Relevant bibliographies by topics / DEAP EEG / Dissertations / Theses
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Dissertations / Theses on the topic 'DEAP EEG'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

Banville, Hubert. "Enabling real-world EEG applications with deep learning." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG005.

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Au cours des dernières décennies, les avancées révolutionnaires en neuroimagerie ont permis de considérablement améliorer notre compréhension du cerveau. Aujourd'hui, avec la disponibilité croissante des dispositifs personnels de neuroimagerie portables, tels que l'EEG mobile " à bas prix ", une nouvelle ère s’annonce où cette technologie n'est plus limitée aux laboratoires de recherche ou aux contextes cliniques. Les applications de l’EEG dans le " monde réel " présentent cependant leur lot de défis, de la rareté des données étiquetées à la qualité imprévisible des signaux et leur résolution
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Wasnik, Sachinkumar. "Fatigue Detection in EEG Time Series Data Using Deep Learning." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/24917.

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Fatigue has widespread effects on the brain’s executive function, reaction time and information processing, causing loss of alertness, that affect safety, and productivity. There are various subjective and behavioural methods to measure fatigue. However, none of them is precise. The work in this thesis employs physiological measures such as heart rate, blood pressure, and breathing that are objective and quantitative indicators. These are thought to provide reliable measures of fatigue and may be easier to deploy in real world scenarios, compared to the subjective or behavioural methods. In p
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3

Brugattu, Valeria. "Deep learning con reti neurali convoluzionali per la classificazione di segnali EEG." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/19978/.

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Il segnale elettroencefalografico (EEG) è un segnale complesso e la sua analisi ricopre un ruolo importante nell'ambito delle neuroscienze. Le tecniche di Deep Learning, grazie agli sviluppi degli ultimi anni, possono essere utilizzate per l’analisi e la classificazione del segnale EEG. Gli algoritmi di Deep Learning, basati sulle reti neurali multistrato, hanno dimostrato di avere la capacità di estrarre informazioni rilevanti dal segnale EEG e di facilitare il lavoro dell’analista, grazie all'estrazione automatica delle feature del segnale. In questo lavoro è stata studiata l’architettura d
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Sonkajärvi, E. (Eila). "The brain's electrical activity in deep anaesthesia:with special reference to EEG burst-suppression." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526209722.

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Abstract Several anaesthetics are able to induce a burst-suppression (B-S) pattern in the electroencephalogram (EEG) during deep levels of anaesthesia. A burst-suppression pattern consists of alternating high amplitude bursts and periods of suppressed background activity. All monitors measuring the adequacy of anaesthesia recognize the EEG B-S as one criterion. A better understanding of EEG burst-suppression is important in understanding the mechanisms of anaesthesia. The aim of the study was to acquire a more comprehensive understanding of the function of neural pathways during deep anaesthes
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5

Pinnell, Richard Charles. "Miniature wireless deep-brain stimulator and EEG-recording device : implications for the treatment of schizophrenia." Thesis, University of Strathclyde, 2014. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24074.

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Deep-brain stimulation (DBS) is increasingly being pursued as a treatment option for a range of neuropsychiatric disorders. When assessing its potential for the treatment of schizophrenia, related animal studies are often limited by the range of measurements that the equipment is capable of. In animals, the combination of DBS with various recording modalities such as local-field potential (LFP) recording has traditionally required complex and time-consuming laboratory setups. Furthermore, the elucidation of neural activity underpinning rodent behaviour has traditionally been hampered by the us
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Avilov, Oleksii. "Deep learning methods for motor imagery detection from raw EEG : applications to brain-computer interfaces." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0032.

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Cette thèse présente trois contributions pour améliorer la reconnaissance d’imaginations motrices utilisées par de nombreuses interfaces cerveau-ordinateur (BCI) comme moyen d'interaction. Tout d'abord, nous proposons d'estimer la qualité des images motrices en détectant des valeurs aberrantes et de les supprimer avant apprentissage. Ensuite, nous étudions la sélection des caractéristiques pour sept imaginations de mouvements. Enfin, nous présentons une architecture d'apprentissage profond reprenant les principes du réseaux EEGnet applicable directement sur des signaux électro-encéphalographiq
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Aslam, Adam Joshua. "EEG Characterization During Motor Tasks That Are Difficult for Movement Disorder Patients." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1822.

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Movement disorders are a group of syndromes that often arise due to neurological abnormalities. Approximately 40 million Americans are affected by some form of movement disorder, significantly impacting patients’ quality of life and their ability to live independently. Deep brain stimulation (DBS) is one treatment that has shown promising results in the past couple decades, however, the currently used open-loop system has several drawbacks. By implementing a closed-loop or adaptive DBS (aDBS) system, the need for expensive parameter reprogramming sessions would be reduced, side-effects may be
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8

Mariam, Tasnuva. "Burst-suppression events and fast, large-amplitude, sharp waves in the cortical EEG during deep isoflurane coma." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54331.

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9

Sors, Arnaud. "Apprentissage profond pour l'analyse de l'EEG continu." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAS006/document.

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Ces travaux de recherche visent à développer des méthodes d’apprentissage automatique pour l’analyse de l’électroencéphalogramme (EEG) continu. L’EEG continu est une modalité avantageuse pour l’évaluation fonctionnelle des états cérébraux en réanimation ou pour d’autres applications. Cependant son utilisation aujourd’hui demeure plus restreinte qu’elle ne pourrait l’être, car dans la plupart des cas l’interprétation est effectuée visuellement par des spécialistes.Les sous-parties de ce travail s’articulent autour de l’évaluation pronostique du coma post-anoxique, choisie comme application pilo
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Huang, Yan. "A Deep Learning Approach to Seizure Prediction with a Desirable Lead Time." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1548345388245127.

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11

Mayor, Torres Juan Manuel. "Modeling Heart and Brain signals in the context of Wellbeing and Autism Applications: A Deep Learning Approach." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/247209.

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The analysis and understanding of physiological and brain signals is critical in order to decode user’s behavioral/neural outcome measures in different domain scenarios. Personal Health-Care agents have been proposed recently in order to monitor and acquire reliable data from daily activities to enhance control participants’ wellbeing, and the quality of life of multiple non-neurotypical participants in clinical lab-controlled studies. The inclusion of new wearable devices with increased and more compact memory requirements,and the possibility to include long-size datasets on the cloud and net
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Mayor, Torres Juan Manuel. "Modeling Heart and Brain signals in the context of Wellbeing and Autism Applications: A Deep Learning Approach." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/247209.

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The analysis and understanding of physiological and brain signals is critical in order to decode user’s behavioral/neural outcome measures in different domain scenarios. Personal Health-Care agents have been proposed recently in order to monitor and acquire reliable data from daily activities to enhance control participants’ wellbeing, and the quality of life of multiple non-neurotypical participants in clinical lab-controlled studies. The inclusion of new wearable devices with increased and more compact memory requirements,and the possibility to include long-size datasets on the cloud and net
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Arteaga, Falconi Juan Sebastian. "Towards an Accurate ECG Biometric Authentication System with Low Acquisition Time." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40129.

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Biometrics is the study of physical or behavioral traits that establishes the identity of a person. Forensics, physical security and cyber security are some of the main fields that use biometrics. Unlike traditional authentication systems—such as password based—biometrics cannot be lost, forgotten or shared. This is possible because biometrics establishes the identity of a person based on a physiological/behavioural characteristic rather than what the person possess or remembers. Biometrics has two modes of operation: identification and authentication. Identification finds the identity of a pe
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Assem, Martijn J. van den. "Deal or no deal? : decision making under risk in a large-stake TV game show and related experiments = Deal or no deal? : risicogedrag in een televisieshow met grote geldbedragen en gerelateerde experimenten /." Rotterdam : Erasmus Research Institute of Management, 2008. http://opac.nebis.ch/cgi-bin/showAbstract.pl?u20=9789058921734.

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15

Jonsson, Maja, and Jennifer Brown. "Deep Learning for Driver Sleepiness Classification using Bioelectrical Signals and Karolinska Sleepiness Scale." Thesis, Linköpings universitet, Institutionen för medicinsk teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178082.

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Driver sleepiness contributes to a large amount of all road traffic crashes. Developing an objective measurement of driver sleepiness in order to prevent eventual traffic accidents is desirable. The aim of this master thesis was to investigate if deep learning can be used to provide a driver sleepiness classification from brain activity signals obtained by electroencephalography (EEG). The intention was to study the classification performance when using different representations of the input data and to examine how various deep neural network architectures and class weighting during training a
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16

McCloskey, Stephen Michael. "Towards Sleep Data Science: Objective Analysis of Sleep Disorders Using Machine Learning Techniques." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27140.

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In recent years there has been an expansion in the availability of technologies to monitor sleep, however, research into sleep has been restricted by techniques developed early in the sleep science field. Sleep studies are widely conducted, but there are key challenges arising from the differences in equipment, data collection and processing, the confidential nature of medical studies, and the subjective, manual and labour-intensive sleep scoring and measurement. This motivates the need to develop objective, data-driven machine learning methods to analyse sleep and sleep disorders. We develo
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17

Boudová, Markéta. "Segmentace skrytých P vln pomocí metod hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442578.

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The aim of this thesis is segmentation of P waves in ECG signals. The theoretical part of the thesis describes the physiology of the heart and the basics of deep learning methods. Preprocessing of the signals is performed and neural network U-Net is implemented in the Python software environment in the practical part. Afterwards, optimization of network architecture is performed in order to reduce model complexity. Lastly the success rate of the model is evaluated.
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18

Maluleke, Vutlhari Absalom. "The effects of boat mooring systems on squid egg beds during squid fishing." Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2528.

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Thesis (MTech (Mechanical Engineering))--Cape Peninsula University of Technology, 2017.<br>In South Africa, squid fishing vessels need to find and then anchor above benthic squid egg beds to effect viable catches. However, waves acting on the vessel produce a dynamic response on the anchor line. These oscillatory motions produce impact forces of the chain striking the seabed. It is hypothesised that this causes damage to the squid egg bed beneath the vessels. Different mooring systems may cause more or less damage and this is what is investigated in this research. The effect of vessel mooring
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19

Milon-Harnois, Gaëlle. "Détection automatique et analyse des oscillations à haute fréquence en EEG-HD de surface." Electronic Thesis or Diss., Angers, 2023. http://www.theses.fr/2023ANGE0054.

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Un tiers des épileptiques ne voient pas d'amélioration avec les traitements actuels, poussant les médecins à envisager la chirurgie pour enlever la zone cérébrale générant les crises. Les Oscillations à Haute Fréquence (HFO) émergent comme biomarqueur pour localiser ces zones épileptogènes, mais leur détection est difficile en raison de leur rareté et de leur brièveté. En EEG de scalp la faible amplitude du signal complexifie la tâche. Cette thèse vise à automatiser la détection de HFO dans des signaux EEG-HD enregistrés à 1 KHz sur 256 électrodes chez 5 patients. Après marquage visuel des HFO
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20

Sláma, Štěpán. "Pokročilá klasifikace poruch srdečního rytmu v EKG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413024.

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This work focuses on a theoretical explanation of heart rhythm disorders and the possibility of their automatic detection using deep learning networks. For the purposes of this work, a total of 6884 10-second ECG recordings with measured eight leads were used. Those recordings were divided into 5 groups according to heart rhythm into a group of records with atrial fibrillation, sinus rhythms, supraventricular rhythms, ventricular rhythms, and the last group consisted of the others records. Individual groups were unbalanced represented and more than 85 % of the total number of data are sinus rh
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21

Weber, Bruno. "Diálogos entre literatura e cinema : um estudo sobre The Dead de James Joyce /." Araraquara : [s.n.], 2010. http://hdl.handle.net/11449/91523.

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Orientador: Maria Clara Bonetti Paro<br>Banca: Adalberto Luis Vicente<br>Banca: José Garcez Ghirardi<br>Resumo: James Joyce configura-se como um dos autores mais importantes do século vinte, e suas técnicas inovadoras influenciaram diversos escritores e artistas por gerações. Contudo, apesar de seu evidente prestígio no campo literário e cultural, pouco são os trabalhos versando sobre suas adaptações para o cinema. A intenção do presente estudo é de analisar os implícitos sexuais marcados no conto Os Mortos de James Joyce e sua representação na adaptação cinematográfica de John Huston, de 1987
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22

Nunes, Valcácia Fernandes Macário. "Avaliação cefalométrica da intrusão de caninos pelo método de Ricketts : estudo com implantes metálicos /." Araraquara : [s.n.], 2004. http://hdl.handle.net/11449/95812.

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Orientador: Dirceu Barnabé Raveli<br>Banca: Mauricio Tatsuei Sakima<br>Banca: Helio Hissashi Terada<br>Resumo: Este estudo cefalométrico prospectivo foi desenvolvido com o propósito de descrever os resultados de uma das estratégias de intrusão de caninos. Foram selecionados 19 indivíduos, com faixa etária entre 11 e 15 anos, apresentando más-oclusões de Classe II, Divisão 1, com mordida profunda mínima de 4 milímetros. Desses, 9 indivíduos serviram como grupo controle e os outros 10 foram tratados inicialmente com a mecânica de intrusão da técnica de Ricketts (arco base). Foram colocados impla
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Terada, Hélio Hissashi. "Avaliação cefalométrica da correção da mordida profunda tratada pelo método de Ricketts - estudo com implantes metálicos /." Araraquara : [s.n.], 2001. http://hdl.handle.net/11449/104529.

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Orientador: Maurício Tatsuei Sakima<br>Banca: Ary dos Santos Pinto<br>Banca: Luiz Gonzaga Gandini Junior<br>Banca: Júlio de Araújo Gurgel<br>Banca: Arno Locks<br>Resumo: Este estudo cefalométrico prospectivo foi desenvolvido com o propósito de descrever os resultados de uma das estratégias de correção da mordida profunda. Foram selecionados 19 indivíduos, com faixa etária entre 11 e 15 anos, apresentando más-oclusões de Classe II, Divisão 1, com mordida profunda de no mínimo 4 milímetros. Desses, 9 indivíduos serviram como grupo controle e os outros 10 foram tratados com a mecânica de intrusão
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24

Abdallah, Tala. "Deep Learning for epileptic seizures detection." Electronic Thesis or Diss., Angers, 2024. http://www.theses.fr/2024ANGE0018.

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Cette thèse aborde la détection automatique des crises d’épilepsie. Des algorithmes d’intelligence artificielle adaptés aux déséquilibres entre les classes « crises » et « non-crises » ainsi qu’à la forte variabilité intersujets et inter-sites sont proposés. Deux principales contributions sont présentées. Tout d’abord, dans le domaine supervisé, un modèle hybride combinant des réseaux de neurones convolutifs et un réseau de neurones récurrents à mémoire (LSTM) est proposé, intégrant un mécanisme d’attention (AT). L’originalité de cette approche réside dans l’utilisation de la couche AT pour li
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25

Carrara, Igor. "Méthodes avancées de traitement des BCI-EEG pour améliorer la performance et la reproductibilité de la classification." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4033.

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L'électroencéphalographie (EEG) mesure de manière non invasive l'activité électrique du cerveau par le biais de champs électromagnétiques générés par l'activité synchronisée de millions de neurones. Cela permet de collecter des données temporelles multivariées qui constituent une trace de l'activité électrique du cerveau mesurée au niveau du cuir chevelu. À tout instant, les mesures enregistrées par ces capteurs sont des combinaisons linéaires des activités électriques provenant d'un ensemble de sources sous-jacentes situées dans le cortex cérébral. Ces sources interagissent entre elles selon
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Šťávová, Karolína. "Identifikace abnormálních EKG segmentů pomocí metody Multiple-Instance Learning." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442555.

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Heart arrhythmias are a very common heart disease whose incidence is rising. This thesis is focused on the detection of premature ventricular contractions from 12-lead ECG records by means of deep learning. The location of these arrhythmias (key instances) in the record was found using a technique based on Multiple-Instance Learning. In the theoretical part of the thesis, basic electrophysiology of the heart and deep learning with a focus on the convolutional neural networks are described. Afterward, a program was created using the Python programming language, which contains a model based on t
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PASTORE, ALDO. "PERCEPTION, PRODUCTION AND INTERACTION: A COMPREHENSIVE INVESTIGATION ON HUMAN SPEECH." Doctoral thesis, Università degli studi di Ferrara, 2022. http://hdl.handle.net/11392/2496487.

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In the present thesis, I focus on the three main approaches to speech research: perception, production, and interaction. Speech is a complex mechanism and it was originally considered as separated into two independent “streams”: the ventral stream for perception and the dorsal stream for production. In the dorsal stream, a central speech processing hub is represented by Broca’s area, whose role is still under investigation. Its crucial importance for speech production has been demonstrated by means of electrical stimulation, which induces the complete arrest of ongoing speech. During my work,
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Victorino, Cardoso Gabriel. "Generative models for ECG data : theory and application." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX022.

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Cette thèse apporte des contributions au vaste domaine des modèles génératifs, avec un intérêt particulier pour l'application de tels modèles aux données d'électrocardiogramme (ECG) dans le cadre de l'inférence et de la quantification de l'incertitude.Dans une première partie, nous développons deux méthodes novatrices pour réduire le biais dans les méthodes d'échantillonnage d'importance et de Monte Carlo séquentiel (SMC), qui sont deux outils importants de l'inférence bayésienne. Les algorithmes résultants peuvent être considérés tous deux comme des "enveloppes" autour d'algorithmes existants
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Vercher, Noguera Antonio. "British and Spanish measures to deal with terrorism : a comparative study, with some reference to the EEC framework." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.330131.

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Vieira, Fernando Mattiolli. "Os manuscritos do Mar Morto e a gênese do cristianismo /." Assis : [s.n.], 2008. http://hdl.handle.net/11449/93415.

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Orientador: Ivan Esperança Rocha<br>Banca: Paulo Augusto de Souza Nogueira<br>Banca: Andrea Lucia Dorini de Oliveira Carvalho Rossi<br>Resumo: Um jovem pastor beduíno sai à procura por um de seus animais perdido na região do deserto da Judéia, próximo às bordas do mar Morto, no ano de 1947. Quando ingenuamente joga uma pedra em uma fenda de um penhasco, ouve um barulho de jarro quebrando. Assim ocorreu a maior descoberta de textos antigos jamais feita até então - os Manuscritos do Mar Morto. Uma série de cavernas foi encontrada em seguida, das quais algumas também possuíam material manuscrito.
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Brochado, Sônia Maria Dechandt. "A apropriação da escrita por crianças surdas usuárias da língua de sinais brasileira /." Assis : [s.n.], 2003. http://hdl.handle.net/11449/102476.

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Orientador: Rony Farto Pereira<br>Banca: Ronice Müller de Quadros<br>Banca: Zilda Maria Gesueli<br>Banca: Jeane Mari Sant'Ana Spera<br>Banca: Nilse Margarida Carpentieri<br>Resumo: Este estudo enfoca a apropriação da escrita da Língua Portuguesa por crianças surdas, usuárias da Língua de Sinais Brasileira. Objetiva investigar o desempenho de informantes surdos em Língua Portuguesa, na modalidade escrita, como segunda língua, que tenham acesso através da primeira língua, a Língua de Sinais Brasileira. Para isto, selecionam-se, no Ensino Fundamental, crianças surdas, na faixa etária de 8 a 11 an
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Guidi, Erick Siqueira. "Desenvolvimento de um programa paramétrico para simulação do processo de estampagem utilizando elementos finitos /." Guaratinguetá : [s.n.], 2009. http://hdl.handle.net/11449/97039.

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Orientador: Fernando de Azevedo Silva<br>Banca: Angelo Caporalli Filho<br>Banca: Ricardo Risso Chaves<br>Resumo: Dentre os processos de conformação mecânica de metais por deformação plástica, a estampagem possui grande importância por possibilitar a obtenção de produtos de diversos formatos, semi-acabados ou acabados e com boas propriedades mecânicas. A simulação computacional utilizando o método dos elementos finitos apresentou um grande desenvolvimento na última década, hoje é uma importante ferramenta de análise de projetos. Neste trabalho é apresentada a elaboração de um arquivo paramétric
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Tófano, Viviane Alessandra Capelluppi. "Avaliação clínica e ultrassonografia tardia de pacientes com trombose venosa profunda, portadores de trombofilia /." Botucatu : [s.n.], 2008. http://hdl.handle.net/11449/103481.

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Orientador: Francisco Humberto de Abreu Maffei<br>Banca: Hamilton Almeida Rollo<br>Banca: Adilson F. Paschôa<br>Banca: Newton Key Hokama<br>Banca: Cyrillo C. Filho<br>Resumo: A trombose venosa profunda (TVP) caracteriza-se pela formação aguda de um trombo no interior das veias profundas. É uma doença de alta incidência e de grande importância clínica e epidemiológica devido à sua morbimortalidade, sendo atualmente, considerada multifatorial. São vários os fatores de risco genéticos e/ou adquiridos relacionados à TVP e a compreensão da interação destes, permite melhor entender esta doença, não
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Fayyazifar, Najmeh. "Deep learning and neural architecture search for cardiac arrhythmias classification." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2022. https://ro.ecu.edu.au/theses/2553.

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Cardiovascular disease (CVD) is the primary cause of mortality worldwide. Among people with CVD, cardiac arrhythmias (changes in the natural rhythm of the heart), are a leading cause of death. The clinical routine for arrhythmia diagnosis includes acquiring an electrocardiogram (ECG) and manually reviewing the ECG trace to identify the arrhythmias. However, due to the varying expertise level of clinicians, accurate diagnosis of arrhythmias with similar visual characteristics (that naturally exists in some different types of arrhythmias) can be challenging for some front-line clinicians. In add
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Myers, Andrew S. "Exploring the Synergistic Effect of Corn and Oat Fiber on Egg Albumin-Induced Reduction in Oil Absorption During Frying." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1314722156.

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Martins, Sandra Eli Sartoreto de Oliveira. "Formação de leitores surdos e a educação inclusiva /." Marília : [s.n.], 2005. http://hdl.handle.net/11449/102246.

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Orientador: Dagoberto Buim Arena<br>Banca: Maria Cecília Bonini Trenche<br>Banca: Tárcia Regina da Silva Dias<br>Banca: Anna Augusta Sampaio de Oliveira<br>Banca: Luci Pastor Manzoli<br>Resumo: As políticas de atendimento, na área da educação especial, quando inseridas no quadro das reformas de educação básica, enfrentam desafios para o atendimento escolar de alunos com necessidades especiais. Dentre as preocupações mais comuns dos profissionais envolvidos na escolarização dos surdos, destaca-se, no cenário da educação inclusiva, o ensino da leitura e da escrita. Ao considerar as especificidad
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Miani, Davide. "Implementazione di algoritmi di machine learning per la classificazione del movimento tramite segnali elettroencefalografici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17582/.

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I recenti sviluppi nel campo dell'intelligenza artificiale hanno permesso la decodifica del movimento tramite segnale EEG. È stato dimostrato come sia possibile ottenere ottime performance di classificazione fra più task motori impiegando tecniche di Machine Learning (ML) e di Deep Learning (DL), facendo uso per quest'ultime di reti neurali convoluzionali (Convolutional Neural Networks, CNN). Tuttavia, il gold standard per questo tipo di applicazioni rimane un algoritmo di ML, il Filter Bank Common Spatial Pattern (FBCSP) con classificazione tramite Linear Discriminant Analysis (LDA), anche se
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Budíková, Barbora. "Automatická detekce fibrilace síní pomocí metod hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413017.

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Atrial fibrillation is an arrhythmia commonly detected from ECG using its specific characteristics. An early detection of this arrhythmia is a key to prevention of more serious conditions. Nowadays, atrial fibrillation detection is being implemented more often using deep learning. This work presents detection of atrial fibrillation from 12lead ECG using deep convolutional network. In the first section, there is a theoretical context of this work, then there is a description of proposed algorithm. Detection is implemented by a program in Python in two variations and their accuracy is rated by A
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Matida, Caroline Kazue. "Trombose venosa profunda dos membros inferiores em crianças e adolescentes tratados em um único centro no Brasil : epidemiologia e evolução /." Botucatu : [s.n.], 2010. http://hdl.handle.net/11449/103480.

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Orientador: Francisco Humberto de Abreu Maffei<br>Banca: Hamilton de Almeida Rollo<br>Banca: José Roberto Fioretto<br>Banca: Fausto Miranda Junior<br>Banca: Jorge David Aivazoglou Carneiro<br>Resumo: A importância do estudo da trombose venosa profunda (TVP) em crianças e adolescentes reside no impacto desta doença sobre a qualidade de vida desta população, tendo em vista sua longa expectativa de vida e a morbidade associada ao tromboembolismo venoso. Com o passar dos anos, a síndrome pós-trombótica e a recorrência podem deixar sequelas que vão desde dor crônica nos membros, edema e até úlceras
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Zanghieri, Marcello. "sEMG-based hand gesture recognition with deep learning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18112/.

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Hand gesture recognition based on surface electromyographic (sEMG) signals is a promising approach for the development of Human-Machine Interfaces (HMIs) with a natural control, such as intuitive robot interfaces or poly-articulated prostheses. However, real-world applications are limited by reliability problems due to motion artifacts, postural and temporal variability, and sensor re-positioning. This master thesis is the first application of deep learning on the Unibo-INAIL dataset, the first public sEMG dataset exploring the variability between subjects, sessions and arm postures, by colle
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Santos, Junior Edson Benedito dos. "Convergência digital para apoio ao ensino de libras, com ênfase na web e no sistema brasileiro de tv digital /." São José do Rio Preto : [s.n.], 2011. http://hdl.handle.net/11449/98686.

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Resumo: Este trabalho apresenta uma proposta que visa contribuir com a crescente demanda de aprendizagem da Linguagem Brasileira de Sinais (LIBRAS), oficializada em 2002 (Decreto- Lei nº 10.436, de 24/04/2002). A intenção é apoiar o Decreto-Lei nº 10.436, que determina que todos os sistemas de ensino ofereçam, obrigatoriamente, uma educação bilíngüe (LIBRAS e Português), como direito aos alunos surdos. Adicionalmente, determina que o ensino de LIBRAS deva ser parte integrante dos currículos de todos os Cursos de Educação Especial, Fonoaudiologia e Magistério, em seu nível médio e superior. Con
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42

Yamasaki, Márcio Iuji. "Fabricação e caracterização metalográfica e mecânica de tiras de ligas metálicas fundidas e tixolaminadas no estado semi-sólido de diferentes intervalos de solidificação /." Ilha Solteira : [s.n.], 2008. http://hdl.handle.net/11449/94487.

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Orientador: Antônio de Pádua Lima Filho<br>Banca: João Batista Campos Silva<br>Banca: Alcides Padilha<br>Resumo: É apresentado um estudo experimental da laminação de tiras fundidas a partir do material semi-sólido obtido na calha de resfriamento que alimenta continuamente um laminador duo. Os cilindros do laminador estão posicionados horizontalmente e podem ser operados na velocidade de 0,25 m/s, 0,47 m/s, 0,73 m/s e 1,07 m/s. A velocidade de 0,25 m/s produziu uma tira de melhor qualidade. Ligas hipoeutéticas Pb/Sn (Pb-30%Sn, Pb-40%Sn, Pb-50%Sn) e próxima ao ponto eutético (Pb-63%Sn), respecti
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Riley, Jacob W. "Predation Pressure on Emergent Lake Trout Fry in Lake Champlain and Techniques for Assessing Lake Trout Reproduction in Deep-Water Habitats." ScholarWorks @ UVM, 2008. http://scholarworks.uvm.edu/graddis/195.

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Lake trout (Salvelinus namaycush) were extirpated from Lake Champlain around 1900 and from the lower four Great Lakes by 1960. Their ecological, commercial and recreational importance has prompted extensive restoration efforts. Despite widespread evidence of natural reproduction by stocked lake trout, there is minimal evidence of survival of wild progeny beyond age-0. Various abiotic and biotic impediments may be preventing self-sustaining lake trout populations from becoming established. Unsuccessful restoration in shallow areas has recently prompted a shift to restoration efforts to o
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Leme, Anna Paola Torrizi. "A aquisição da linguagem escrita pela criança surda no contexto da educação inclusiva /." Marília : [s.n.], 2010. http://hdl.handle.net/11449/91197.

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Orientador: Anna Augusta Sampaio de Oliveira<br>Banca: Cristina Broglia Feitosa de Lacerda<br>Banca: Dagoberto Buim Arena<br>Resumo: Para os autores da Teoria Histórico-Cultural, a constituição do sujeito é consolidada nas relações sociais, através dos processos de mediação instrumental e simbólica. Assim, a comunicação com o outro configura e estabelece a apropriação de signos e significados utilizados pelo homem. No entanto, a comunicação não se restringe a uma única forma ideal/padrão, mas se estende àquela que é utilizada com sentido e funcionalidade na comunidade e na qual o sujeito está
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Corradi, Juliane Adne Mesa. "Ambientes informacionais digitais e usuários surdos : questões de acessibilidade /." Marília : [s.n.], 2007. http://hdl.handle.net/11449/93697.

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Orientador: Silvana Aparecida Borsetti Gregorio Vidotti<br>Banca: Fernanda Maria Pereira Freire<br>Banca: Plácida Leopoldina Ventura Amorin da Costa Santos<br>Resumo: O campo da Ciência da Informação no âmbito das tecnologias de informação e comunicação tem contribuído para o desenvolvimento de interfaces acessíveis, que atendam diferentes comunidades de usuários e suas necessidades informacionais. Neste sentido, os processos de geração, tratamento e disseminação da informação devem focar o usuário e os sistemas que permitem a criação de interfaces favoráveis ao acesso e ao uso de conteúdos in
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46

Olsson, Sebastian. "Automated sleep scoring using unsupervised learning of meta-features." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189234.

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Sleep is an important part of life as it affects the performance of one's activities during all awake hours. The study of sleep and wakefulness is therefore of great interest, particularly to the clinical and medical fields where sleep disorders are diagnosed. When studying sleep, it is common to talk about different types, or stages, of sleep. A common task in sleep research is to determine the sleep stage of the sleeping subject as a function of time. This process is known as sleep stage scoring. In this study, I seek to determine whether there is any benefit to using unsupervised feature le
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47

Malina, Ondřej. "Detekce začátku a konce komplexu QRS s využitím hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442595.

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This thesis deals with the issue of automatic measurement of the duration of QRS complexes in ECG signals. Special emphasis is then placed on the possibility of automatic detection of QRS complexes while exciting cardiac tissue with a pacemaker. The content of this work is divided into four logical units, where the first part deals with the heart as an organ. It describes the origin and spread of excitement in the heart, its possible pathologies and their manifestations in ECG recording, it also deals with pacing and measuring ECG recording during simultaneous pacing. The second part of the th
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48

Залевський, Владислав Володимирович. "Система аналізу даних уявної кінематики тіла із використанням методів глибинного навчання". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/45447.

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Дипломна робота: 137 с., 13 табл., 32 рис., 2 додатки, 42 джерела. У роботі розглянуто та проаналізовано найбільш поширені методи та підходи глибинного навчання для аналізу даних ЕЕГ уявної кінематики тіла. Досліджено різні методи аугментації даних та попередньої обробки. Робота обраних для роботи методів була розглянута на практичній задачі, а саме класифікації уявних дій піддослідних. Об’єктом дослідження стали медичні показники (записи ЕЕГ) та їх значення для створення на основі даних уявної кінематики тіла нейрокомп’ютерних інтерфейсів здатних працювати в реальному часі.
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Mina, Faten. "Modèles biomathématiques des effets de la stimulation électrique directe et indirecte sur la dynamique neuronale : application à l'épilepsie." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00955489.

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Les effets de la stimulation électrique sur la dynamique des systèmes neuronaux épileptiques sont encore méconnus. L'objectif principal de cette thèse est de progresser dans la compréhension des effets attendus en fonction des paramètres de stimulation. Dans la première partie du manuscrit, un modèle mésoscopique (population neuronale) de la boucle thalamocorticale est proposé pour étudier en détails les effets de stimulation indirecte (thalamique), avec une attention particulière sur la fréquence. Des signaux EEG intracérébraux acquis chez un patient souffrant d'épilepsie pharmaco-résistante
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RANDAZZO, VINCENZO. "Novel neural approaches to data topology analysis and telemedicine." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2850610.

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