Дисертації з теми "Multimodal analysis and synthesis"
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Prakosa, Adityo. "Analysis and simulation of multimodal cardiac images to study the heart function." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00837857.
Повний текст джерелаBaum, Karl G. "Multimodal breast imaging : registration, visualization, and image synthesis /." Online version of thesis, 2008. http://hdl.handle.net/1850/7063.
Повний текст джерелаBeskow, Jonas. "Talking Heads - Models and Applications for Multimodal Speech Synthesis." Doctoral thesis, KTH, Tal, musik och hörsel, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3561.
Повний текст джерелаQC 20100506
Almayyan, Waheeda. "Performance analysis of multimodal biometric fusion." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/5998.
Повний текст джерелаSun, Felix (Felix W. ). "Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106378.
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 (pages 59-63).
The field of speech recognition has seen steady advances over the last two decades, leading to the accurate, real-time recognition systems available on mobile phones today. In this thesis, I apply speech modeling techniques developed for recognition to two other speech problems: speech synthesis and multimodal speech recognition with images. In both problems, there is a need to learn a relationship between speech sounds and another source of information. For speech synthesis, I show that using a neural network acoustic model results in a synthesizer that is more tolerant of noisy training data than previous work. For multimodal recognition, I show how information from images can be effectively integrated into the recognition search framework, resulting in improved accuracy when image data is available.
by Felix Sun.
M. Eng.
Specker, Elizabeth. "L1/L2 Eye Movement Reading of Closed Captioning: A Multimodal Analysis of Multimodal Use." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194820.
Повний текст джерелаMarcollo, Hayden 1972. "Multimodal vortex-induced vibration." Monash University, Dept. of Mechanical Engineering, 2002. http://arrow.monash.edu.au/hdl/1959.1/7674.
Повний текст джерелаZhang, Weiwei. "Multimodal Cardiovascular Image Analysis Using Phase Information." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491680.
Повний текст джерелаSvitlichna. "ANALYSIS OF MULTIMODAL SERVICE MARKET IN UKRAINE." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33914.
Повний текст джерелаJancsary, Dennis, Markus Höllerer, and Renate Meyer. "Critical analysis of visual and multimodal texts." SAGE, 2016. http://epub.wu.ac.at/6126/1/Dennis_etal_2016_SAGE%2Dcritical%2Danalysis.pdf.
Повний текст джерелаChen, Xun. "Multimodal biomedical signal processing for corticomuscular coupling analysis." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/45811.
Повний текст джерелаDoleman, Brett. "A meta-analysis of gabapentin and multimodal analgesics." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/43385/.
Повний текст джерелаSoltaninejad, Mohammadreza. "Supervised learning-based multimodal MRI brain image analysis." Thesis, University of Lincoln, 2017. http://eprints.lincoln.ac.uk/30883/.
Повний текст джерелаKassel, Jan-Frederik [Verfasser]. "On intelligible multimodal visual analysis / Jan-Frederik Kassel." Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2020. http://d-nb.info/1220422258/34.
Повний текст джерелаGarcía, Marcos Eloy. "Glandular tissue pattern analysis through multimodal MRI-mammography registration." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/585969.
Повний текст джерелаEl càncer de mama és el tipus de càncer més comú entre les dones de tot el món. Diversos estudis han demostrat que la combinació de diferents modalitats d'imatge mèdica, com ara la mamografia i la ressonància magnètica (MRI), comporta un diagnòstic més precís. L'objectiu d'aquesta tesi és doble, per una banda avaluar la similitud de la informació entre la mamografia de raigs X i la MRI i, d’altra banda, proposar nous algoritmes de registre que serveixin per a correlacionar la posició espacial en les dues modalitats d'imatge. El problema abarca la construcció del model biomecànic de la mama a partir de la ressonància magnètica, la simulació de la deformació que pateix la mama durant l’adquisició mamogràfica, la simulació dels rajos X atravessant la mama fins a obtenir la imatge (pseudo-mamografia) i els mètodes de registre posteriors per tal de millorar la similitud entre la imatge real i la simulada
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.
Yu, C. (Changrong). "Emotional display in argument, storytelling and teasing:a multimodal analysis." Doctoral thesis, Oulun yliopisto, 2012. http://urn.fi/urn:isbn:9789514298516.
Повний текст джерелаTiivistelmä Väitöskirja tutkii tunteiden osoittamista arkisissa keskustelutilanteissa ja erityisesti väittelyn, tarinankerronnan ja kiusoittelun kuluessa. Tutkimusmetodi on pääasiassa keskustelunanalyysi, jonka avulla tutkitaan, miten kielelliset ilmaukset, prosodiset vihjeet sekä keholliset toiminnot yhdessä tuottavat tunneilmauksia. Tutkimusaineiston muodostaa kolme videoitua keskustelua ja niiden litteraatiot. Tutkimus osoittaa arkikeskusteluissa esiintyvissä väittelyissä ilmenevän kahtalaista turhautumisen tyyppiä. Ensimmäisessä puhujat tuottavat rinnan kielellisiä ja ei-kielellisiä turhautumisen ilmauksia, toisessa turhautumista osoitetaan vain ei-kielellisin keinoin. Tuloksien mukaan edellisessä tyypissä prosodia ja keholliset toiminnot ovat monimutkaisessa vuorovaikutuksessa keskenään. Jälkimmäisessä tyypissä turhautumista ilmaistaan pelkästään keholla. Toiseksi väitöskirja osoittaa, miten jaettu ilon tunne syntyy puhujien ja vastaanottajien välisenä toimintana. Tarinankerronnassa saavutetaan ilon hetkiä, koska vastaanottajat ovat halukkaasti mukana kerronnassa ja osoittavat aktiivista vastaanottoa kahdella tavalla: he osoittavat arvostusta kertomusta kohtaan verbaalisin keinoin, tai he liittyvät kerrontaan mukaan nauramalla, hymyilemällä, nyökkäilemällä, vaihtamalla katseita keskenään, referoimalla ja tulkitsemalla kertojan aiempaa puhetta formulaatioillaan ja vertailemalla omia kokemuksiaan tarinan tilanteeseen. Kolmanneksi tutkimus analysoi leikkisää kiusoittelua, joka saadaan aikaan liioittelevilla kielellisillä ilmauksilla sekä liioittelevilla prosodisilla vihjeillä ja eleillä. Tutkimus näyttää, että kiusoittelun kohteet aktiivisesti myötävaikuttavat kiusoittelutoimintaan. He voivat olla siinä mukana liioittelevilla vastausvuoroilla, nauramalla tai toimimalla mukana pelkästään eleiden avulla. Empiirinen analyysi näyttää, että kiusoittelutoiminta tuottaa yhteisen huvittuneisuuden kokemuksen keskustelun kuluessa. Kiusoittelijan ja kiusoittelun kohteen kokema ohimenevä nolous tai kiusaantuneisuus ei estä tämän yhteisen huvittuneisuuden kokemuksen saavuttamista
Nordensvärd, Eje. "Multimodality : An EFL textbook comparison using multimodal discourse analysis." Thesis, Södertörns högskola, Lärarutbildningen, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-6007.
Повний текст джерелаHennessey, James W. "Assistive visual content creation tools via multimodal correlation analysis." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10046053/.
Повний текст джерелаRaschke, Felix. "Tissue type analysis of brain tumours using multimodal MRI." Thesis, St George's, University of London, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617006.
Повний текст джерелаBalakrishnan, Arjun. "Integrity Analysis of Data Sources in Multimodal Localization System." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG060.
Повний текст джерелаIntelligent vehicles are a key component in humanity’s vision for safer, efficient, and accessible transportation systems across the world. Due to the multitude of data sources and processes associated with Intelligent vehicles, the reliability of the total system is greatly dependent on the possibility of errors or poor performances observed in its components. In our work, we focus on the critical task of localization of intelligent vehicles and address the challenges in monitoring the integrity of data sources used in localization. The primary contribution of our research is the proposition of a novel protocol for integrity by combining integrity concepts from information systems with the existing integrity concepts in the field of Intelligent Transport Systems (ITS). An integrity monitoring framework based on the theorized integrity protocol that can handle multimodal localization problems is formalized. As the first step, a proof of concept for this framework is developed based on cross-consistency estimation of data sources using polynomial models. Based on the observations from the first step, a 'Feature Grid' data representation is proposed in the second step and a generalized prototype for the framework is implemented. The framework is tested in highways as well as complex urban scenarios to demonstrate that the proposed framework is capable of providing continuous integrity estimates of multimodal data sources used in intelligent vehicle localization
Tobón, Gómez Catalina. "Three-dimensional statistical shape models for multimodal cardiac image analysis." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/37473.
Повний текст джерелаCardiovascular diseases (CVDs) are the major cause of death in the Western world. The desire to prevent and treat CVDs has triggered a rapid development of medical imaging systems. As a consequence, the amount of imaging data collected in health care institutions has increased considerably. This fact has raised the need for automated analysis tools to support diagnosis with reliable and reproducible image interpretation. The interpretation task requires to translate raw imaging data into quantitative parameters, which are considered relevant to classify the patient’s cardiac condition. To achieve this task, statistical shape model approaches have found favoritism given the 3D (or 3D+t) nature of cardiovascular imaging datasets. By deforming the statistical shape model to image data from a patient, the heart can be analyzed in a more holistic way. Currently, the field of cardiovascular imaging is constituted by different modalities. Each modality exploits distinct physical phenomena, which allows us to observe the cardiac organ from different angles. Clinicians collect all these pieces of information to form an integrated mental model. The mental model includes anatomical and functional information to display a full picture of the patient’s heart. It is highly desirable to transform this mental model into a computational model able to integrate the information in a comprehensive manner. Generating such a model is not simply a visualization challenge. It requires having a methodology able to extract relevant quantitative parameters by applying the same principle. This assures that the measurements are directly comparable. Such a methodology should be able to: 1) accurately segment the cardiac cavities from multimodal datasets, 2) provide a unified frame of reference to integrate multiple information sources, and 3) aid the classification of a patient’s cardiac condition. This thesis builds upon the idea that statistical shape models, in particular Active Shape Models, are a robust and accurate approach with the potential to incorporate all these requirements. In order to handle multiple image modalities, we separate the statistical shape information from the appearance information. We obtain the statistical shape information from a high resolution modality and include the appearance information by simulating the physics of acquisition of other modalities. The contributions of this thesis can be summarized as: 1) a generic method to automatically construct intensity models for Active Shape Models based on simulating the physics of acquisition of the given imaging modality, 2) the first extension of a Magnetic Resonance Imaging (MRI) simulator tailored to produce realistic cardiac images, and 3) a novel automatic intensity model and reliability training strategy applied to cardiac MRI studies. Each of these contributions represents an article published or submitted to a peer-review archival journal.
Ma, Mei-lin Linda. "Multimodal discourse analysis of advertisements of Hong Kong charity organizations." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31789729.
Повний текст джерелаReimer, Mark. "Multimodal transportation systems analysis to characterize petroleum-related freight flows." Transportation Research Board of the National Academies, 2014. http://hdl.handle.net/1993/30288.
Повний текст джерелаMa, Mei-lin Linda, and 馬美蓮. "Multimodal discourse analysis of advertisements of Hong Kong charity organizations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31789729.
Повний текст джерелаLi, Yanan, and 李亚男. "Multimodal analysis of academic posters by student writers across disciplines." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/207138.
Повний текст джерелаpublished_or_final_version
Applied English Studies
Master
Master of Arts in Applied Linguistics
Gonzalez, Temer Veronica. "A multimodal analysis of assessment sequences in Chilean Spanish interaction." Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/20579/.
Повний текст джерелаAlduhaim, Asmaa. "Multimodal translation analysis : Arab Spring speeches in Arabic and English." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8561/.
Повний текст джерелаGupta, Rakesh 1968. "Prototyping and design for assembly analysis using multimodal virtual environments." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11103.
Повний текст джерелаSong, Yale. "Structured video content analysis : learning spatio-temporal and multimodal structures." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90003.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 141-154).
Video data exhibits a variety of structures: pixels exhibit spatial structure, e.g., the same class of objects share certain shapes and/or colors in image; sequences of frames exhibit temporal structure, e.g., dynamic events such as jumping and running have a certain chronological order of frame occurrence; and when combined with audio and text, there is multimodal structure, e.g., human behavioral data shows correlation between audio (speech) and visual information (gesture). Identifying, formulating, and learning these structured patterns is a fundamental task in video content analysis. This thesis tackles two challenging problems in video content analysis - human action recognition and behavior understanding - and presents novel algorithms to solve each: one algorithm performs sequence classification by learning spatio-temporal structure of human action; another performs data fusion by learning multimodal structure of human behavior. The first algorithm, hierarchical sequence summarization, is a probabilistic graphical model that learns spatio-temporal structure of human action in a fine-to-coarse manner. It constructs a hierarchical representation of video by iteratively summarizing the video sequence, and uses the representation to learn spatio-temporal structure of human action, classifying sequences into action categories. We developed an efficient learning method to train our model, and show that its complexity grows only sublinearly with the depth of the hierarchy. The second algorithm focuses on data fusion - the task of combining information from multiple modalities in an effective way. Our approach is motivated by the observation that human behavioral data is modality-wise sparse, i.e., information from just a few modalities contain most information needed at any given time. We perform data fusion using structured sparsity, representing a multimodal signal as a sparse combination of multimodal basis vectors embedded in a hierarchical tree structure, learned directly from the data. The key novelty is in a mixed-norm formulation of regularized matrix factorization via structured sparsity. We show the effectiveness of our algorithms on two real-world application scenarios: recognizing aircraft handling signals used by the US Navy, and predicting people's impression about the personality of public figures from their multimodal behavior. We describe the whole procedure of the recognition pipeline, from the signal acquisition to processing, to the interpretation of the processed signals using our algorithms. Experimental results show that our algorithms outperform state-of-the-art methods on human action recognition and behavior understanding.
by Yale Song.
Ph. D.
Bao-Rozee, Jie. "Using multimodal analysis to investigate the role of the interpreter." Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/24665.
Повний текст джерелаDiehn, Sabrina Maria. "Analysis of data from multimodal chemical characterizations of plant tissues." Doctoral thesis, Humboldt-Universität zu Berlin, 2021. http://dx.doi.org/10.18452/23065.
Повний текст джерелаThe pre-processing and analysis of spectrometric and spectroscopic data of plant tissue are important in a wide variety of research areas, such as plant biology, agricultural science, and climate research. The focus of the thesis is the optimized utilization of data from plant tissues, which includes data from Matrix-Assisted-Laser Desorption/Ionization time of flight mass spectrometry, Raman spectroscopy, and Fourier transform infrared spectroscopy. The ability to attain a classification using these methods is compared, in particular after combination of the data with each other and with additional chemical and biological information. The discussed examples are concerned with the investigation and classification within a particular plant species, such as the distinction of samples from different populations, growth conditions, or tissue substructures. The data were analyzed by exploratory tools such as principal component analysis and hierarchical cluster analysis, as well as by predictive tools that included partial least square-discriminant analysis and machine learning approaches. Specifically, the results show that combination of the methods with additional plant-related information in a consensus principal component analysis leads to a comprehensive characterization of the samples. Different data pre-treatment strategies are discussed to reduce non-relevant spectral information, e.g., from maps of plant tissues or embedded pollen grains. The results in this work indicate the relevance of the targeted utilization of spectrometric and spectroscopic data and could be applied not only to plant-related topics but also to other analytical classification problems.
Dicerto, Sara. "Multimodal pragmatics : building a new model for source text analysis." Thesis, University of Surrey, 2015. http://epubs.surrey.ac.uk/808325/.
Повний текст джерелаKamaly, Nazila. "Design, synthesis and evaluation of multimodal paramagnetic lipids for liposomal fluorescence and magnetic resonance imaging." Thesis, Imperial College London, 2007. http://hdl.handle.net/10044/1/1242.
Повний текст джерелаBoase, Nathan R. B. "Hyperbranched polymers for in vivo multimodal molecular imaging." Thesis, University of Queensland, 2015. https://eprints.qut.edu.au/96267/1/96267.pdf.
Повний текст джерелаCASTELLANOS, REYNEL MARTÍNEZ. "CHARACTERIZATION OF IRON ORE PELLETS BY MULTIMODAL MICROSCOPY AND IMAGE ANALYSIS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=27187@1.
Повний текст джерелаCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
Pelotas de minério de ferro são formadas a partir da aglomeração de finos de minério e constituem o principal insumo para o processo de redução na indústria siderúrgica. As frações de fases sólidas e de poros afetam propriedades tais como resistência à compressão, permeabilidade a gases durante o processo de redução, e redutibilidade. No presente trabalho desenvolveu-se um método automático para a identificação e a quantificação automáticas das fases sólidas e poros presentes em pelotas de minério de ferro, mediante a correlação de imagens obtidas por duas técnicas diferentes – microscopia ótica (MO) e eletrônica de varredura (MEV). Imagens em mosaico cobrindo completamente uma seção transversal equatorial da pelota foram capturadas em MO e MEV. Utilizando técnicas de processamento de imagens, as fases e os poros foram identificados e quantificados em cada tipo de imagem. No entanto, cada técnica apresenta limitações na discriminação de certas fases, impedindo uma quantificação completa. Por outro lado, a combinação de imagens dos dois tipos permite discriminar todas as fases. Para isso as imagens de MO e MEV foram automaticamente registradas utilizando pontos de referência homólogos obtidos pela técnica SIFT – Scale Invariant Feature Transform. Após o registro, fases e poros foram individualmente identificadas e quantificadas, levando a resultados muito mais precisos do que os obtidos separadamente. Comparou-se também o resultado de porosidade com o obtido por microtomografia de raios-x (MicroCT). Para isso, um procedimento de correlação identificou a camada de uma tomografia 3D mais similar às imagens de MO ou MEV, foi realizado o registro e mediu-se a fração de área de poros. O valor encontrado foi muito menor na imagem de MicroCT, fato atribuído à pior resolução espacial desta técnica.
Iron ore pellets are formed by an agglomeration process and currently constitute the main source for the reduction process in steel making. The fractions of solid phases and pores directly affect pellets´ properties such as compression resistance, gas permeability during the reduction process, and reducibility. In this work a method for the automatic identification and quantification of phases and pores in iron ore pellets was developed, based on the correlation between images obtained with two different techniques – optical microscopy (OM) and scanning electron microscopy (SEM). Mosaic images covering the full equatorial cross section of a pellet were acquired with OM and SEM. Employing digital image processing techniques the phases and pores were identified and quantified in each type of image. However, each imaging technique has limitations in the discrimination of certain phases, preventing a full quantification. On the other hand, the combination of the two types of images allows discriminating all phases. For that, OM and SEM images were automatically registered using homologous reference points obtained with the SIFT – Scale Invariant Feature Transform technique. After registration, phases and pores were individually identified and quantified, leading to much more accurate results than those provided separately by OM or SEM. The porosity was also compared with that provided by x-ray MicroCT. For that, a correlation procedure identified the closest matching MicroCT layer to the OM or SEM images, the image was registered and the pore fraction was measured. The obtained value is much lower for the MicroCT image, what was attributed to the worse spatial resolution of the technique.
Varga, Kate, and Ronja Cato. "A multimodal critical discourse analysis of Swedish teaching materials for English." Thesis, Malmö universitet, Malmö högskola, Institutionen för kultur, språk och medier (KSM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-41075.
Повний текст джерелаRose, Richard Travis. "MacVisSTA: A System for Multimodal Analysis of Human Communication and Interaction." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/34281.
Повний текст джерелаMaster of Science
Taleb, Catherine. "Parkinson's desease detection by multimodal analysis combining handwriting and speech signals." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT039.
Повний текст джерелаParkinson’s disease (PD) is a neurological disorder caused by a decreased dopamine level on the brain. This disease is characterized by motor and non-motor symptoms that worsen over time. In advanced stages of PD, clinical diagnosis is clear-cut. However, in the early stages, when the symptoms are often incomplete or subtle, the diagnosis becomes difficult and at times, the subject may remain undiagnosed. Furthermore, there are no efficient and reliable methods capable of achieving PD early diagnosis with certainty. The difficulty in early detection is a strong motivation for computer-based assessment tools/decision support tools/test instruments that can aid in the early diagnosing and predicting the progression of PD.Handwriting’s deterioration and vocal impairment may be ones of the earliest indicators for the onset of the illness. According to the reviewed literature, a language independent model to detect PD using multimodal signals has not been enough addressed. The main goal of this thesis is to build a language independent multimodal system for assessment the motor disorders in PD patients at an early stage based on combined handwriting and speech signals, using machine learning techniques. For this purpose and due to the lack of a multimodal and multilingual dataset, such database that is equally distributed between controls and PD patients was first built. The database includes handwriting, speech, and eye movements’ recordings collected from control and PD patients in two phases (“on-state” and “off-state”). In this thesis we focused on handwriting and speech analysis, where PD patients were studied in their “on-state”.Language-independent models for PD detection based on handwriting features were built; where two approaches were considered, studied and compared: a classical feature extraction and classifier approach and a deep learning approach. Approximately 97% classification accuracy was reached with both approaches. A multi-class SVM classifier for stage detection based on handwriting features was built. The achieved performance was non-satisfactory compared to the results obtained for PD detection due to many obstacles faced.Another language and task-independent acoustic feature set for assessing the motor disorders in PD patients was built. We have succeeded to build a language independent SVM model for PD diagnosis through voice analysis with 97.62% accuracy. Finally, a language independent multimodal system for PD detection by combining handwriting and voice signals was built, where both classical SVM model and deep learning models were both analyzed. A classification accuracy of 100% is obtained when handcrafted features from both modalities are combined and applied to the SVM. Despite the encouraging results obtained, there is still some works to do before putting our PD detection multimodal model into clinical use due to some limitations inherent to this thesis
Villanueva-Jordán, Iván. "Translation and Telefiction: Multimodal Analysis of Paratextual Pieces for HBO’s Looking." Universitat Jaume I, 2021. http://hdl.handle.net/10757/656886.
Повний текст джерелаLesprier, Jérémy. "Synthèse et validation de lois de commande de vol robustes en présence d’incertitudes paramétriques et de non-linéarités." Thesis, Toulouse, ISAE, 2015. http://www.theses.fr/2015ESAE0031/document.
Повний текст джерелаControl laws design and validation methods used in the aeronautical industryare generally time-consuming and costly to set up. However, alternativesexist to cope with large operating domains, such as robust dynamic inversion.This thesis work aims at fixing its drawbacks by better considering the systemuncertainties, and by rejecting the uncompensated nonlinearities. Thanks to recentadvances in structured multimodel H¥ design techniques, it is now possible toconsider multiple worst-case configurations, determined using robustness analysistools. Besides, another part of this work is devoted to the improvement of existingtechniques to evaluate the robustness margin of an LTI system, which are oftentoo conservative or computationally costly. All these contributions are applied tothe control of a civil aircraft and a small fixed-wing UAV, whose modeling is alsothoroughly described
Marunowski, Kenneth Ray. "The Euro: A Multimodal Study in Presence." [Kent, Ohio] : Kent State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1155924832.
Повний текст джерелаTitle from PDF t.p. (viewed Oct. 16, 2006). Advisor: Christina Haas. Keywords: visual rhetoric; European integration; euro; multimodal discourse; presence. Includes bibliographical references (p. 179-185).
Damaskinidis, George. "Image analysis for translating English multimodal texts into Greek : a multimodal semiotics approach to translation training in a Greek higher education context." Thesis, Open University, 2012. http://oro.open.ac.uk/49080/.
Повний текст джерелаFyrner, Timmy. "Synthesis of Orthogonally Functionalized Oligosaccharides for Self-assembled Monolayers and as Multimodal Tools in Chemical Biology." Doctoral thesis, Linköpings universitet, Institutionen för fysik, kemi och biologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-76733.
Повний текст джерелаBok, Sarah H. "A multimodal analysis of selected National Lovelife HIV/AIDS prevention campaign texts." Thesis, University of the Western Cape, 2008. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_4155_1259739735.
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This study investigates the ever-changing trends in visual texts and images used during HIV-prevention campaigns in South Africa. The aim is to evaluate and analyse the effect of multimodal texts used in HIV/AIDS campaigns on the understanding and interpretation by the target group, and thus gauge their effectiveness. Using a text-based multimodal approach (Kress and van Leeuwen, 1996/2006
Martin and Rose, 2004), the study takes into account variables such as socio-economic status, literacy levels, language and cultural differences of readers to evaluate the efficacy of loveLife campaigns to disseminate the HIV/AIDS prevention message. This study focuses on the choice of images and words, and whether they cohere to make a meaningful message. The study analyses how the design features, including images, colour and words, impact on the interpretation of the message and also how the design acts as an aid or barrier to the process of decoding the message. The choice of a two-pronged approach combining multimodality and a text-based (discourse) analyses often favoured by those working in systemic functional linguistics is that it enables the researcher to account for social context, economic, linguistic, cultural and behavioural factors that play a role during the decoding phase..."
Thomas, Martin. "Localizing pack messages : A framework for corpus-based cross-cultural multimodal analysis." Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507881.
Повний текст джерелаBießmann, Felix Verfasser], and Klaus-Robert [Akademischer Betreuer] [Müller. "Data-driven analysis for multimodal neuroimaging / Felix Bießmann. Betreuer: Klaus-Robert Müller." Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2012. http://d-nb.info/1018985220/34.
Повний текст джерелаGimenes, Gabriel Perri. "Advanced techniques for graph analysis: a multimodal approach over planetary-scale data." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-26062015-105026/.
Повний текст джерелаAplicações como comércio eletrônico, redes de computadores, redes sociais e biologia (interação proteica), entre outras, levaram a produção de dados que podem ser representados como grafos à escala planetária { podendo possuir milhões de nós e bilhões de arestas. Tais aplicações apresentam problemas desafiadores quando a tarefa consiste em usar as informações contidas nos grafos para auxiliar processos de tomada de decisão através da descoberta de padrões não triviais e potencialmente utéis. Para processar esses grafos em busca de padrões, tanto pesquisadores como a indústria tem usado recursos de processamento distribuído organizado em clusters computacionais. Entretanto, a construção e manutenção desses clusters pode ser complexa, trazendo tanto problemas técnicos como financeiros que podem ser proibitivos em diversos casos. Por isso, torna-se desejável a capacidade de se processar grafos em larga escala usando somente um nó computacional. Para isso, foram desenvolvidos processos e algoritmos seguindo três abordagens diferentes, visando a definição de um arcabouço de análise capaz de revelar padrões, compreensão e auxiliar na tomada de decisão sobre grafos em escala planetária.
Rukšytė, Eligija. "Communicating corporate image: A Multimodal Critical Discourse Analysis on LinkedIn Job Advertisements." Thesis, Malmö universitet, Institutionen för konst, kultur och kommunikation (K3), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-45971.
Повний текст джерелаGonzalez, Johansen Karin. "Weight bias amongst health professionals on Instagram : A critical multimodal discourse analysis." Thesis, Högskolan i Halmstad, Akademin för hälsa och välfärd, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43512.
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