Relevant bibliographies by topics / MLP

Academic literature on the topic 'MLP'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'MLP.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "MLP"

1

Bizzarri, C., R. Bertini, P. Bossu, S. Sozzani, A. Mantovani, J. Van Damme, A. Tagliabue, and D. Boraschi. "Single-cell analysis of macrophage chemotactic protein-1-regulated cytosolic Ca2+ increase in human adherent monocytes." Blood 86, no. 6 (September 15, 1995): 2388–94. http://dx.doi.org/10.1182/blood.v86.6.2388.bloodjournal8662388.

Full text
Abstract:
The increase in intracellular free Ca2+ ([Ca2+]i) associated with interaction of monocyte chemotactic protein-1 (MCP-1) and related chemokines beta with adherent human blood monocytes was investigated at the single-cell level. We used f-MLP as reference chemotactic agent. MCP-1 caused an increase in [Ca2+]i in individual adherent monocytes, with 95% of cells responding to the chemokine at 20 ng/mL. Response to MCP-1 was already detectable at 1 pg/mL, whereas at least 5 ng/mL were required for significant chemotactic response. The kinetics of the increase in [Ca2+]i were considerably different for MCP-1 compared with f-MLP. MCP-1 produced a slow increase of [Ca2+]i that reached a plateau in 5 to 7 minutes. On the other hand, the increase of [Ca2+]i induced by f-MLP appeared to be biphasic, with a fast phase peaking after 5 to 40 seconds followed by a slower wave. Blocking of Ca2+ channels by Ni2+ or Cd2+ and/or chelation of extracellular free Ca2+ considerably reduced but did not abolish response to MCP-1, had no effect on the first wave of [Ca2+]i induced by f-MLP, and completely abrogated the second, slower wave. Thapsigargin, which empties intracellular Ca2+ stores, inhibited f-MLP-induced [Ca2+]i increase but fully blocked the action of MCP-1 only when combined with Ni2+. Thus, increase of [Ca2+]i induced by MCP-1 is apparently due to independent opening of a channel and mobilization from intracellular stores, whereas f-MLP-induced mobilization of Ca2+ from stores causes subsequent opening of a channel. At variance with MCP-1, the related chemokine MCP-2 induced only a low increase of [Ca2+]i in about 40% of adherent monocytes. Inhibition of chemokine-induced increase of [Ca2+]i by cholera or pertussis toxin indicated that MCP-1 and MCP-2 activate monocytes through different intracellular pathways. These results demonstrate at the single-cell level that the mechanisms and dynamics of increased [Ca2+]i are considerably different for f-MLP and chemokines beta. In addition, the [Ca2+]i increase induced by the two related chemokines beta MCP-1 and MCP-2 appears to be differently regulated, suggesting interaction with distinct receptors.
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Yong, Guohua Geng, Pengbo Zhou, Qi Zhang, Zhan Li, and Ruihang Feng. "GC-MLP: Graph Convolution MLP for Point Cloud Analysis." Sensors 22, no. 23 (December 5, 2022): 9488. http://dx.doi.org/10.3390/s22239488.

Full text
Abstract:
With the objective of addressing the problem of the fixed convolutional kernel of a standard convolution neural network and the isotropy of features making 3D point cloud data ineffective in feature learning, this paper proposes a point cloud processing method based on graph convolution multilayer perceptron, named GC-MLP. Unlike traditional local aggregation operations, the algorithm generates an adaptive kernel through the dynamic learning features of points, so that it can dynamically adapt to the structure of the object, i.e., the algorithm first adaptively assigns different weights to adjacent points according to the different relationships between the different points captured. Furthermore, local information interaction is then performed with the convolutional layers through a weight-sharing multilayer perceptron. Experimental results show that, under different task benchmark datasets (including ModelNet40 dataset, ShapeNet Part dataset, S3DIS dataset), our proposed algorithm achieves state-of-the-art for both point cloud classification and segmentation tasks.
APA, Harvard, Vancouver, ISO, and other styles
3

He, Xin, and Yushi Chen. "Modifications of the Multi-Layer Perceptron for Hyperspectral Image Classification." Remote Sensing 13, no. 17 (September 6, 2021): 3547. http://dx.doi.org/10.3390/rs13173547.

Full text
Abstract:
Recently, many convolutional neural network (CNN)-based methods have been proposed to tackle the classification task of hyperspectral images (HSI). In fact, CNN has become the de-facto standard for HSI classification. It seems that the traditional neural networks such as multi-layer perceptron (MLP) are not competitive for HSI classification. However, in this study, we try to prove that the MLP can achieve good classification performance of HSI if it is properly designed and improved. The proposed Modified-MLP for HSI classification contains two special parts: spectral–spatial feature mapping and spectral–spatial information mixing. Specifically, for spectral–spatial feature mapping, each input sample of HSI is divided into a sequence of 3D patches with fixed length and then a linear layer is used to map the 3D patches to spectral–spatial features. For spectral–spatial information mixing, all the spectral–spatial features within a single sample are feed into the solely MLP architecture to model the spectral–spatial information across patches for following HSI classification. Furthermore, to obtain the abundant spectral–spatial information with different scales, Multiscale-MLP is proposed to aggregate neighboring patches with multiscale shapes for acquiring abundant spectral–spatial information. In addition, the Soft-MLP is proposed to further enhance the classification performance by applying soft split operation, which flexibly capture the global relations of patches at different positions in the input HSI sample. Finally, label smoothing is introduced to mitigate the overfitting problem in the Soft-MLP (Soft-MLP-L), which greatly improves the classification performance of MLP-based method. The proposed Modified-MLP, Multiscale-MLP, Soft-MLP, and Soft-MLP-L are tested on the three widely used hyperspectral datasets. The proposed Soft-MLP-L leads to the highest OA, which outperforms CNN by 5.76%, 2.55%, and 2.5% on the Salinas, Pavia, and Indian Pines datasets, respectively. The obtained results reveal that the proposed models provide competitive results compared to the state-of-the-art methods, which shows that the MLP-based methods are still competitive for HSI classification.
APA, Harvard, Vancouver, ISO, and other styles
4

Kılıç, Miraç, Recep Gündoğan, Hikmet Günal, and Bilal Cemek. "Accuracy Assessment of Kriging, artificial neural network, and a hybrid approach integrating spatial and terrain data in estimating and mapping of soil organic carbon." PLOS ONE 17, no. 5 (May 26, 2022): e0268658. http://dx.doi.org/10.1371/journal.pone.0268658.

Full text
Abstract:
This study aimed to produce a soil organic carbon (SOC) content map with high accuracy and spatial resolution using the most effective factors in the model. The spatial SOC estimation success of Inverse Distance Weighting (IDW), Ordinary Kriging (OK), Empirical Bayesian Kriging (EBK), Multi-Layered Perception Network (MLP) and MLP-OK Hybrid models were compared to obtain the most reliable model in estimating the SOC content. The study area was located in Besni district in the Southeastern Anatolia Region of Turkey. Total of 132 surface (0–30 cm) soil samples were collected from the covers 1330 km2 land and analyzed for SOC, lime, clay and sand content and soil reaction included in the estimation models. Mean annual precipitation and temperature, elevation, compound topographic index, enhanced vegetation and normalized difference vegetation index, were also used as the inputs in the modelling. The spatial distribution of SOC was determined using a MLP and a two-stage ensemble model (MLP-OK) combining the estimation of OK residuals. Soil surveys and covariates were used to train and validate the MLP-OK hybrid model. The MLP-OK model provided a more accurate estimation of SOC content with minimal estimation errors (ME: -0.028, 45 MAE: 0.042, RMSE: 0.066) for validation points compared to the other models. The MLP-OK model outperformed other models by 75.09 to 77.92%. The MLP-OK model estimated the lower and upper limits of the estimated and the measured values in a consistent manner compared to the other models. The spatial distribution map of SOC content obtained by ANN-kriging approach was significantly affected by ancillary variables, and revealed more detail than other interpolation methods in the northern, central, southwestern and southeastern parts of the study area. The results revealed that the assembling of MLP with OK model can contribute to obtain more reliable regional, national and global spatial soil information.
APA, Harvard, Vancouver, ISO, and other styles
5

Arreguín-González, Indira Judith, and Rosalva Cabrera-Castañón. "Memoria y atención en escolares que nacieron prematuros y/o con bajo peso en México." Archivos de Neurociencias 22, no. 3 (September 1, 2017): 30–39. http://dx.doi.org/10.31157/an.v22i3.158.

Full text
Abstract:
Introducción: en México no se encontraron investigaciones de escolares con prematurez y bajo peso al nacer (BPN) relacionados con déficits en memoria y atención Objetivo: determinar déficits existentes en memoria y atención, en escolares mexicanos, nacidos con BPN, MBPN y prematuros Material y Método: se realizó estudio neuropsicológico en población mexicana, aplicando la prueba ENI, a 31 escolares que nacieron prematuros y/o con bajo peso al nacimiento de entre 8-12 años de edad, en los rubros de memoria a corto plazo (MCP), memoria a largo plazo (MLP) verbal y visual respectivamente, así como en atención visual y auditiva. Resultados: los resultados fueron: MCP Verbal, con deficiencias 67.74% de la población estudiada; MCP visual, con deficiencias 61.29 %; MLP verbal, con deficiencias 74.2 %; MLP Visual, con deficiencias 80.64 %; atención visual, con deficiencia 83.87 %; Atención Auditiva, con deficiencia 35.49 %. Conclusiones: los niños con BPN, MBPN y prematuros, presentan, en un elevado porcentaje, deficiencias en atención auditiva y visual, así como en MCP y MLP Verbal y Visual, coincidiendo con varios estudios internacionales.
APA, Harvard, Vancouver, ISO, and other styles
6

Arreguín-González, Indira Judith, and Rosalva Cabrera-Castañón. "Memoria y atención en escolares que nacieron prematuros y/o con bajo peso en México." Archivos de Neurociencias 22, no. 3 (September 1, 2017): 30–39. http://dx.doi.org/10.31157/archneurosciencesmex.v22i3.158.

Full text
Abstract:
Introducción: en México no se encontraron investigaciones de escolares con prematurez y bajo peso al nacer (BPN) relacionados con déficits en memoria y atención Objetivo: determinar déficits existentes en memoria y atención, en escolares mexicanos, nacidos con BPN, MBPN y prematuros Material y Método: se realizó estudio neuropsicológico en población mexicana, aplicando la prueba ENI, a 31 escolares que nacieron prematuros y/o con bajo peso al nacimiento de entre 8-12 años de edad, en los rubros de memoria a corto plazo (MCP), memoria a largo plazo (MLP) verbal y visual respectivamente, así como en atención visual y auditiva. Resultados: los resultados fueron: MCP Verbal, con deficiencias 67.74% de la población estudiada; MCP visual, con deficiencias 61.29 %; MLP verbal, con deficiencias 74.2 %; MLP Visual, con deficiencias 80.64 %; atención visual, con deficiencia 83.87 %; Atención Auditiva, con deficiencia 35.49 %. Conclusiones: los niños con BPN, MBPN y prematuros, presentan, en un elevado porcentaje, deficiencias en atención auditiva y visual, así como en MCP y MLP Verbal y Visual, coincidiendo con varios estudios internacionales.
APA, Harvard, Vancouver, ISO, and other styles
7

Labib, Richard, and Karim Khattar. "MLP bilinear separation." Neural Computing and Applications 19, no. 2 (October 22, 2009): 305–15. http://dx.doi.org/10.1007/s00521-009-0309-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Li, Deying, Faming Huang, Liangxuan Yan, Zhongshan Cao, Jiawu Chen, and Zhou Ye. "Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models." Applied Sciences 9, no. 18 (September 4, 2019): 3664. http://dx.doi.org/10.3390/app9183664.

Full text
Abstract:
Landslides are one type of serious geological hazard which cause immense losses of local life and property. Landslide susceptibility prediction (LSP) can be used to determine the spatial probability of landslide occurrence in a certain area. It is important to implement LSP for landslide hazard prevention and reduction. This study developed a particle-swarm-optimized multilayer perceptron (PSO-MLP) model for LSP implementation to overcome the drawbacks of the conventional gradient descent algorithm and to determine the optimal structural parameters of MLP. Shicheng County in Jiangxi Province of China was used as the study area. In total, 369 landslides, randomly selected non-landslides, and 14 landslide-related predisposing factors were used to train and test the present PSO-MLP model and three other comparative models (an MLP-only model with the gradient descent algorithm, a back-propagation neural network (BPNN), and an information value (IV) model). The results showed that the PSO-MLP model had the most accurate prediction performance (area under the receiver operating characteristic curve (AUC) of 0.822 and frequency ratio (FR) accuracy of 0.856) compared with the MLP-only (0.791 and 0.829), BPNN (0.800 and 0.840), and IV (0.788 and 0.824) models. It can be concluded that the proposed PSO-MLP model addresses the drawbacks of the MLP-only model well and performs better than conventional artificial neural networks (ANNs) and statistical models. The spatial probability distribution law of landslide occurrence in Shicheng County was well revealed by the landslide susceptibility map produced using the PSO-MLP model. Furthermore, the present PSO-MLP model may have higher prediction and classification performances in some other fields compared with conventional ANNs and statistical models.
APA, Harvard, Vancouver, ISO, and other styles
9

Ren, Guoyin, Xiaoqi Lu, Jingyu Wang, and Yuhao Li. "Enhancement of Local Crowd Location and Count: Multiscale Counting Guided by Head RGB-Mask." Computational Intelligence and Neuroscience 2022 (August 24, 2022): 1–19. http://dx.doi.org/10.1155/2022/5708807.

Full text
Abstract:
Background. In crowded crowd images, traditional detection models often have the problems of inaccurate multiscale target count and low recall rate. Methods. In order to solve the above two problems, this paper proposes an MLP-CNN model, which combined with FPN feature pyramid can fuse the feature map of low-resolution and high-resolution semantic information with less computation and can effectively solve the problem of inaccurate head count of multiscale people. MLP-CNN “mid-term” fusion model can effectively fuse the features of RGB head image and RGB-Mask image. With the help of head RGB-Mask annotation and adaptive Gaussian kernel regression, the enhanced density map can be generated, which can effectively solve the problem of low recall of head detection. Results. MLP-CNN model was applied in ShanghaiTech and UCF_ CC_ 50 and UCF-QNRF. The test results show that the error of the method proposed in this paper has been significantly improved, and the recall rate can reach 79.91%. Conclusion. MLP-CNN model not only improves the accuracy of population counting in density map regression, but also improves the detection rate of multiscale population head targets.
APA, Harvard, Vancouver, ISO, and other styles
10

Colak, Medine, Mehmet Yesilbudak, and Ramazan Bayindir. "Daily Photovoltaic Power Prediction Enhanced by Hybrid GWO-MLP, ALO-MLP and WOA-MLP Models Using Meteorological Information." Energies 13, no. 4 (February 18, 2020): 901. http://dx.doi.org/10.3390/en13040901.

Full text
Abstract:
Solar energy is a safe, clean, environmentally-friendly and renewable energy source without any carbon emissions to the atmosphere. Therefore, there are many studies in the field of solar energy in order to obtain the maximum solar radiation during the day time, to estimate the amount of solar energy to be produced, and to increase the efficiency of solar energy systems. In this study, it was aimed to predict the daily photovoltaic power production using air temperature, relative humidity, total horizontal solar radiation and diffuse horizontal solar radiation parameters as multi-tupled inputs. For this purpose, grey wolf, ant lion and whale optimization algorithms were integrated to the multilayer perceptron. In addition, the effects of sigmoid, sinus and hyperbolic tangent activation functions on the prediction performance were analyzed in detail. As a result of overall accuracy indictors achieved, the grey wolf optimization algorithm-based multilayer perceptron model was found to be more successful and competitive for the daily photovoltaic power prediction. Furthermore, many meaningful patterns were revealed about the constructed models, input tuples and activation functions.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "MLP"

1

Zhang, Jiaqi. "Accelerating and Predicting Map Projections with CUDA and MLP." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523394255002174.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

SANTOS, RAFAEL DE OLIVAES V. DOS. "COMBINING MLP NEURAL NETS FOR CLASSIFICATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2001. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=1890@1.

Full text
Abstract:
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Esta dissertação investigou a criação de comitês de classificadores baseados em Redes Neurais Multilayer Perceptron (Redes MLP, abreviadamente). Isso foi feito em dois passos: primeiro, aplicando-se procedimentos para criação de redes complementares, i.e, redes individualmente eficazes mas que cometem erros distintos; segundo, testando- se sobre essas redes alguns dos principais métodos de combinação disponíveis. Dentre os procedimentos para criação de redes complementares, foi dado enfoque para os baseados em alteração do conjunto de treinamento. Os métodos Bootstrap e Arc-x4 foram escolhidos para serem utilizados no estudo de casos, juntamente com o método RDP (Replicação Dirigida de Padrões). No que diz respeito aos métodos de combinação disponíveis, foi dada particular atenção ao método de combinação por integrais nebulosas. Além deste método, implementou-se combinação por média, votação por pluralidade e Borda count. As aplicações escolhidas para teste envolveram duas vertentes importantes na área de visão computacional - Classificação de Coberturas de Solo por Imagens de Satélite e Reconhecimento de Expressões Faciais. Embora ambas pertençam à mesma área de conhecimento, foram escolhidas de modo a representar níveis de dificuldade diferentes como tarefas de classificação - enquanto a primeira contou com um grande número de padrões disponíveis, a segunda foi comparativamente limitada nesse sentido. Como resultado final, comprovou-se a viabilidade da utilização de comitês em problemas de classificação, mesmo com as possíveis variações de desempenho relacionadas com a complexidade desses problemas. O método de combinação baseado em integrais nebulosas mostrou-se particularmente eficiente quando associado ao procedimento RDP para formação das redes comissionadas, mas nem sempre foi satisfatório. Considerado individualmente, o RDP tem a limitação de criar, no máximo, tantas redes quanto forem as classes consideradas em um problema; porém, quando este número de redes foi considerado como base de comparação, o RDP se mostrou, na média de todos os métodos de combinação testados, mais eficaz que os procedimentos Bootstrap e Arc-x4. Por outro lado, tanto o Bootstrap quanto o Arc-x4 têm a importante vantagem de permitirem a formação de um número crescente de membros, o que quase sempre acarretou em melhorias de desempenho global em relação ao RDP.
The present dissertation investigated the creation of classifier committees based on Multilayer Perceptron Neural Networks (MLP Networks, for short). This was done in two parts: first, by applying procedures for creating complementary networks, i.e., networks that are individually accurate but cause distinct misclassifications; second, by assessing different combining methods to these network`s outputs. Among the procedures for creating committees members, the main focus was set to the ones based on changes to the training set . Bootstrap and Arc-x4 were chosen to be used at the experiments, along with the RDP procedure (translated as Driven Pattern Replication). With respect to the available combining methods, special attention was paid to fuzzy integrals combination. Average combination, plurality voting and Borda count were also implemented. The chosen experimental applications included interesting branches from computer vision: Land Cover Classification from Satellite Images and Facial Expression Recognition. These applications were specially interesting, in the sense they represent two different levels of difficulty as classification tasks - while the first had a great number of available patterns, the second was comparatively limited in this way. This work proved the viability of using committees in classification problems, despite the small performance fluctuations related to these problems complexity. The fuzzy integrals method has shown to be particularly interesting when coupled with the RDP procedure for committee creation, but was not always satisfactory. Taken alone, the RDP has the limitation of creating, at most, as many networks as there are classes to be considered at the problem at hand; however, when this number of networks was considered as the basis for comparison, this procedure outperformed, taking into account average combining results, both Bootstrap and Arc- x4. On the other hand, these later procedures have the important advantage of allowing the creation of an increasing number of committee members, what almost always increased global performance in comparison to RDP.
Esta disertación investigó la creación de comités de clasificadores basados en Redes Neurales Multilayer Perceptron (Redes MLP, abreviadamente). Esto fue ejecutado en dos pasos: primeiro, aplicando procedimentos para la creación de redes complementares, esto es, redes que individualmente son eficaces pero que cometen erros diferentes; segundo, probando sobre esas redes, algunos de los principales métodos de combinación disponibles. Dentro de los procedimentos para la creación de redes complementares, se eligieron los basados en alteración del conjunto de entrenamiento. Los métodos Bootstrap y Arc-x4 fueron seleccionados para utilizarlos em el estudio de casos, conjuntamente con el método RDP (Replicación Dirigida de Padrones). Con respecto a los métodos de combinación disponibles, se le dió particular atención al método de combinación por integrales nebulosas. Además de este método, se implementaron: combinación por media, votación por pluralidad y Borda cont. Las aplicaciones seleccionadas para pruebas consideran dos vertientes importantes en la área de visión computacional - Clasificación de Coberturas de Suelo por Imágenes de Shastalite y Reconocimiento de Expresiones Faciales. Aunque ambas pertencen a la misma área de conocimento, fueron seleccionadas de modo con diferentes níveles de dificuldad como tareas de clasificación - Mientras la primera contó con un gran número de padrones disponibles, la segunda fue comparativamente limitada em ese sentido. Como resultado final, se comprobó la viabilidad de la utilización de comités en problemas de clasificación, incluso con las posibles variaciones de desempeño relacionadas con la complejidad de esos problemas. El método de combinación basado en integrales nebulosas se mostró particularmente eficiente asociado al procedimiento RDP para formación de las redes comisionadas, pero no siempre fue satisfactorio. Considerado individualmente, el RDP tiene la limitación de crear, como máximo, tantas redes como clases consideradas en un problema; sin embargo, cuando el número de redes fue considerado como base de comparación, el RDP se mostró más eficaz, en la media de todos los métodos de combinación, que los procedimentos Bootstrap y Arc-x4. Por otro lado, tanto el Bootstrap como el Arc-x4 tiene la importante ventaja de permitir la formación de un número cresciente de miembros, lo que generalmente mejora el desempeño global en relación al RDP.
APA, Harvard, Vancouver, ISO, and other styles
3

Freitas, Luciana Paro Scarin [UNESP]. "Discriminação entre pacientes normais e hemiplégicos utilizando plataforma de força e redes neurais." Universidade Estadual Paulista (UNESP), 2011. http://hdl.handle.net/11449/87051.

Full text
Abstract:
Made available in DSpace on 2014-06-11T19:22:31Z (GMT). No. of bitstreams: 0 Previous issue date: 2011-12-02Bitstream added on 2014-06-13T19:48:52Z : No. of bitstreams: 1 freitas_lps_me_ilha.pdf: 463364 bytes, checksum: 35c3a3450e5ec638595c65e3a7508c09 (MD5)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Neste trabalho descreve-se o desenvolvimento de duas redes neurais que identificam e classificam dados da distribuição do peso corporal na região plantar de pessoas normais e hemiplégicas. Esses dados são experimentais e foram obtidos através da utilização de uma plataforma de força contendo 48 sensores. As arquiteturas utilizadas para esta aplicação foram as redes neurais MLP (Multilayer Perceptron) com o algoritmo retropropagação (backpropagation), e ARTMAP Nebulosa. A escolha de tais arquiteturas se deve ao treinamento (supervisionado) o qual associa de forma direta a distribuição de força plantar com os respectivos pacientes (normais e hemiplégicos). Ambas as arquiteturas, MLP e ARTMAP Nebulosa, conseguiram fazer a discriminação entre quase todas as pessoas normais e hemiplégicos. A rede neural ARTMAP Nebulosa possui a vantagem de efetuar a classificação de forma rápida e eficiente. Esta aplicação é importante nas áreas de Podologia, Posturologia e Podoposturologia, pois propicia ao profissional de saúde uma nova metodologia de diagnóstico
This work describes the development of two neural networks that identify and classify data distribution of plantar body weight of normal or hemiplegic individuals. The architectures used for this application were, respectively, MLP neural networks (Multilayer Perceptron) with backpropagation algorithm, and Fuzzy ARTMAP. The choice of such architectures was due to the training (supervised training) which directly associates the distribution of plantar force with the patients (normal or hemiplegic). The input data used for training and diagnosis of the neural networks were obtained from a force plate, with 48 sensors, containing measurements of the weight distribution on the plantar region (right and left) of normal or hemiplegic patients. Both architectures, MLP and Fuzzy ARTMAP, were able to discriminate almost all normal and hemiplegic patients. The Fuzzy ARTMAP neural network was more efficient than MLP neural network in the classification of the patients. This application is important in areas of Podiatry, Posturology and Podoposturology because it can help the health care professionals
APA, Harvard, Vancouver, ISO, and other styles
4

Freitas, Luciana Paro Scarin. "Discriminação entre pacientes normais e hemiplégicos utilizando plataforma de força e redes neurais /." Ilha Solteira : [s.n.], 2011. http://hdl.handle.net/11449/87051.

Full text
Abstract:
Orientador: Marcelo Carvalho Minhoto Teixeira
Banca: Aparecido Augusto de Carvalho
Banca: Márcio Roberto Covacic
Resumo: Neste trabalho descreve-se o desenvolvimento de duas redes neurais que identificam e classificam dados da distribuição do peso corporal na região plantar de pessoas normais e hemiplégicas. Esses dados são experimentais e foram obtidos através da utilização de uma plataforma de força contendo 48 sensores. As arquiteturas utilizadas para esta aplicação foram as redes neurais MLP (Multilayer Perceptron) com o algoritmo retropropagação (backpropagation), e ARTMAP Nebulosa. A escolha de tais arquiteturas se deve ao treinamento (supervisionado) o qual associa de forma direta a distribuição de força plantar com os respectivos pacientes (normais e hemiplégicos). Ambas as arquiteturas, MLP e ARTMAP Nebulosa, conseguiram fazer a discriminação entre quase todas as pessoas normais e hemiplégicos. A rede neural ARTMAP Nebulosa possui a vantagem de efetuar a classificação de forma rápida e eficiente. Esta aplicação é importante nas áreas de Podologia, Posturologia e Podoposturologia, pois propicia ao profissional de saúde uma nova metodologia de diagnóstico
Abstract: This work describes the development of two neural networks that identify and classify data distribution of plantar body weight of normal or hemiplegic individuals. The architectures used for this application were, respectively, MLP neural networks (Multilayer Perceptron) with backpropagation algorithm, and Fuzzy ARTMAP. The choice of such architectures was due to the training (supervised training) which directly associates the distribution of plantar force with the patients (normal or hemiplegic). The input data used for training and diagnosis of the neural networks were obtained from a force plate, with 48 sensors, containing measurements of the weight distribution on the plantar region (right and left) of normal or hemiplegic patients. Both architectures, MLP and Fuzzy ARTMAP, were able to discriminate almost all normal and hemiplegic patients. The Fuzzy ARTMAP neural network was more efficient than MLP neural network in the classification of the patients. This application is important in areas of Podiatry, Posturology and Podoposturology because it can help the health care professionals
Mestre
APA, Harvard, Vancouver, ISO, and other styles
5

Gaspar, Thiago Lombardi. "Reconhecimento de faces humanas usando redes neurais MLP." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-27042006-231620/.

Full text
Abstract:
O objetivo deste trabalho foi desenvolver um algoritmo baseado em redes neurais para o reconhecimento facial. O algoritmo contém dois módulos principais, um módulo para a extração de características e um módulo para o reconhecimento facial, sendo aplicado sobre imagens digitais nas quais a face foi previamente detectada. O método utilizado para a extração de características baseia-se na aplicação de assinaturas horizontais e verticais para localizar os componentes faciais (olhos e nariz) e definir a posição desses componentes. Como entrada foram utilizadas imagens faciais de três bancos distintos: PICS, ESSEX e AT&T. Para esse módulo, a média de acerto foi de 86.6%, para os três bancos de dados. No módulo de reconhecimento foi utilizada a arquitetura perceptron multicamadas (MLP), e para o treinamento dessa rede foi utilizado o algoritmo de aprendizagem backpropagation. As características faciais extraídas foram aplicadas nas entradas dessa rede neural, que realizou o reconhecimento da face. A rede conseguiu reconhecer 97% das imagens que foram identificadas como pertencendo ao banco de dados utilizado. Apesar dos resultados satisfatórios obtidos, constatou-se que essa rede não consegue separar adequadamente características faciais com valores muito próximos, e portanto, não é a rede mais eficiente para o reconhecimento facial
This research presents a facial recognition algorithm based in neural networks. The algorithm contains two main modules: one for feature extraction and another for face recognition. It was applied in digital images from three database, PICS, ESSEX and AT&T, where the face was previously detected. The method for feature extraction was based on previously knowledge of the facial components location (eyes and nose) and on the application of the horizontal and vertical signature for the identification of these components. The mean result obtained for this module was 86.6% for the three database. For the recognition module it was used the multilayer perceptron architecture (MLP), and for training this network it was used the backpropagation algorithm. The extracted facial features were applied to the input of the neural network, that identified the face as belonging or not to the database with 97% of hit ratio. Despite the good results obtained it was verified that the MLP could not distinguish facial features with very close values. Therefore the MLP is not the most efficient network for this task
APA, Harvard, Vancouver, ISO, and other styles
6

Steinholtz, Tim. "Skip connection in a MLP network for Parkinson’s classification." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303130.

Full text
Abstract:
In this thesis, two different architecture designs of a Multi-Layer Perceptron network have been implemented. One architecture being an ordinary MLP, and in the other adding DenseNet inspired skip connections to an MLP architecture. The models were used and evaluated on the classification task, where the goal was to classify if subjects were diagnosed with Parkinson’s disease or not based on vocal features. The models were trained on an openly available dataset for Parkinson’s classification and evaluated on a hold-out set from this dataset and on two datasets recorded in another sound recording environment than the training data. The thesis searched for the answer to two questions; How insensitive models for Parkinson’s classification are to the sound recording environment and how the proposed skip connections in an MLP model could help improve performance and generalization capacity. The thesis results show that the sound environment affects the accuracy. Nevertheless, it concludes that one would be able to overcome this with more time and allow for good accuracy when models are exposed to data from a new sound environment than the training data. As for the question, if the skip connections improve accuracy and generalization, the thesis cannot draw any broad conclusions due to the data that were used. The models had, in general, the best performance with shallow networks, and it is with deeper networks that the skip connections are argued to help improve these attributes. However, when evaluating on the data from a different sound recording environment than the training data, the skip connections had the best performance in two out of three tests.
I denna avhandling har två olika arkitektur designer för ett artificiellt flerskikts neuralt nätverk implementerats. En arkitektur som följer konventionen för ett vanlig MLP nätverk, samt en ny arkitektur som introducerar DenseNet inspirerade genvägs kopplingar i MLP nätverk. Modellerna användes och utvärderades för klassificering, vars mål var att urskilja försökspersoner som friska eller diagnostiserade med Parkinsons sjukdom baserat på röst attribut. Modellerna tränades på ett öppet tillgänglig dataset för Parkinsons klassificering och utvärderades på en delmängd av denna data som inte hade använts för träningen, samt två dataset som kommer från en annan ljudinspelnings miljö än datan för träningen. Avhandlingen sökte efter svaret på två frågor; Hur okänsliga modeller för Parkinsons klassificering är för ljudinspelnings miljön och hur de föreslagna genvägs kopplingarna i en MLP-modell kan bidra till att förbättra prestanda och generalisering kapacitet. Resultaten av avhandlingen visar att ljudmiljön påverkar noggrannheten, men drar slutsatsen att med mer tid skulle man troligen kunna övervinna detta och möjliggöra god noggrannhet i nya ljudmiljöer. När det kommer till om genvägs kopplingarna förbättrar noggrannhet och generalisering, är avhandlingen inte i stånd att dra några breda slutsatser på grund av den data som användes. Modellerna hade generellt bästa prestanda med grunda nätverk, och det är i djupare nätverk som genvägs kopplingarna argumenteras för att förbättra dessa egenskaper. Med det sagt, om man bara kollade på resultaten på datan som är ifrån en annan ljudinspelnings miljö så hade genvägs arkitekturen bättre resultat i två av de tre testerna som utfördes.
APA, Harvard, Vancouver, ISO, and other styles
7

Fernando, Thudugala Mudalige K. G. "Hydrological applications of MLP neural networks with back-propagation." Thesis, Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25085517.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wang, Fang Carleton University Dissertation Engineering Electronics. "A sparse optimization approach to MLP training and its applications." Ottawa, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Arnsbjer, Felicia, and Clara Fors. "Bio-CCS metoden i Sverige : kvalitativ innehållsanalys av samhällsaktörer." Thesis, Linköpings universitet, Tema Miljöförändring, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175745.

Full text
Abstract:
Denna studie syftar till att undersöka berörda samhällsaktörers inställning till att uppnå klimatneutralitet inom Sverige med bio-CCS som åtgärd. En kvalitativ innehållsanalys av remisser från klimatpolitiska vägvalsutredningens betänkande Vägen till en klimatpositiv framtid genomfördes med ett multi-level perspective för att studera dessa aktörers ståndpunkt. Aktörernas synpunkter identifieras och analyseras för att därefter ställas mot tidigare forskning. Resultatet av studien visar att det finns delade uppfattningar hos aktörerna angående bio-CCS och vad som behövs för att främja tekniken. De största hindren till att implementera bio-CCS som åtgärd anses vara ekonomiska och politiska aspekter, men att det även finns andra faktorer som har en betydande roll för att bio-CCS ska kunna ha ett inflytande till att Sverige ska uppnå klimatneutralitet till 2045.
This study aims to investigate the approach of relevant actors to achieving climate neutrality within Sweden with bio-CCS as a measure. A qualitative content analysis of referrals from the climate policy inquiry report Vägen till en klimatpositiv framtid carried out with a multi-level perspective theory to study the position of these actors. The actors' views are identified and analyzed and compared to previous research. The results show that there are divided opinions among actors regarding bio-CCS and what is needed to promote the technology. The main obstacles to implementing bio-CCS as a measure are considered to be economic and political aspects, other factors also have a significant role in influencing Sweden to achieve climate neutrality by 2045.
APA, Harvard, Vancouver, ISO, and other styles
10

LEITE, VANESSA RODRIGUES COELHO. "AN ANALYSIS OF LITHOLOGY CLASSIFICATION USING SVM, MLP AND ENSEMBLE METHODS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21205@1.

Full text
Abstract:
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
A classificação de litologias e uma tarefa importante na caracterização de reservatorios de petróleo. Um de seus principais objetivos e dar suporte ao planejamento e as atividades de perfuracao de poços. Dessa forma, quanto mais rapidos e eficazes sejam os algoritmos de classificacao, mais confiavel ser a as decisoes tomadas pelos geologos e geofısicos. Esta dissertação analisa os metodos ensemble aplicados a classificacao automática de litologias. Para isso, foi realizada uma comparação entre classificadores individuais (Support Vector Machine e Multilayer Perceptron) e estes mesmos classificadores com métodos Ensemble (Bagging e Adaboost). Assim, concluımos com uma avaliação comparativa entre as técnicas, bem como apresentamos o trade-off em utilizar métodos Ensemble em substituição aos classificadores individuais.
Lithology classification is an important task in oil reservoir characterization, one of its major purposes is to support well planning and drilling activities. Therefore, faster and more effective classification algorithms will increase the speed and reliability of decisions made by geologists and geophysicists. This work analises ensemble methods applied to automatic lithology classification. For this, we performed a comparison between single classifiers (Support Vector Machine and Multilayer Perceptron) and these classifiers with ensemble methods (Bagging and Boost). Thus, we conclude with a comparative evaluation of techniques and present the trade-off in using Ensemble methods to replace single classifiers.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "MLP"

1

Ross, G. J. S. MLP: Maximum likelihood program. Oxford: Numerical Algorithms Group Limited, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

F, Murray Alan, ed. Analogue imprecision in MLP training. Singapore: World Scientific, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Schiavone, Michael J. X'fissret l-ghaqda tal-GWU mal-MLP ghall-haddiem. Pieta, Malta: PIN, Pubblikazzjonijiet Independenza, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Faber, Manfred, Thomas Middelmann, Detlef Pohl, Elke Pohl, Gerald Drews, Lutz Hoffmann, Sonja Klug, and Dorothee Köhler. Gabler/MLP Berufs- und Karriere-Planer 1999/2000: Technik. Wiesbaden: Gabler Verlag, 1999. http://dx.doi.org/10.1007/978-3-322-96505-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Hamm, Margaretha, Lutz Hoffmann, Sonja Ulrike Klug, Dorothee Köhler, and Susanne Löffelholz. Gabler / MLP Berufs- und Karriere-Planer Wirtschaft 2005/2006. Wiesbaden: Gabler Verlag, 2005. http://dx.doi.org/10.1007/978-3-663-07817-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Drews, Gerald, Manfred Faber, Lutz Hoffmann, Sonja Klug, Dorothee Köhler, Thomas Middelmann, Detlef Pohl, and Elke Pohl. Gabler / MLP Berufs- und Karriere-Planer 2000/2001: Technik. Wiesbaden: Gabler Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-96562-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Drews, Gerald, Manfred Faber, Lutz Hoffmann, Sonja Klug, Dorothee Köhler, Thomas Middelmann, Detlef Pohl, and Elke Pohl. Gabler / MLP Berufs- und Karriere-Planer 2001/2002: Technik. Wiesbaden: Gabler Verlag, 2001. http://dx.doi.org/10.1007/978-3-322-96596-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hamm, Margaretha, Lutz Hoffmann, Sonja Ulrike Klug, Dorothee Köhler, and Susanne Löffelholz. Gabler /MLP Berufs- und Karriere-Planer Wirtschaft 2006/2007. Wiesbaden: Gabler, 2006. http://dx.doi.org/10.1007/978-3-8349-9003-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Hoffmann, Lutz, Sonja Klug, and Dorothee Köhler. Gabler / MLP Berufs- und Karriere-Planer 2002/2003: Wirtschaft. Wiesbaden: Gabler Verlag, 2002. http://dx.doi.org/10.1007/978-3-322-94821-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hoffmann, Lutz, Sonja Klug, and Dorothee Köhler. Gabler/MLP Berufs- und Karriere-Planer 2000/2001: Wirtschaft. Wiesbaden: Gabler Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-94829-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "MLP"

1

Taud, H., and J. F. Mas. "Multilayer Perceptron (MLP)." In Geomatic Approaches for Modeling Land Change Scenarios, 451–55. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60801-3_27.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kugelmeier, Christian. "Strategische Personalrekrutierung bei MLP." In Handbuch Strategisches Personalmanagement, 83–99. Wiesbaden: Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6549-3_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Helling-Moegen, Sabine. "Strategische Führungskräfteentwicklung bei MLP." In Handbuch Strategisches Personalmanagement, 283–97. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-00431-6_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Walde, Janette F. "Das Mehrschichtige Perzeptron (MLP)." In Design Künstlicher Neuronaler Netze, 9–31. Wiesbaden: Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81211-7_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Bisong, Ekaba. "The Multilayer Perceptron (MLP)." In Building Machine Learning and Deep Learning Models on Google Cloud Platform, 401–5. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4470-8_31.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Bourlard, Hervé A., and Nelson Morgan. "Feature Extraction by MLP." In Connectionist Speech Recognition, 253–63. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-3210-1_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Stockmann, Carsten. "Die IT-Strukturen bei MLP." In Handbuch Informationstechnologie in Banken, 321–36. Wiesbaden: Gabler Verlag, 2004. http://dx.doi.org/10.1007/978-3-322-91154-4_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Manaswi, Navin Kumar. "Regression to MLP in TensorFlow." In Deep Learning with Applications Using Python, 57–68. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3516-4_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Manaswi, Navin Kumar. "Regression to MLP in Keras." In Deep Learning with Applications Using Python, 69–89. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3516-4_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Regueiro, C. V., S. Barro, and A. Yáñez. "Limitation of connectionism in MLP." In New Trends in Neural Computation, 441–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56798-4_185.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "MLP"

1

Guo, Jianyuan, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, and Yunhe Wang. "Hire-MLP: Vision MLP via Hierarchical Rearrangement." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00090.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Luo, Yandong, Xiaochen Peng, and Shimeng Yu. "MLP+NeuroSimV3.0." In ICONS '19: International Conference on Neuromorphic Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3354265.3354266.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Xiong, Songkai, Zhaowei Qu, Yiran Wang, Xiaoru Wang, and Han Xia. "MLP-Pose: Human Pose Estimation by MLP-Mixer." In 2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS). IEEE, 2021. http://dx.doi.org/10.1109/ccis53392.2021.9754658.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wang, Wenbo, Jian Guan, Xinyi Che, and Wenwu Wang. "MS-MLP: Multi-scale Sampling MLP for ECG Classification." In 2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022. http://dx.doi.org/10.23919/eusipco55093.2022.9909814.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ye, Shuiqiang, Pengcheng Zeng, Pengfei Li, Weiqi Wang, Wang Xinan, and Yong Zhao. "MLP-Stereo: Heterogeneous Feature Fusion in MLP for Stereo Matching." In 2022 IEEE International Conference on Image Processing (ICIP). IEEE, 2022. http://dx.doi.org/10.1109/icip46576.2022.9897348.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Qiu, Zhaofan, Ting Yao, Chong-Wah Ngo, and Tao Mei. "MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00307.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yu, Tan, Xu Li, Yunfeng Cai, Mingming Sun, and Ping Li. "S2-MLP: Spatial-Shift MLP Architecture for Vision." In 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2022. http://dx.doi.org/10.1109/wacv51458.2022.00367.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Rathbun, Thomas F., Steven K. Rogers, Martin P. DeSimio, and Mark E. Oxley. "MLP iterative construction algorithm." In AeroSense '97, edited by Steven K. Rogers. SPIE, 1997. http://dx.doi.org/10.1117/12.271467.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kim, Kang-Min, Gyu-Jin Kim, Gyu-Jin Jang, Young-Nam Kim, and Moon-Hyun Kim. "MLP based Pedestrian Counting." In IMCOM '16: The 10th International Conference on Ubiquitous Information Management and Communication. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2857546.2857626.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Sun, Shipeng, Shiyong Lan, Weikang Huang, and Piaoyang Li. "SiamL-MLP: Siamese-like Network for Object Tracking Based on MLP-Mixer." In 2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD). IEEE, 2022. http://dx.doi.org/10.1109/icaibd55127.2022.9820558.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "MLP"

1

Luc, Brunet. Systematic Equations Handbook : Book 1-Energy. R&D Médiation, May 2015. http://dx.doi.org/10.17601/rd_mediation2015:1.

Full text
Abstract:
The energy equation handbook is the complete collection of physically coherent expression of energy computed using from 2 to 7 physical units among: density(ML-3) energy (ML2T-2) time (T) force (MLT-2) power (ML2T-3) current (I) temperature (Th) quantity (N) mass (M) length (L) candela (J) surface (L2) volume (L3) concentration (ML-3) frequency (T-1) acceleration (LT- 2) speed (LT-1) pressure (ML-1T-2) viscosity (ML-1T-1) luminance (L- 2J) MolarMass (MN-1) MassicEnergy (L2T-2) resistance (ML2T-3I-2) voltage (ML2T-3I-1) Farad (M-1L-2T4I2) Thermal- Conductivity (MLT-3Th-1) SpecificHeat (L2T-2Th-1) MassFlux (MT-1) SurfaceTension (MT-2) Charge (TI) Resistivity (ML3T-3I-2) The complete list of 4196 equations is sorted by number of variable required to obtain an energy in Joules. All the units are in MKSA.
APA, Harvard, Vancouver, ISO, and other styles
2

Salavisa, Isabel, Mark Soares, and Sofia Bizarro. A Critical Assessment of Organic Agriculture in Portugal: A reflection on the agro-food system transition. DINÂMIA'CET-Iscte, 2021. http://dx.doi.org/10.15847/dinamiacet-iul.wp.2021.05.

Full text
Abstract:
Over the last few decades, the organic agriculture sector has experienced sustained growth. Globally, as well as in the European Union and Portugal, organic production accounts for just under 10% of total Utilised Agricultural Area (UAA) (FiBL, 2019; Eurostat, 2019; DGADR, 2019; INE, 2019; GPP, 2019). This growth has been seen in terms of production, number of producers, amount of retail sales, imports and exports. This article attempts to build on the multi-level perspective (MLP) of the socio-technical (ST) transitions theory by employing a whole systems analysis (Geels, 2018) of organic agriculture in Portugal, which defends an integrated vision of the systems, where multiple interactions occur within and among the niche, the regime and the landscape levels. This approach has been employed in order to develop a critical analysis of the current state of the Portuguese organic agriculture sector, stressing the multiplicity of elements that are contributing to the agro-food system´s transformation into a more sustainable one. In fact, the agro-food system is related with climate change but also has connections with other domains such as public health, water management, land use and biodiversity. Therefore, it is affected by shifts in these areas. This analysis considers developments in increasing domestic organic production, number of producers, amount of retail sales, imports, exports, market innovations, and the sector´s reconfiguration. The organic sector´s increase has been attributed to European regulation, institutionalization, standardization, farmer certification, external (government) subsidy support programs, incremental market improvements (visibility and product access), the emergence of new retailers, the rise of supporting consumers and a shift away from conventional agriculture (Truninger, 2010; DGADR, 2019; Pe´er et al, 2019). However, together with positive incentives, this sector also faces numerous barriers that are hindering a faster transformation. Difficulties for the sector to date have included: product placement; a disconnect between production, distribution and marketing systems; high transport costs; competition from imports; European subsidies focused on extensive crops (pastures, olive groves, and arable crops), entailing a substantial growth in the area of pasture to the detriment of other crops; the fact that the products that are in demand (fresh vegetables and fruit) are being neglected by Portuguese producers; expensive certification procedures; lack of adequate support and market expertise for national producers; the hybrid configuration of the sector; and price. Organic agriculture as a niche-innovation is still not greatly contributing to overall agricultural production. The low supply of organic products, despite its ever-increasing demand, suggests that a transition to increased organic production requires a deeper and faster food system reconfiguration, where an array of distinct policies are mobilized and a diversity of actions take place at different levels (Geels, 2018; Pe´er et al, 2019). This paper will attempt to contribute an overall critical assessment of the organic sector´s features and evolution and will identify some of the main obstacles to be overcome, in order to boost the sustainability transition of the agro-food system in Portugal.
APA, Harvard, Vancouver, ISO, and other styles
3

Cook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree, and Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45644.

Full text
Abstract:
ERDC-Geo is a surface erodibility parameterization developed to improve dust predictions in weather forecasting models. Geomorphic landform maps used in ERDC-Geo link surface dust emission potential to landform type. Using a previously generated southwest United States landform map as training data, a classification model based on machine learning (ML) was established to generate ERDC-Geo input data. To evaluate the ability of the ML model to accurately classify landforms, an independent reference landform data set was created for areas in the Chihuahuan Desert. The reference landform data set was generated using two separate map-ping methodologies: one based on in situ observations, and another based on the interpretation of satellite imagery. Existing geospatial data layers and recommendations from local rangeland experts guided site selections for both in situ and remote landform identification. A total of 18 landform types were mapped across 128 sites in New Mexico, Texas, and Mexico using the in situ (31 sites) and remote (97 sites) techniques. The final data set is critical for evaluating the ML-classification model and, ultimately, for improving dust forecasting models.
APA, Harvard, Vancouver, ISO, and other styles
4

White, Howard, Timothy Lubanga, Francis Rathinam, Roland Taremwa, Benjamin Kachero, Caroline Otike, Robert Apunyo, et al. Development evaluations in Uganda 2000–2018: A Country Evaluation Map. Centre of Excellence for Development Impact and Learning (CEDIL), June 2021. http://dx.doi.org/10.51744/cswp1.

Full text
Abstract:
'Development evaluations in Uganda 2000–2018: A Country Evaluation Map' is a CEDIL Synthesis Working Paper. It is a report on the first of its kind country evaluation map for a single country. The map identifies 617 evaluations in multiple sectors. Nearly 60 per cent of the studies contain process evaluation evidence and over 40 per cent are impact evaluations. The map helps make visible recent development evaluations from the country, identifies potential gaps in knowledge and opportunities for evidence synthesis. Users can submit studies for inclusion in the map, thus giving the map a repository function.
APA, Harvard, Vancouver, ISO, and other styles
5

Taverna, Kristin. Vegetation classification and mapping of land additions at Richmond National Battlefield Park, Virginia: Addendum to technical report NPS/NER/NRTR 2008/128. National Park Service, September 2022. http://dx.doi.org/10.36967/2294278.

Full text
Abstract:
In 2008 and 2015, the Virginia Department of Conservation and Recreation, Division of Natural Heritage produced vegetation maps for Richmond National Battlefield Park, following the protocols of the United States Geological Survey (USGS) – National Park Service (NPS) Vegetation Mapping Program. The original 2008 report was part of a regional project to map and classify the vegetation in seven national parks in Virginia. The 2015 report was an addendum to the original report and mapped the vegetation in newly acquired parcels. Since 2015, the park has acquired an additional 820 acres of land within 12 individual parcels, including the 650 acre North Anna unit. This report is an addendum to the 2008 and 2015 reports and documents the mapping of vegetation and other land-use classes for the 12 new land parcels at Richmond National Battlefield Park, with an updated vegetation map for the entire park. The updated map and associated data provide information on the sensitivity and ecological integrity of habitats and can help prioritize areas for protection. The vegetation map of the new land parcels includes eighteen map classes, representing 14 associations from the United States National Vegetation Classification, one nonstandard, park-specific class, and three Anderson Level II land-use categories. The vegetation classification and map classes are consistent with the original 2008 report. Vegetation-map classes for the new land parcels were identified through field reconnaissance, data collection, and aerial photo interpretation. Aerial photography from 2017 served as the base map for mapping the 12 new parcels, and field sampling was conducted in the summer of 2020. Three new map classes for the Park were encountered and described during the study, all within the North Anna park unit. These map classes are Coastal Plain / Outer Piedmont Basic Mesic Forest, Northern Coastal Plain / Piedmont Oak – Beech / Heath Forest, and Southern Piedmont / Inner Coastal Plain Floodplain Terrace Forest. The examples of Coastal Plain / Outer Piedmont Basic Mesic Forest and Southern Piedmont / Inner Coastal Plain Floodplain Terrace Forest at North Anna meet the criteria of size, condition, and landscape context to be considered a Natural Heritage exemplary natural community occurrence and should be targeted for protection and management as needed. New local and global descriptions for the three map classes are included as part of this report. Refinements were made to the vegetation field key to include the new map classes. The updated field key is part of this report. An updated table listing the number of polygons and total hectares for each of the 28 vegetation- map classes over the entire park is also included in the report. A GIS coverage containing a vegetation map for the entire park with updated Federal Geographic Data Committee (FGDC) compliant metadata was completed for this project. The attribute table field names are the same as the 2008 and 2015 products, with the exception of an additional field indicating the year each polygon was last edited.
APA, Harvard, Vancouver, ISO, and other styles
6

Shpigel, Nahum, Raul Barletta, Ilan Rosenshine, and Marcelo Chaffer. Identification and characterization of Mycobacterium paratuberculosis virulence genes expressed in vivo by negative selection. United States Department of Agriculture, January 2004. http://dx.doi.org/10.32747/2004.7696510.bard.

Full text
Abstract:
Mycobacterium avium subsp. paratuberculosis (MAP) is the etiological agent of a severe inflammatory bowel disease (IBD) in ruminants, known as Johne’s disease or paratuberculosis. Johne’s disease is considered to be one of the most serious diseases affecting dairy cattle both in Israel and worldwide. Heavy economic losses are incurred by dairy farmers due to the severe effect of subclinical infection on milk production, fertility, lower disease resistance and early culling. Its influence in the United States alone is staggering, causing an estimated loss of $1.5 billion to the agriculture industry every year. Isolation of MAP from intestinal tissue and blood of Crohn's patients has lead to concern that it plays a potential pathogenic role in promoting human IDB including Crohn’s disease. There is great concern following the identification of the organism in animal products and shedding of the organism to the environment by subclinically infected animals. Little is known about the molecular basis for MAP virulence. The goal of the original proposed research was to identify MAP genes that are required for the critical stage of initial infection and colonization of ruminants’ intestine by MAP. We proposed to develop and use signature tag mutagenesis (STM) screen to find MAP genes that are specifically required for survival in ruminants upon experimental infection. This research projected was approved as one-year feasibility study to prove the ability of the research team to establish the animal model for mutant screening and alternative in-vitro cell systems. In Israel, neonatal goat kids were repeatedly inoculated with either one of the following organisms; MAP K-10 strain and three transposon mutants of K-10 which were produced and screened by the US PI. Six months after the commencement of inoculation we have necropsied the goats and taken multiple tissue samples from the jejunum, ileum and mesenteric lymph nodes. Both PCR and histopathology analysis indicated on efficient MAP colonization of all the inoculated animals. We have established several systems in the Israeli PI’s laboratory; these include using IS900 PCR for the identification of MAP and using HSP65-based PCR for the differentiation between MAV and MAP. We used Southern blot analysis for the differentiation among transposon mutants of K-10. In addition the Israeli PI has set up a panel of in-vitro screening systems for MAP mutants. These include assays to test adhesion, phagocytosis and survival of MAP to/within macrophages, assays that determine the rate of MAPinduced apoptosis of macrophages and MAP-induced NO production by macrophages, and assays testing the interference with T cell ã Interferon production and T cell proliferation by MAP infected macrophages (macrophage studies were done in BoMac and RAW cell lines, mouse peritoneal macrophages and bovine peripheral blood monocytes derived macrophages, respectively). All partners involved in this project feel that we are currently on track with this novel, highly challenging and ambitious research project. We have managed to establish the above described research systems that will clearly enable us to achieve the original proposed scientific objectives. We have proven ourselves as excellent collaborative groups with very high levels of complementary expertise. The Israeli groups were very fortunate to work with the US group and in a very short time period to master numerous techniques in the field of Mycobacterium research. The Israeli group has proven its ability to run this complicated animal model. This research, if continued, may elucidate new and basic aspects related to the pathogenesis MAP. In addition the work may identify new targets for vaccine and drug development. Considering the possibility that MAP might be a cause of human Crohn’s disease, better understanding of virulence mechanisms of this organism might also be of public health interest as well.
APA, Harvard, Vancouver, ISO, and other styles
7

Palmer, Guy H., Eugene Pipano, Terry F. McElwain, Varda Shkap, and Donald P. Knowles, Jr. Development of a Multivalent ISCOM Vaccine against Anaplasmosis. United States Department of Agriculture, July 1993. http://dx.doi.org/10.32747/1993.7568763.bard.

Full text
Abstract:
Anaplasmosis is an arthropod+borne disease of cattle caused by the rickettsia Anaplasma marginale and an impediment to efficient production of healthy livestock in both Israel and the United States. Our research focuses on development of a recombinant membrane surface protein (MSP) immunogen to replace current vaccines derived from the blood of infected cattle. The risk of widespread transmission of both known and newly emergent pathogens has prevented licensure of live blood-based vaccines in the U.S. and is a major concern for their continued use in Israel. Briefly, we accomplished the following in our BARD supported research: i) characterization of the intramolecular and intermolecular relationships of the native Major Surface Proteins (MSP) in the outer membrane; ii) expression, purification, and epitope characterization of the recombinant MSP-2, MSP-3, MSP-4, and MSP-5 proteins required to construct the recombinant ISCOM; iii) demonstration that the outer membrane-Quil A induces CD4+ T lymphocytes specific for the outer membrane polypeptides; iv) identification of CD4+ T lymphocytes that recognize outer membrane polypeptide epitopes conserved among other wise antigenically distinct strains; v) determination that immunization with the outer membrane-Quil A construct does not affect the ability of ticks to acquire or transmit A. marginale; and vi) demonstration that the outer membrane-Quil A construct induces complete protection against rickettsemia upon homologous challenge and significant protection against challenge with antigenically distinct strains, including tick transmission. Importantly, the level of protection against homologous challenge in the MSP vaccinates was comparable to that induced by live blood-based vaccines and demonstrates that development of a new generation of vaccines is feasible.
APA, Harvard, Vancouver, ISO, and other styles
8

Kerr, D. E., A. Plouffe, J. E. Campbell, and I. McMartin. Status of surficial geology mapping in the North. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330334.

Full text
Abstract:
The GEM program has facilitated the availability of new and converted surficial geology maps and associated digital datasets for large sectors of northern Canada, leading to about 70% of the north being mapped and digitally available. Development of the Surficial Data Model (SDM) and Canadian Geoscience Map (CGM) series have streamlined the publication process and created a common standard digital map format and geodatabase. Based on traditional and more recent remote predictive mapping methodologies, there are now three types of surficial geology CGM maps produced: Surficial Geology, Reconnaissance Surficial Geology, and Predictive Surficial Geology. The considerable number of new surficial geology maps published during GEM-1 and GEM-2, as well as upcoming map publications, has resulted in an increase of 12% map coverage north of 60?, constituting a significant and lasting legacy of the GEM Program.
APA, Harvard, Vancouver, ISO, and other styles
9

Kerr, D. E., A. Plouffe, J E Campbell, and I. McMartin. Status of surficial geology mapping in northern Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331420.

Full text
Abstract:
The Geo-mapping for Energy and Minerals (GEM) program has facilitated the availability of new and converted surficial geology maps and associated digital data sets for large sectors of northern Canada, leading to about 70% of the North being mapped and digitally available. Development of the Surficial Data Model and Canadian Geoscience Map (CGM) series has streamlined the publication process and created a common standard digital-map format and geodatabase. Based on traditional and more recent remote predictive mapping methodologies, there are now three types of surficial geology CGM maps produced: surficial geology, reconnaissance surficial geology, and predictive surficial geology. The considerable number of new surficial geology maps published during the two phases of the GEM program, as well as upcoming map publications, has resulted in an increase of 12% in map coverage north of 60°, constituting a significant legacy of the GEM program.
APA, Harvard, Vancouver, ISO, and other styles
10

Rathinam, Francis, Sayak Khatua, Zeba Siddiqui, Manya Mallik, Pallavi Duggal, Samantha Watson, and Xavier Vollenweider. Using big data for evaluating development outcomes: a systematic map. Centre of Excellence for Development Impact and Learning (CEDIL), December 2020. http://dx.doi.org/10.51744/cmwp2.

Full text
Abstract:
This paper discusses the methodological, ethical and practical constraints relating to the use of big data for measuring and evaluating development outcomes. The paper presents the analysis of a systematic gap map developed by 3ie. The map included 437 studies, comprising impact evaluations, systematic reviews and big data measurement studies.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'MLP' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography