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Dissertations / Theses on the topic 'Connectivity Methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 September 2022

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1

Wheland, David Stanford. "Signal processing methods for brain connectivity." Thesis, University of Southern California, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3610033.

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<p> Although the human brain has been studied for centuries, and the advent of non-invasive brain imaging modalities in the last century in particular has led to significant advances, there is much left to discover. Current neuroscientific theory likens the brain to a highly interconnected network whose behavior can be better understood by determining its network connections. Correlation, coherence, Granger causality, and blind source separation (BSS) are frequently used to infer this connectivity. Here I propose novel methods to improve their inference from neuroimaging data. Correlation and

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2

Burns, Gully Alexander Peter Carey. "Neural connectivity of the rat : theory, methods and applications." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390480.

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Arslan, Salim. "Connectivity-driven parcellation methods for the human cerebral cortex." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/54760.

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The macro connectome elucidates the pathways through which brain regions are structurally connected or functionally coupled to perform cognitive functions. It embodies the notion of representing, analysing, and understanding all connections within the brain as a network, while the subdivision of the brain into interacting cortical units is inherent in its architecture. As a result, the definition of network nodes is one of the most critical steps in connectivity network analysis. Parcellations derived from anatomical brain atlases or random parcellations are traditionally used for node identif

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4

Wang, Xu. "Investigation of methods for determination of Wireless Node's Cluster Connectivity." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-24988.

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Recent advancement in wireless communications and electronics has enabled the development of sensor networks. With development in technology, wireless sensor network is used more and more in our daily life, because the technology is more flexible and cheaper than the wired sensor network. The objective of this study has been to solve the problem that how closely a group of mobile wireless nodes are clustered. Matlab is used to simulate the various situations of nodes. There are two major parts in this software design. One is the function of detecting the movement of the mouse. Another is the f

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Masud, Mohammad Shahed. "New statistical methods to derive functional connectivity from multiple spike trains." Thesis, University of Plymouth, 2011. http://hdl.handle.net/10026.1/547.

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Analysis of functional connectivity of simultaneously recorded multiple spike trains is one of the major issues in the neuroscience. The progress of the statistical methods to the analysis of functional connectivity of multiple spike trains is relatively slow. In this thesis two statistical techniques are presented to the analysis of functional connectivity of multiple spike trains. The first method is known as the modified correlation grid (MCG). This method is based on the calculation of cross-correlation function of all possible pair-wise spike trains. The second technique is known as the C

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Ibarguen, Siri B. "Population connectivity combining methods for estimating avian dispersal and migratory linkages /." Columbus, Ohio : Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1079979416.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 143 p.; also includes graphics. Includes abstract and vita. Advisor: Thomas A. Waite, Dept. of Evolution, Ecology, and Organismal Biology. Includes bibliographical references (p. 135-143).

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Repper-Day, Christopher. "Mapping dynamic brain connectivity using EEG, TMS, and Transfer Entropy." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/mapping-dynamic-brain-connectivity-using-eeg-tms-and-transfer-entropy(27a55697-1b4f-40e0-8d07-0a53d3e67a24).html.

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To understand how the brain functions, we must investigate the transient interactions that underpin communication between cortical regions. EEG possesses the optimal temporal resolution to capture functional connectivity, but it lacks the spatial resolution to identify the cortical locations responsible. To circumvent this problem electrophysiological connectivity should be investigated at the source level. There are many quantifiers of connectivity applied to EEG data, but some are not sensitive to the direct, or indirect, influence of one region over another, and others require the specifica

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8

Deng, Hai. "Identifying Calcium-Binding Sites and Predicting Disulfide Connectivity." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_diss/21.

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Most questions in proteomics require complex answers. Yet graph theory, supervised learning, and statistical model have decomposed complex questions into simple questions with simple answers. The expertise in the field of protein study often address tasks that demand answers as complex as the questions. Such complex answers may consist of multiple factors that must be weighed against each other to arrive at a globally satisfactory and consistent solution to the question. In the prediction of calcium binding in proteins, we construct a global oxygen contact graph of a protein, then apply a gra

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9

Chiang, Joyce Hsien-yin. "Cortico-cortical and cortico-muscular connectivity analysis : methods and application to Parkinson's disease." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42126.

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The concept of brain connectivity provides a new perspective to the understanding of the mechanism underlying brain functions, complementing the traditional approach of analyzing neural activity of isolated regions. Among the existing connectivity analysis techniques, multivariate autoregressive (mAR)-based measures are of great interest for their ability to characterize both directionality and spectral property of cortical interactions. Yet, the direct estimation of mAR-based connectivity from scalp electroencephalogram (EEG) is confounded by volume conduction, statistical instability and int

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10

Kim, Yongwook Bryce. "Comparison of data-driven analysis methods for identification of functional connectivity in fMRI." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43036.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>Includes bibliographical references (p. 97-103).<br>Data-driven analysis methods, such as independent component analysis (ICA) and clustering, have found a fruitful application in the analysis of functional magnetic resonance imaging (fMRI) data for identifying functionally connected brain networks. Unlike the traditional regression-based hypothesis-driven analysis methods, the principal advantage of data-driven methods is their applicability to experimental paradigms in the abs

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11

Creaney-Stockton, Mary Jo. "Isolated word recognition using reduced connectivity neural networks with non-linear time alignment methods." Thesis, University of Newcastle Upon Tyne, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244333.

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12

Toppi, Jlenia <1984&gt. "Methods for the estimation of the cortical activity and connectivity during cognitive tasks in humans." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5271/.

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The research activity characterizing the present thesis was mainly centered on the design, development and validation of methodologies for the estimation of stationary and time-varying connectivity between different regions of the human brain during specific complex cognitive tasks. Such activity involved two main aspects: i) the development of a stable, consistent and reproducible procedure for functional connectivity estimation with a high impact on neuroscience field and ii) its application to real data from healthy volunteers eliciting specific cognitive processes (attention and memory).

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13

Yamashita, Ayumu. "Functional magnetic resonance imaging-based methods for translational research of psychiatric disorders." Kyoto University, 2019. http://hdl.handle.net/2433/242444.

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14

Figueira, Cláudia Alexandra Rodrigues Marques. "Comparison of different methods to detect genetic barriers in a small mammal population." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/15871.

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Mestrado em Ecologia Aplicada<br>Habitat fragmentation and the consequently the loss of connectivity between populations can reduce the individuals interchange and gene flow, increasing the chances of inbreeding, and the increase the risk of local extinction. Landscape genetics is providing more and better tools to identify genetic barriers.. To our knowledge, no comparison of methods in terms of consistency has been made with observed data and species with low dispersal ability. The aim of this study is to examine the consistency of the results of five methods to detect barriers to gene flow

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15

Colclough, Giles. "Methods for modelling human functional brain networks with MEG and fMRI." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:ef1dc66e-f142-4cdc-8177-5d040c94b964.

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MEG and fMRI offer complementary insights into connected human brain function. Evidence from the use of both techniques in the study of networked activity indicates that functional connectivity reflects almost every measurable aspect of human reality, being indicative of ability and deteriorating with disease. Functional network analyses may offer improved prediction of dysfunction and characterisation of cognition. Three factors holding back progress are the difficulty in synthesising information from multiple imaging modalities; a need for accurate modelling of connectivity in individual sub

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Várkuti, Bálint [Verfasser], and Niels [Akademischer Betreuer] Birbaumer. "Revealing the Webs.Insights from the exploitation of complementary information from various magnetic resonance imaging related connectivity methods / Bálint Várkuti ; Betreuer: Niels Birbaumer." Tübingen : Universitätsbibliothek Tübingen, 2011. http://d-nb.info/116173516X/34.

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Farahibozorg, Seyedehrezvan. "Uncovering dynamic semantic networks in the brain using novel approaches for EEG/MEG connectome reconstruction." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/278024.

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The current thesis addresses some of the unresolved predictions of recent models of the semantic brain system, such as the hub-and-spokes model. In particular, we tackle different aspects of the hypothesis that a widespread network of interacting heteromodal (hub(s)) and unimodal (spokes) cortices underlie semantic cognition. For this purpose, we use connectivity analyses, measures of graph theory and permutation-based statistics with source reconstructed Electro-/MagnetoEncephaloGraphy (EEG/MEG) data in order to track dynamic modulations of activity and connectivity within the semantic networ

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18

Pfeffer, Katharina. "Formal Verification of a LTE Security Protocol for Dual-Connectivity : An Evaluation of Automatic Model Checking Tools." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-148047.

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Security protocols are ubiquitously used in various applications with the intention to ensure secure and private communication. To achieve this goal, a mechanism offering reliable and systematic protocol verification is needed. Accordingly, a major interest in academic research on formal methods for protocol analysis has been apparent for the last two decades. Such methods formalize the operational semantics of a protocol, laying the base for protocol verification with automatic model checking tools. So far, little work in this field has focused on protocol standardization. Within this thesis

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19

Shahbazi, Avarvand Forooz Verfasser], Klaus-Robert [Akademischer Betreuer] [Gutachter] [Müller, Guido [Gutachter] Nolte, and Andreas [Gutachter] Daffertshofer. "New methods for analysis of source localization and brain connectivity : towards invariance against volume conduction artifacts / Forooz Shahbazi Avarvand ; Gutachter: Klaus-Robert Müller, Guido Nolte, Andreas Daffertshofer ; Betreuer: Klaus-Robert Müller." Berlin : Technische Universität Berlin, 2016. http://d-nb.info/1156186161/34.

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Shahbazi, Avarvand Forooz [Verfasser], Klaus-Robert [Akademischer Betreuer] [Gutachter] Müller, Guido [Gutachter] Nolte, and Andreas [Gutachter] Daffertshofer. "New methods for analysis of source localization and brain connectivity : towards invariance against volume conduction artifacts / Forooz Shahbazi Avarvand ; Gutachter: Klaus-Robert Müller, Guido Nolte, Andreas Daffertshofer ; Betreuer: Klaus-Robert Müller." Berlin : Technische Universität Berlin, 2016. http://d-nb.info/1156186161/34.

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21

Bader, El Dine Kamil. "Uterine synchronization analysis during pregnancy and labor using graph theory, classification based on machine learning." Thesis, Compiègne, 2022. http://www.theses.fr/2022COMP2680.

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L'objectif global de cette thèse est d'étudier le phénomène de la propagation de l'activité électrique utérine par une approche basée sur la théorie de graphe. La première étape dans cette thèse est de trouver de nouveaux paramètres extraits des graphes qui conviennent pour représenter les évolutions physio-pathologiques de l'utérus. Ces paramètres seront testés directement sur les signaux EHG enregistrés au niveau de l'abdomen puis au niveau des sources identifiées à partir des EHG. Cette analyse sera appliquée sur le signal EHG i) globalement (en utilisant toute la contraction) et ii) dynami

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22

Lemaréchal, Jean-Didier. "Estimation des propriétés dynamiques des réseaux cérébraux à large échelle par modèles de masse neurale de potentiels évoqués cortico-corticaux Comparison of two integration methods for dynamic causal modeling of electrophysiological data. NeuroImage An atlas of neural parameters based on dynamic causal modeling of cortico-cortical evoked potentials." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALS007.

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Ce travail de thèse porte sur la modélisation des potentiels évoqués cortico-corticaux (PECCs) induits par stimulation électrique intracérébrale lors de procédures de chirurgie de l’épilepsie en stéréo-électroencéphalographie. Nous utilisons pour cela des modèles de masse neurale de type modèles causaux dynamiques (Dynamic causal modeling, DCM).Dans un premier temps, nous démontrons l'importance d'utiliser une technique d'intégration précise pour résoudre le système d'équations différentielles formalisant la dynamique du modèle (Lemaréchal et al., 2018), en particulier pour une estimation préc

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23

Limnios, Stratis. "Graph Degeneracy Studies for Advanced Learning Methods on Graphs and Theoretical Results Edge degeneracy: Algorithmic and structural results Degeneracy Hierarchy Generator and Efficient Connectivity Degeneracy Algorithm A Degeneracy Framework for Graph Similarity Hcore-Init: Neural Network Initialization based on Graph Degeneracy." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX038.

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L'extraction de sous-structures significatives a toujours été un élément clé de l’étude des graphes. Dans le cadre de l'apprentissage automatique, supervisé ou non, ainsi que dans l'analyse théorique des graphes, trouver des décompositions spécifiques et des sous-graphes denses est primordial dans de nombreuses applications comme entre autres la biologie ou les réseaux sociaux.Dans cette thèse, nous cherchons à étudier la dégénérescence de graphe, en partant d'un point de vue théorique, et en nous appuyant sur nos résultats pour trouver les décompositions les plus adaptées aux tâches à accompl

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Gorbach, Nico Stephan. "Unsupervised connectivity-based cortex parcellation using the information bottleneck method." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/10537.

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In this dissertation, we embody an information-theoretic framework to compress and therefore cluster anatomical connectivity data that avoids many assumptions and drawbacks imposed by previous methods.

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Pombo, Maíra. "The Atlantic Ghost Crab Ocypode quadrata (Decapoda: Ocypodidae) as bioindicator of sandy beaches: assessment of the influence of environmental, behavioral and population factors." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/21/21134/tde-03062015-144544/.

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The populations of the ghost-crab Ocypode quadrata have been evaluated as bioindicators at sandy beaches, but for this purpose some shortcomings need to be addressed. This study assessed several features of the species biology, from daily activity cycles to effectively its role as bioindicator. Between that, the occupation of burrows was evaluated at several morphodymically distinct beaches and it differed temporally, among the areas and within beach strata, indicating that assessing these populations through the indirect method require more caution. The period of the year after major cold fro

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Iucolano, Donna M. "HYPERCONNECTIVITY GIVETH AND TAKETH AWAY: RECONCILING BEING AN “ALWAYS-ON” EMPOWERED CONSUMER AND PRIVACY IN AN ERA OF PERVASIVE PERSONAL DATA EXCHANGES." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1554468526463455.

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27

Zahran, Saeed. "Source localization and connectivity analysis of uterine activity." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2469.

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La technique d'EHGI permet une reconstruction non invasive du potentiel électrique à la surface de l’utérus à partir du potentiel électrique mesuré à la surface du corps et des données anatomiques du torse. L’EHGI fournit des informations très précieuses sur l'état de l’utérus car il est capable de fournir une description spatiale raffinée de la voie et de l’amplitude des ondes électriques à la surface de l'utérus. Cela peut aider beaucoup dans différentes interventions cliniques. Les algorithmes scientifiques derrière tout outil EHGI sont capables de prétraiter les données anatomiques du pati

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Penley, Drace Robert. "Multi-Layer Connectivity-Based Atom Contribution Method for Charge Assignments in Metal-Organic Frameworks (MOFs)." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555599813789541.

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Anisi, David A. "On Cooperative Surveillance, Online Trajectory Planning and Observer Based Control." Doctoral thesis, KTH, Optimeringslära och systemteori, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9990.

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The main body of this thesis consists of six appended papers. In the first two, different cooperative surveillance problems are considered. The second two consider different aspects of the trajectory planning problem, while the last two deal with observer design for mobile robotic and Euler-Lagrange systems respectively.In Papers A and B, a combinatorial optimization based framework to cooperative surveillance missions using multiple Unmanned Ground Vehicles (UGVs) is proposed. In particular, Paper A considers the the Minimum Time UGV Surveillance Problem (MTUSP) while Paper B treats the C

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Gaznick, Natassia Veranya. "The role of the striatum in impulsivity and self-awareness : neuropsychological and functional neuroimaging approaches." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1603.

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Complex cognitive functions require interactions within and between different brain regions by direct anatomical connections or synchronous activation. As such, damage to any region involved in a cognitive process has the potential to affect its function. Impulsivity is a multifaceted construct that, when dysfunctional, contributes to many psychiatric conditions. The striatum has been implicated as an integral part of the neural circuitry of impulsivity. The current work aims to contribute to the understanding of neural dysfunction underlying disorders of impulsivity by examining how striatal

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Rajaei, Hoda. "Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3882.

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Assessing complex brain activity as a function of the type of epilepsy and in the context of the 3D source of seizure onset remains a critical and challenging endeavor. In this dissertation, we tried to extract the attributes of the epileptic brain by looking at the modular interactions from scalp electroencephalography (EEG). A classification algorithm is proposed for the connectivity-based separation of interictal epileptic EEG from normal. Connectivity patterns of interictal epileptic discharges were investigated in different types of epilepsy, and the relation between patterns and the epil

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Gélin, Pauline. "Délimitation d'espèces et connectivité chez les coraux du genre Pocillopora dans l'Indo-Pacifique." Thesis, La Réunion, 2016. http://www.theses.fr/2016LARE0041/document.

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Ce travail de thèse porte sur la connectivité des populations de coraux du genre Pocillopora dans le Sud-Ouest de l'océan Indien et l'océan Pacifique tropical. Ces coraux sont répartis sur toute la frange tropicale des océans Indien et Pacifique. Traditionnellement, les espèces étaient identifiées sur la base critères morphologies [17 espèces décrites dans Veron (2000)]. Différentes études utilisant des données génétiques ont révélé que la délimitation des espèces était parfois floue chez ces coraux. Ainsi, au cours de ce travail, l'utilisation de méthodes de délimitation d'espèces à partir d'

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Grover, Benjamin Todd. "Surfacing Splicing: A Method of Quadrilateral Mesh Generation and Modification for Surfaces by Dual Creation and Manipulation." BYU ScholarsArchive, 2002. https://scholarsarchive.byu.edu/etd/3457.

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The effective generation high quality quadrilateral surface meshes is an area of important research and development for the finite element community. Quadrilateral elements generally lead to more efficient and accurate finite results. In addition, some all hexahedral volume meshing algorithms are based on an initial quadrilateral mesh surface mesh that has specific connectivity requirements. This thesis presents a new and unique procedure named "Surfaced Splicing". Surface Splicing allows for the generation of all quadrilateral surface meshes as well as the ability to edit these meshes via the

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Schreiber, Jan-Michael [Verfasser], Jens [Akademischer Betreuer] Haueisen, Thomas [Gutachter] Knösche, and Maxime [Gutachter] Descoteaux. "Plausibility Tracking : A method to evaluate anatomical connectivity and microstructural properties along fiber pathways / Jan-Michael Schreiber ; Gutachter: Thomas Knösche, Maxime Descoteaux ; Betreuer: Jens Haueisen." Ilmenau : TU Ilmenau, 2014. http://d-nb.info/1178180662/34.

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Termenon, Conde Maite. "Analyse par graphes de la connectivité fonctionnelle de repos par IRM : vers de nouveaux biomarqueurs de la récupération fonctionnelle dans l'AVC." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAS023/document.

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Montagud, Aquino Arnau. "Modelling and analysis of biological systems to obtain biofuels." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/17319.

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Esta tesis se centra en la construcción y usos de los modelos metabólicos a escala genómica para obtener biocombustibles de manera eficiente, como etanol e hidrógeno. Como organismo objetivo, se ha elegido a la cianobacteria Synechocystis sp. PCC6803. Este organismo ha sido estudiado como una potencial plataforma de producción alimentada por fotones, dada su capacidad de crecer solamente a partir de dióxido de carbono y fotones. Esta tesis versa acerca de los métodos para modelar, analizar, estimar y predecir el comportamiento del metabolismo de las células. La principal meta es extraer conoci

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Nikitchenko, Maxim V. "Inference of functional neural connectivity and convergence acceleration methods." Thesis, 2013. https://doi.org/10.7916/D80008F5.

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The knowledge of the maps of neuronal interactions is key for system neuroscience, but at the moment we possess relatively little of it . The recent development of experimental methods which allow a simultaneous recording of the spiking activity, but not the intracellular voltage, of thousands of neurons gives us an opportunity to start filling that gap. In Chapter 2, I present a method for the inference of the parameters of the leaky integrate-and-fire (LIF) model featuring time-dependent currents and conductances based only on the extracellular recording of spiking in the network. The fitted

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He, Jian-Yi, and 何建毅. "Heuristic methods to determine the rainbow connectivity of a graph." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/42229136466344243077.

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碩士<br>國立高雄應用科技大學<br>資訊工程系<br>103<br>Let G be an edge-colored graph. If G has non-repetitive colors on at least one path between any two distinct nodes, G is called rainbow connected. We used Genetic Algorithm to find the smallest possible rainbow connection colors. Using graph characteristics, we developed a heuristic method to search quickly for rainbow connected paths, and to determine whether G is rainbow connected. We also limit the minimum number of colors in the paths. The latter is named k’-constraint rainbow connection. The method essentially follows the branch-and-bound approach, whic

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Lacerda, Luís Miguel Rosa Sousa Prado de. "HARDI Methods: tractography reconstructions and automatic parcellation of brain connectivity." Master's thesis, 2012. http://hdl.handle.net/10451/7944.

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Tese de mestrado integrado em Engenharia Biomédica e Biofísica (Radiações em Diagnóstico e Terapia), apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2012<br>A neuroanatomia humana tem sido objecto de estudo científico desde que surgiu o interesse na organização do corpo humano e nas suas funções, quer como um todo quer através das partes que o constituem. Para atingir este fim, as autópsias foram a primeira forma de revelar algum conhecimento, o qual tem vindo a ser catalogado e sistematizado à medida que a medicina evolui. Passando por novas técnicas de conservação e t

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Mongerson, Chandler Rebecca Lee. "Probing resting-state functional connectivity in the infant brain: methods and potentiality." Thesis, 2017. https://hdl.handle.net/2144/23837.

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Early brain development is characterized by rapid growth and perpetual reconfiguration, driven by a dynamic milieu of heterogeneous processes. Moreover, potent postnatal brain plasticity engenders increased vulnerability to environmental stimuli. However, little is known regarding the ontogeny and temporal manifestations of inter- and intra-regional functional connectivity that comprise functional brain networks. Recently, resting-state functional magnetic resonance imaging (fMRI) emerged as a promising non-invasive neuroinvestigative tool, measuring spontaneous fluctuations in blood oxygen le

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Zhang, Yue. "Methods in intelligent transportation systems exploiting vehicle connectivity, autonomy and roadway data." Thesis, 2019. https://hdl.handle.net/2144/38203.

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Intelligent transportation systems involve a variety of information and control systems methodologies, from cooperative systems which aim at traffic flow optimization by means of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, to information fusion from multiple traffic sensing modalities. This thesis aims to address three problems in intelligent transportation systems, one in optimal control of connected automated vehicles, one in discrete-event and hybrid traffic simulation model, and one in sensing and classifying roadway obstacles in smart cities. The first s

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Al-Yousef, Ali Abdallah. "Investigating statistical techniques to infer interwell connectivity from production and injection rate fluctuations." Thesis, 2006. http://hdl.handle.net/2152/2456.

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Witt, Suzanne T. "A comparison of computational methods to calculate effective connectivity from FMRI time series data." 2008. http://www.library.wisc.edu/databases/connect/dissertations.html.

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Rana, Kunjan Dinesh. "Time-varying functional connectivity and dynamic neurofeedback with MEG: methods and applications to visual perception." Thesis, 2017. https://hdl.handle.net/2144/27050.

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Cognitive function involves the interplay of functionally-separate regions of the human brain. Of critical importance to neuroscience research is to accurately measure the activity and communication between these regions. The MEG imaging modality is well-suited to capturing functional cortical communication due to its high temporal resolution, on the millisecond scale. However, localizing the sources of cortical activity from the sensor measurements is an ill-posed problem, where different solutions trade-off between spatial accuracy, correcting for linear mixing of cortical signals, and compu

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Jakobsen, Estrid. "Sub-dividing Broca's region based on functional connectivity: New methods for individual-level in vivo cortical parcellation." Doctoral thesis, 2016. https://ul.qucosa.de/id/qucosa%3A15703.

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Kudela, Maria Aleksandra. "Statistical methods for high-dimensional data with complex correlation structure applied to the brain dynamic functional connectivity studyDY." Diss., 2017. http://hdl.handle.net/1805/12835.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>A popular non-invasive brain activity measurement method is based on the functional magnetic resonance imaging (fMRI). Such data are frequently used to study functional connectivity (FC) defined as statistical association among two or more anatomically distinct fMRI signals (Friston, 1994). FC has emerged in recent years as a valuable tool for providing a deeper understanding of neurodegenerative diseases and neuropsychiatric disorders, such as Alzheimer's disease and autism. Information about complex association structure in hig

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Qasim, Bukhari Syed. "NETWORK ANALYSIS AND MULTIVARIATE PATTERN RECOGNITION METHODS TO STUDY DRUG EFFECTS ON FUNCTIONAL CONNECTIVITY IN MICE BASED ON RESTING STATE fMRI." Doctoral thesis, 2018. http://hdl.handle.net/10316/81114.

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Ramazanova, Rahila. "Sequence stratigraphic interpretation methods for low-accommodation, alluvial depositional sequences: applications to reservoir characterization of Cut Bank field, Montana." 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1127.

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In South Central Cut Bank Sand Unit (SCCBSU) of Cut Bank field, primary production and waterflood projects have resulted in recovery of only 29 % of the original oil in place from heterogeneous, fluvial sandstone deposits. Using highresolution sequence stratigraphy and geostatistical analysis, I developed a geologic model that may improve the ultimate recovery of oil from this field. In this study, I assessed sequence stratigraphic concepts for continental settings and extended the techniques to analyze low-accommodation alluvial systems of the Cut Bank and Sunburst members of the lower Kooten

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Lei, Cheng-Lin, and 雷政霖. "A Scalable Distributed Method for Community Detection based on Connectivity Evaluation." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/44844949950209401454.

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碩士<br>國立中正大學<br>資訊工程研究所<br>104<br>For community detection, modularity is a widely-used objective function. A partition result which has high modularity score represents a partitioning that it may be similar to real community structures hidden in the network. Many algorithms based on modularity maximization are proposed. The performance of these algorithms usually have high accuracy on small networks. However, they are not suitable to be applied on large-scale networks which have more than ten thousand nodes. In order to solve the community detection problem on a large-scale network in an effic

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Ching-Chang, Chou, and 周靖昌. "Critical Power for Asymptotic Connectivity in Random Networks via the Chen-Stein Method." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/20752759899091123593.

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