e aos códigos da CIF (no diagnóstico e na alta). Para avaliar as características demográficas, socioeconômicas e epidemiológicas, foi realizada uma comparação entre o grupo de pacientes NP com o grupo de 634 pacientes com hanseníase paucibacilar (PB), acompanhados no ASA, no mesmo período dos pacientes NP. Além disso, foi investigada a relação do grau de incapacidade física no diagnóstico com as variáveis socioeconômicas e demográficas dos dois grupos de pacientes, através do teste de qui-quadrado (2). A maioria dos pacientes NP (71%) e PB (57,5%) era do sexo masculino e em relação à faixa etária, os pacientes NP foram acometidos mais tardiamente pela hanseníase do que os pacientes PB. A maior proporção dos pacientes NP (55%) e PB (47,5%) estava empregada e trabalhava no mercado informal. A renda familiar mensal não diferiu significativamente entre os grupos. Quanto à escolaridade, a maior parte dos pacientes apresentava até oito anos de estudo. Em relação ao modo de detecção, a maior proporção dos pacientes foi encaminhada ao ASA por meio algum serviço público de saúde. Quanto às alterações neurológicas nos pacientes NP, o sintoma inicial relatado com mais frequência foi a parestesia (52%) e o sinal predominante observado no exame diagnóstico foi a alteração de sensibilidade (87%). Na avaliação de alta, houve uma menor proporção de todos os sinais e sintomas neurológicos. Em relação ao GIF, 44,3% dos pacientes apresentaram algum GIF e na alta, 24% dos indivíduos permaneceram com algum grau de incapacidade. No tocante à CIF, dentro do domínio ―Estruturas do Corpo‖, o código mais frequente foi ―nervos raquidianos‖ (s1201) e no domínio ―Função do Corpo‖, o código mais frequente foi ―sensibilidade à temperatura‖ (b2700) no diagnóstico e ―sensibilidade a estímulos nocivos‖ (b2703) na alta. Este estudo apontou uma associação entre baixas condições socioeconômicas e um pior escore de GIF e caracterizou funcionalmente os pacientes NP.
The Pure Neural Leprosy (PNL) is characterized by neural involvement without the appearance of skin lesions. The goal of the study was to describe the neurological changes observed in the PNL and to characterize the functionality and the disabilities found in these patients. This is a retrospective study, conducted with 79 patients who confirmed diagnosis of PNL accompanied at Souza Araújo Clinic (ASA), from 2000 to 2010.The information was obtained from patient records and databases. The International Classification of Functioning, Disability and Health (ICF) was applied from the neurological and physiotherapeutic evaluations. A frequency analysis was conducted to verify the distribution of cases of PNL in relation to demographic and socioeconomic variables (diagnosis), neurological examination variables, grade of disability (GD) and ICF codes (upon diagnosis and release from treatment). In order to assess demographic and socioeconomic characteristics, a comparative study was undertaken between the PNL patients and the 634 paucibacillary leprosy (PB) patients, accompanied at ASA, during the same period as the PNL patients. Furthermore, the relationship between the GD at diagnosis with socioeconomic and demographic variables of two groups of patients was investigated using the chi-squared test, (2). The majority of PNL patients (71%) and PB (57.5%) were male and PNL patients were affected by leprosy at a later age than PB patients. The largest proportion of PNL patients (55%) and PB (47.5%) was employed in the informal market. The monthly household income did not differ significantly between groups. With regard to schooling, most patients had up to eight years of study. In relation to detection, the largest proportion of patients was referred to ASA from other public health services. With regard to neurological alterations in PNL patients, the most frequently reported initial symptom was the paresthesia (52%) and the predominant sign observed in the examination diagnosis was sensory alteration (87%). At evaluation after release from treatment, there was an overall reduction of all neurological signs and symptoms. Regarding GD, 44.3% of the patients had some GD, and at release from treatment, while 24% of individuals remained with some grade of disability. Regarding ICF, within the domain "Body Structures", the most frequent code was "spinal nerves" (s1201) and in the field "Body Functions", the most frequent code was "Sensitivity to Temperature" (b2700) at diagnosis and "Sensitivity to Noxious Stimuli" (b2703) at release from treatment. This study noted an association between low socio-economic conditions and a worse ICF score and characterized PNL patients functionally.
Lundström, Edvin. "On the Proxy Modelling of Risk-Neutral Default Probabilities." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273624.
Повний текст джерелаSedan Lehman Brothers konkurs 2008 har det blivit allt viktigare att mäta, hantera och prissätta kreditrisken i finansiella derivat. Kreditrisk i finansiella derivat benämns ofta motpartsrisk (CCR). Priset på motpartsrisk fångas i kreditvärderingsjustering (CVA). Denna justering bör i princip alltid ingå i värderingen av ett derivat som handlas över disk (eng. over-the-counter, OTC). För att beräkna CVA behöver man veta sannolikheten för fallissemang (konkurs) hos motparten. Eftersom CVA är ett pris, behöver man den riskneutrala sannolikheten för fallissemang. Det typiska tillvägagångsättet för att erhålla riskneutrala sannolikheter är att bygga kreditkurvor kalibrerade med hjälp av kreditswappar (CDS:er). För en majoritet av en banks motparter finns emellertid ingen likvid handel i CDS:er. Detta utgör en stor utmaning. Hur ska man modellera riskneutrala fallissemangssannolikheter vid avsaknad av observerbara CDS-spreadar? Ett antal metoder för att konstruera proxykreditkurvor har föreslagits tidigare. Ett särskilt populärt val är den så kallade Nomura- (eller cross-section) modellen. När vi studerar denna modell hittar vi ett par svagheter, som i vissa fall leder till degenererade proxykreditkurvor. I den här uppsatsen föreslår vi en förändrad modell, där den modellerade kvantiteten byts från CDS-spreaden till riskfrekvensen (eng. hazard rate). Därmed säkerställs att de erhållna proxykurvorna är giltiga, per konstruktion. Vi finner att Nomura-modellen i praktiken i många fall ger degenererade proxykreditkurvor. Vi finner inga sådana problem för den förändrade modellen. I andra fall ser vi att skillnaderna mellan modellerna är små. Slutsatsen är att den förändrade modellen är ett bättre val eftersom den är teoretiskt sund och robust.
Falez, Pierre. "Improving spiking neural networks trained with spike timing dependent plasticity for image recognition." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I101.
Повний текст джерелаComputer vision is a strategic field, in consequence of its great number of potential applications which could have a high impact on society. This area has quickly improved over the last decades, especially thanks to the advances of artificial intelligence and more particularly thanks to the accession of deep learning. Nevertheless, these methods present two main drawbacks in contrast with biological brains: they are extremely energy intensive and they need large labeled training sets. Spiking neural networks are alternative models offering an answer to the energy consumption issue. One attribute of these models is that they can be implemented very efficiently on hardware, in order to build ultra low-power architectures. In return, these models impose certain limitations, such as the use of only local memory and computations. It prevents the use of traditional learning methods, for example the gradient back-propagation. STDP is a learning rule, observed in biology, which can be used in spiking neural networks. This rule reinforces the synapses in which local correlations of spike timing are detected. It also weakens the other synapses. The fact that it is local and unsupervised makes it possible to abide by the constraints of neuromorphic architectures, which means it can be implemented efficiently, but it also provides a solution to the data set labeling issue. However, spiking neural networks trained with the STDP rule are affected by lower performances in comparison to those following a deep learning process. The literature about STDP still uses simple data but the behavior of this rule has seldom been used with more complex data, such as sets made of a large variety of real-world images.The aim of this manuscript is to study the behavior of these spiking models, trained through the STDP rule, on image classification tasks. The main goal is to improve the performances of these models, while respecting as much as possible the constraints of neuromorphic architectures. The first contribution focuses on the software simulations of spiking neural networks. Hardware implementation being a long and costly process, using simulation is a good alternative in order to study more quickly the behavior of different models. Then, the contributions focus on the establishment of multi-layered spiking networks; networks made of several layers, such as those in deep learning methods, allow to process more complex data. One of the chapters revolves around the matter of frequency loss seen in several spiking neural networks. This issue prevents the stacking of multiple spiking layers. The center point then switches to a study of STDP behavior on more complex data, especially colored real-world image. Multiple measurements are used, such as the coherence of filters or the sparsity of activations, to better understand the reasons for the performance gap between STDP and the more traditional methods. Lastly, the manuscript describes the making of multi-layered networks. To this end, a new threshold adaptation mechanism is introduced, along with a multi-layer training protocol. It is proven that such networks can improve the state-of-the-art for STDP
Souza, Rafael Ribeiro. "Estudo da forma do fuste de ?rvores de eucaliptos em diferentes espa?amentos." UFVJM, 2013. http://acervo.ufvjm.edu.br:8080/jspui/handle/1/354.
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Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES)
Os objetivos deste estudo foram: avaliar o efeito do arranjo espacial de plantio na forma do fuste de ?rvores de eucalipto; avaliar se as redes neurais artificiais estimam com precis?o o afilamento, os di?metros ao a qualquer altura especificada e as alturas a qualquer di?metro especificado em fustes de eucalipto; estudar a forma dos fustes em arvores de eucalipto em diferentes arranjos espaciais e idades, e de maneira espec?fica, determinar as formas geom?tricas aproximadas, que ocorrem ao longo destes fustes e as suas propor??es em rela??o ? altura total. Foram utilizados dados de um experimento implantado em dezembro de 2002, no delineamento em blocos (tr?s blocos), sendo testados os arranjos espaciais de 3,0 x 0,5; 3,0 x 1,0; 3,0 x 1,5; 3,0 x 2,0 e 3,0 x 3,0 m. Foram utilizados tamb?m, dados de ?rvores provenientes de um sistema agroflorestal-SAF, plantio com 6,03 hectares, implantado em dezembro de 1993, no arranjo espacial de 10,0 x 4,0 m. Para analisar a forma m?dia dos fustes foram utilizados modelos de Kozak, Sch?epfer, Garay, Demaerschalk e Ormerod. Os modelos selecionados foram de Garay e de Sh?epfer. A escolha foi feita com base nas estat?sticas, coeficiente de correla??o, erro-padr?o residual, Bias e da an?lise gr?fica dos res?duos. Testes de identidade de modelos foram aplicados nos modelos selecionados com a finalidade de verificar a igualdade entre a forma dos fustes. Foram utilizadas redes neurais artificiais feed-forward, do tipo Multilayer Perceptrons, treinadas por meio do algoritmo error-backpropagation. Para os ajustes das redes foi utilizada uma aplica??o computacional em linguagem Java, e para as fun??es destinadas ao treinamento e aplica??o foi utilizada a biblioteca Weka. As estat?sticas de acur?cia utilizadas para avaliar as melhores redes foram a raiz quadrada do erro m?dio e as correla??es entre os valores observados e os valores estimados. Utilizando a equa??o geral das curvas, buscou-se determinar a forma aproximada do s?lido geom?trico m?dio dos fustes e descrever as formas geom?tricas aproximadas que os fustes assumem ao longo de seu comprimento, determinar os seus pontos aproximados de inflex?o e a propor??o de cada forma em rela??o ? altura total. O modelo de Garay ? o mais indicado para descrever o taper de eucaliptos nos arranjos espaciais avaliados. Foi aceita a hip?tese de nulidade no teste de identidade de modelos n?o linear, indicando a igualdade entre as equa??es nos arranjos de 3,0 x 0,5 e 3,0 x 1,0 m. Para uma dist?ncia de 3,0 metros entre fileiras, quanto maior a dist?ncia entre plantas, mais c?nica ? a forma do fuste. A rede neural artificial estimou com precis?o o afilamento dos fustes, distinguindo as varia??es na forma dos fustes em virtude dos diferentes arranjos espaciais. A rede neural artificial estimou com precis?o os di?metros a qualquer altura especificada. As estimativas das alturas a qualquer di?metro especificado, obtidas pela RNA e pelo modelo de taper de Garay, apresentaram valores de erros percentuais acentuados na base dos fustes, em todos os arranjos espaciais. Os fustes nos arranjos de 3,0 x 0,5 e 3,0 x 3,0 m, apresentaram a forma m?dia de um parabol?ide, j? os fustes no arranjo de 10,0 x 4,0 m, a forma m?dia de um tronco de cone. Os fustes nos arranjos espaciais 3,0 x 0,5 e 3,0 x 3,0 m, assumem as formas de um tronco de neil?ide, um tronco de cone e um parabol?ide, nas propor??es de 10,96; 43,81 e 45,14 %, e de 14,58; 37,76 e 47,66 %, respectivamente. Os fustes referentes ao arranjo espacial 10,0 x 4,0 m, assumem as formas de um tronco de neil?ide e de um tronco de cone, nas propor??es de 20,78 e 79,30 %, respectivamente, em rela??o ? altura total.
Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2013.
ABSTRACT The objectives of this study were: assess the effect of the planting?s spatial arrangement in the bole form of eucalypt trees; evaluate whether artificial neural networks estimate the tapering with accuracy, the diameters at any specified height and the heights at any specified diameter in eucalypt boles; study the boles? form in eucalypt trees in different spatial arrangements and ages, and in a specific manner, determine the approximate geometric shapes that occur along these boles and their proportions in relation to the total height. There were utilized data from an experiment established in December 2002, in blocks design (three blocks), being tested the spatial arrangements of 3,0 x 0,5; 3,0 x 1,0; 3,0 x 1,5; 3,0 x 2,0 and 3,0 x 3,0 m. There were also used, tree data from an agroforestry system-AFS, with 6,03 hectares of planting, established in December 1993, with spatial arrangement of 10,0 x 4,0 m. To analyze the average forms of the boles, there were used Kozak, Sch?epfer, Garay, Demaerschalk and Ormerod models. The selected models were Garay and Sh?epfer. The selection was made based on the statistics, correlation coefficient, residual standard error, Bias and graphical analysis of the residuals. Models identity tests were applied on the selected models in order to verify the equivalence between the shape of the boles. There were used feed-forward artificial neural networks, Multilayer Perceptron type, trained by the error-backpropagation algorithm. To adjust the networks it was utilized a computational application in Java language, and for the functions intended for training and application it was used the Weka library. The accuracy statistics used to evaluate the best networks were the root mean square error and the correlations between the observed and estimated values?. Using the general equation of the curves, it aimed to determine the approximate shape of the mean geometric solid for the boles and describe the approximate geometric shapes that the boles assume along their length, determine their approximate inflection points and the proportion of each form in relation to the total height. The Garay model is the most suitable to describe the taper of eucalypts in the evaluated spatial arrangements. It was accepted the null hypothesis in the identity test of nonlinear models, indicating equality between the equations in the arrangements of 3,0 x 0,5 and 3,0 x 1,0 m. For a distance of 3,0 m between the rows, the greater the distance between plants is, more conical shaped is the bole. The artificial neural network estimated with accuracy the tapering of the boles, distinguishing variations in the form of the boles due to the different spatial arrangements. The artificial neural network estimated with accuracy the diameters at any specified height. The estimates heights at any specified diameter, obtained by the ANN and taper model of Garay, presented values of percentage errors accented at the base of the boles, in all spatial arrangements. The boles in the arrangements of 3,0 x 0,5 and 3,0 x 3,0 m, presented the mean form of a paraboloid, while the boles in the arrangement of 10,0 x 4,0 m, the mean form of a conic trunk. The boles in the spatial arrangements 3,0 x 0,5 and 3,0 x 3,0 m, assume the forms of a neiloid trunk, a conic trunk and a paraboloid, in the proportions of 10,96; 43.81 and 45,14 %, and of 14,58; 37,76 and 47,66 %, respectively. The boles for the spatial arrangement of 10,0 x 4,0 m, assume the forms of a neiloid trunk and a conic trunk, in the proportions of 20,78 and 79,30 %, respectively, in relation to the total height.
Miazaki, Mauro. "Estudo da forma, função e expressão gênica em neurociência." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-27062012-084104/.
Повний текст джерелаDuring the development of a neuron, genes are turned on and off, the anatomy is shaped and the functionality emerges. These three components influence each other continuously. The study of form, function and gene expression in neurons and brain is still challenging and has many issues yet to be explored. In this context, an important question yet to be answered is how to quantify the inter-relationship between form, function and gene expression. In this way, we developed activities involving characterization and comparison of the neuronal form, the study of dynamical processes occurring in networks of branching structures, and the comparison between gene expressions. The data of the public database NeuroMorpho, which comprise almost 6,000 segmented neurons, were characterized using statistical methods and were analyzed by the concept of McGhee\'s morphospace. Another public database that was explored was the Mouse Allen Brain Atlas, with images of gene expression of mouse brains. We proposed to use a method based on Voronoi diagrams to compare the spatial distribution of the gene expression densities between genes, in order to find correlations in the distribution. We also generated data on bean roots to study the influence of their branched structures in the dynamics of disease spread, following the SIR model (Susceptible-Infected-Recovered). Integrating the previous developments, we proposed a framework to measure the gene expression influence through the biological scale. This framework allows the measurement of the gene expression (molecular scale) influence in the morphology of the neurons (cellular scale), advancing towards the topological scale formed by the synaptic connections, and reaching the functional level of the dynamics over this network. In this context, it is worth to note that the gene expression influence is direct on the morphology and indirect on the topology and dynamics. The obtained information through the framework is important on the investigation of how the gene expression influences the whole process, since the individual neuron to the cerebral functioning. The proposed framework yields a systematic methodology with a toolbox to carry out these analyses.
Petrovici, Mihai Alexandru [Verfasser], and Karlheinz [Akademischer Betreuer] Meier. "Form vs. Function: Theory and Models for Neuronal Substrates / Mihai Alexandru Petrovici ; Betreuer: Karlheinz Meier." Heidelberg : Universitätsbibliothek Heidelberg, 2016. http://d-nb.info/1180615441/34.
Повний текст джерелаPetrovici, Mihai A. [Verfasser], and Karlheinz [Akademischer Betreuer] Meier. "Form vs. Function: Theory and Models for Neuronal Substrates / Mihai Alexandru Petrovici ; Betreuer: Karlheinz Meier." Heidelberg : Universitätsbibliothek Heidelberg, 2016. http://d-nb.info/1180615441/34.
Повний текст джерелаHansen, Thorsten [Verfasser]. "A neural model of early vision: contrast, contours, corners and surfaces : contributions toward an integrative architecture of form and brightness perception / Thorsten Hansen." Ulm : Universität Ulm. Fakultät für Informatik, 2003. http://d-nb.info/1015354785/34.
Повний текст джерелаLhuillier, Alice. "Identification de programmes d'activation macrophagique et microgliale dans les formes progressives de la sclérose en plaques." Phd thesis, Université Claude Bernard - Lyon I, 2014. http://tel.archives-ouvertes.fr/tel-01056829.
Повний текст джерела