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Dissertations / Theses on the topic 'Kernel-based model'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Bose, Aishwarya. "Effective web service discovery using a combination of a semantic model and a data mining technique." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/26425/1/Aishwarya_Bose_Thesis.pdf.

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With the advent of Service Oriented Architecture, Web Services have gained tremendous popularity. Due to the availability of a large number of Web services, finding an appropriate Web service according to the requirement of the user is a challenge. This warrants the need to establish an effective and reliable process of Web service discovery. A considerable body of research has emerged to develop methods to improve the accuracy of Web service discovery to match the best service. The process of Web service discovery results in suggesting many individual services that partially fulfil the user’s

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2

Bose, Aishwarya. "Effective web service discovery using a combination of a semantic model and a data mining technique." Queensland University of Technology, 2008. http://eprints.qut.edu.au/26425/.

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With the advent of Service Oriented Architecture, Web Services have gained tremendous popularity. Due to the availability of a large number of Web services, finding an appropriate Web service according to the requirement of the user is a challenge. This warrants the need to establish an effective and reliable process of Web service discovery. A considerable body of research has emerged to develop methods to improve the accuracy of Web service discovery to match the best service. The process of Web service discovery results in suggesting many individual services that partially fulfil the user’s

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3

Zhang, Lin. "Semiparametric Bayesian Kernel Survival Model for Highly Correlated High-Dimensional Data." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/95040.

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We are living in an era in which many mysteries related to science, technologies and design can be answered by "learning" the huge amount of data accumulated over the past few decades. In the processes of those endeavors, highly-correlated high-dimensional data are frequently observed in many areas including predicting shelf life, controlling manufacturing processes, and identifying important pathways related with diseases. We define a "set" as a group of highly-correlated high-dimensional (HCHD) variables that possess a certain practical meaning or control a certain process, and define an "el

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4

Ozier-Lafontaine, Anthony. "Kernel-based testing and their application to single-cell data." Electronic Thesis or Diss., Ecole centrale de Nantes, 2023. http://www.theses.fr/2023ECDN0025.

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Les technologies de sequençage en cellule unique mesurent des informations à l’échelle de chaque cellule d’une population. Les données issues de ces technologies présentent de nombreux défis : beaucoup d’observations en grande dimension et souvent parcimonieuses. De nombreuses expériences de biologie consistent à comparer des conditions.L’objet de la thèse est de développer un ensemble d’outils qui compare des échantillons de données issues des technologies de séquençage en cellule unique afin de détecter et décrire les différences qui existent. Pour cela, nous proposons d’appliquer les tests

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5

Garg, Aditie. "Designing Reactive Power Control Rules for Smart Inverters using Machine Learning." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83558.

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Due to increasing penetration of solar power generation, distribution grids are facing a number of challenges. Frequent reverse active power flows can result in rapid fluctuations in voltage magnitudes. However, with the revised IEEE 1547 standard, smart inverters can actively control their reactive power injection to minimize voltage deviations and power losses in the grid. Reactive power control and globally optimal inverter coordination in real-time is computationally and communication-wise demanding, whereas the local Volt-VAR or Watt-VAR control rules are subpar for enhanced grid service

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6

TREVISO, FELIPE. "Modeling for the Computer-Aided Design of Long Interconnects." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973429.

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7

Kim, Byung-Jun. "Semiparametric and Nonparametric Methods for Complex Data." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99155.

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A variety of complex data has broadened in many research fields such as epidemiology, genomics, and analytical chemistry with the development of science, technologies, and design scheme over the past few decades. For example, in epidemiology, the matched case-crossover study design is used to investigate the association between the clustered binary outcomes of disease and a measurement error in covariate within a certain period by stratifying subjects' conditions. In genomics, high-correlated and high-dimensional(HCHD) data are required to identify important genes and their interaction effect

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8

Polajnar, Tamara. "Semantic models as metrics for kernel-based interaction identification." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/2260/.

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Automatic detection of protein-protein interactions (PPIs) in biomedical publications is vital for efficient biological research. It also presents a host of new challenges for pattern recognition methodologies, some of which will be addressed by the research in this thesis. Proteins are the principal method of communication within a cell; hence, this area of research is strongly motivated by the needs of biologists investigating sub-cellular functions of organisms, diseases, and treatments. These researchers rely on the collaborative efforts of the entire field and communicate through experime

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9

Lyubchyk, Leonid, Oleksy Galuza, and Galina Grinberg. "Ranking Model Real-Time Adaptation via Preference Learning Based on Dynamic Clustering." Thesis, ННК "IПСА" НТУУ "КПI iм. Iгоря Сiкорського", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36819.

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The proposed preference learning on clusters method allows to fully realizing the advantages of the kernel-based approach. While the dimension of the model is determined by a pre-selected number of clusters and its complexity do not grow with increasing number of observations. Thus real-time preference function identification algorithm based on training data stream includes successive estimates of cluster parameter as well as average cluster ranks updating and recurrent kernel-based nonparametric estimation of preference model.

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10

Vlachos, Dimitrios. "Novel algorithms in wireless CDMA systems for estimation and kernel based equalization." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7658.

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A powerful technique is presented for joint blind channel estimation and carrier offset method for code- division multiple access (CDMA) communication systems. The new technique combines singular value decomposition (SVD) analysis with carrier offset parameter. Current blind methods sustain a high computational complexity as they require the computation of a large SVD twice, and they are sensitive to accurate knowledge of the noise subspace rank. The proposed method overcomes both problems by computing the SVD only once. Extensive simulations using MatLab demonstrate the robustness of the prop

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11

Buch, Armin [Verfasser], and Gerhard [Akademischer Betreuer] Jäger. "Linguistic Spaces : Kernel-based models of natural language / Armin Buch ; Betreuer: Gerhard Jäger." Tübingen : Universitätsbibliothek Tübingen, 2011. http://d-nb.info/1161803572/34.

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12

Mahfouz, Sandy. "Kernel-based machine learning for tracking and environmental monitoring in wireless sensor networkds." Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0025/document.

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Cette thèse porte sur les problèmes de localisation et de surveillance de champ de gaz à l'aide de réseaux de capteurs sans fil. Nous nous intéressons d'abord à la géolocalisation des capteurs et au suivi de cibles. Nous proposons ainsi une approche exploitant la puissance des signaux échangés entre les capteurs et appliquant les méthodes à noyaux avec la technique de fingerprinting. Nous élaborons ensuite une méthode de suivi de cibles, en se basant sur l'approche de localisation proposée. Cette méthode permet d'améliorer la position estimée de la cible en tenant compte de ses accélérations,

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13

Zhai, Jing. "Efficient Exact Tests in Linear Mixed Models for Longitudinal Microbiome Studies." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/612412.

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Microbiome plays an important role in human health. The analysis of association between microbiome and clinical outcome has become an active direction in biostatistics research. Testing the microbiome effect on clinical phenotypes directly using operational taxonomic unit abundance data is a challenging problem due to the high dimensionality, non-normality and phylogenetic structure of the data. Most of the studies only focus on describing the change of microbe population that occur in patients who have the specific clinical condition. Instead, a statistical strategy utilizing distance-based o

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14

Funke, Benedikt [Verfasser], Jeannette H. C. [Akademischer Betreuer] Woerner, and Herold [Gutachter] Dehling. "Kernel based nonparametric coefficient estimation in diffusion models / Benedikt Funke. Betreuer: Jeannette H. C. Woerner. Gutachter: Herold Dehling." Dortmund : Universitätsbibliothek Dortmund, 2015. http://d-nb.info/1111103275/34.

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15

Strengbom, Kristoffer. "Mobile Services Based Traffic Modeling." Thesis, Linköpings universitet, Matematisk statistik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-116459.

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Traditionally, communication systems have been dominated by voice applications. Today with the emergence of smartphones, focus has shifted towards packet switched networks. The Internet provides a wide variety of services such as video streaming, web browsing, e-mail etc, and IP trac models are needed in all stages of product development, from early research to system tests. In this thesis, we propose a multi-level model of IP traffic where the user behavior and the actual IP traffic generated from different services are considered as being two independent random processes. The model is based

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16

Ahmed, Mohamed Salem. "Contribution à la statistique spatiale et l'analyse de données fonctionnelles." Thesis, Lille 3, 2017. http://www.theses.fr/2017LIL30047/document.

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Ce mémoire de thèse porte sur la statistique inférentielle des données spatiales et/ou fonctionnelles. En effet, nous nous sommes intéressés à l’estimation de paramètres inconnus de certains modèles à partir d’échantillons obtenus par un processus d’échantillonnage aléatoire ou non (stratifié), composés de variables indépendantes ou spatialement dépendantes.La spécificité des méthodes proposées réside dans le fait qu’elles tiennent compte de la nature de l’échantillon étudié (échantillon stratifié ou composé de données spatiales dépendantes).Tout d’abord, nous étudions des données à valeurs da

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17

Nguyen, Van Hanh. "Modèles de mélange semi-paramétriques et applications aux tests multiples." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00987035.

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Dans un contexte de test multiple, nous considérons un modèle de mélange semi-paramétrique avec deux composantes. Une composante est supposée connue et correspond à la distribution des p-valeurs sous hypothèse nulle avec probabilité a priori p. L'autre composante f est nonparamétrique et représente la distribution des p-valeurs sous l'hypothèse alternative. Le problème d'estimer les paramètres p et f du modèle apparaît dans les procédures de contrôle du taux de faux positifs (''false discovery rate'' ou FDR). Dans la première partie de cette dissertation, nous étudions l'estimation de la propo

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18

Jer-Fu, Liu, and 劉哲夫. "The Development of a Kernel for OODB Based on V-R Model." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/85060689060580327913.

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碩士<br>國立交通大學<br>資訊科學學系<br>83<br>V-R模型(V-R model)是一個物件導向資料庫(OODB)的概念模型，此模能夠滿足物件導向資料庫的基本需求，而且對於物件的管理和查詢處具有一些良好的特性，因此我們採用此模型來發展OODB的核心系統。A者，由於OODB的發展至目前為止，各項技術仍尚未完全成熟，因此希磏ォ悝畯怍珛o展的系統不僅能縮短資料庫的開發時間，更能用來研發M測試各種適合 OODB的製作技術，例如查詢處理，物件儲存器等相關研s。由於V-R模型只是一個概念模型，因此我們必須提出有效率的實作方k，並且設計一個完善的系統架構，才能據此架構發展出我們所需的系峞C我們所發展的系統允許物件身分的變換，因此在資料庫的使用上更膃蛣M性。而且使得物件的資料更具一致性，所以可以減少物件修改的x難。同時此系統可以提供良好的景象機制。最重要的是我們提供了一茯蒫oOODB的核心工具。最後為了測試這個核心系統，我們利用此系統o

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19

Hao, Pei-Yi, and 郝沛毅. "Fuzzy Decision Model Using Support Vector Learning — A Kernel Function Based Approach." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/18494175702000813535.

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博士<br>國立成功大學<br>資訊工程學系碩博士班<br>91<br>Support Vector Machines (SVMs) have been recently introduced as a new technique for solving pattern recognition problems. According to the theory of SVMs, while traditional techniques for pattern recognition are based on the minimization of the empirical risk, that is, on the attempt to optimize the performance on the training set, SVMs minimize the structural risk, that is, the probability of misclassifying yet-to-been-seen patterns for a fixed but unknown probability distribution of the data. Fuzziness must be considered in systems where human estimation

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20

Yang, Hsin-Yu, and 楊新宇. "Transformation Model for Interval Censoring with a Cured Subgroup by Kernel-based Estimation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/31888676456283846796.

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碩士<br>淡江大學<br>統計學系碩士班<br>103<br>As time progresses, continuous development, there are more and more interval censoring data with clinical trials. Sometimes, it is hard to observe the exact time of event, but we know the observed failure time falls within a time period. In this thesis, we consider mixture cure models for interval censored data with a cured subgroup, where subjects in this subgroup are not susceptible to the event of interest. We suppose logistic regression to estimate cure proportion. In addition, we consider semiparametric transformation models to analysis the event data. We

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21

Su, Shao-Zu, and 蘇少祖. "Using Kernel Smoothing Approaches Imporves the Parameter Estimation based on Generalized Partial Credit Model." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/75909558041762230547.

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碩士<br>國立臺中教育大學<br>教育測驗統計研究所<br>96<br>In this paper, a modified version of MMLE/EM is proposed. There are two modifications in the proposed algorithm. First, kernel density estimation technique is applied to estimate the distribution of ability parameter in E-step. Second, kernel density estimation technique is applied to estimate the item parameters and ability parameters with EAP in M-step. Finally, we use this methodology to estimate the ability and item parameters iteratively. This algorithm is named kernel smoothing - generalized partial credit model , KS-GPCM for short. In this paper, a s

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22

Zhang, Rui. "Model selection techniques for kernel-based regression analysis using information complexity measure and genetic algorithms." 2007. http://etd.utk.edu/2007/ZhangRui.pdf.

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23

Shun-Te, O., and 歐順德. "The Monte Carlo Simulation Study of The Hybrid Model of Generalized Hidden Markov Model and Kernel smoothing based Item Response Theory." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/02075678413122792655.

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碩士<br>亞洲大學<br>資訊工程學系碩士班<br>94<br>Item characteristic curve is the central concept of the item response theory, the accuracy of ICC estimation of IRT model that is unable to prove better or not with mathematical or statistical method or the logic rule. The main purpose of this study rely on simulation to compare the accuracy of ICC estimation of four IRT Models, i.e. three-parameter logistic IRT model, the hybrid model of GHMM and 2PL-IRT, kernel smoothing based IRT, the hybrid model of GHMM and kernel smoothing based IRT. Simulation utilized MATLAB software to develop programs and simulate t

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24

Liao, Wei-Chieh, and 廖偉捷. "Real-Time Surface Defect Inspection based on Single Kernel Multiple Threads Computing Model of Compute Unified Device Architecture." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/31581986489037776680.

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碩士<br>中原大學<br>機械工程研究所<br>101<br>Techniques of surface defect detection play an important role in the product quality control. Human visual inspection is time-consuming, error-prone, and labor intensive. Due to the rapid development in the fields of machine vision, image processing, and high performance computing, a variety of different applications can benefit from the combination of technologies in these fields. A primary industry application is the automatic surface defect detection. In the thesis, for objects with a large surface area, the CUDA (Compute Unified Device Architecture) technolo

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25

Nguyen, Quang Anh. "Advanced methods and extensions for kernel-based object tracking." Phd thesis, 2010. http://hdl.handle.net/1885/150670.

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In today's world, the rapid developments in computing technology have generated a great deal of interest in automated video analysis systems such as smart cars, video indexing services and advanced surveillance networks. Amongst those, object tracking research plays a pivotal role in providing an unobtrusive means to detect, track and alert the presence of the objects of interest in a given scene with little to no supervisor interaction. The application fields for object tracking can vary from smart vehicles, advanced surveillance networks to sport analysis and perceptual user interfaces. The

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26

Chun-Hsien, Lee. "Video Object Analysis Using Kernel-based Models and Spatiotemporal Similarity." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-2007200610102100.

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27

Lee, Chun-Hsien, and 李俊賢. "Video Object Analysis Using Kernel-based Models and Spatiotemporal Similarity." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/27362489915766268020.

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碩士<br>元智大學<br>電機工程學系<br>94<br>Video object segmentation plays an important role in many advanced application such as human-computer interaction, video surveillance, content-based video coding. In this paper we proposes a semantic video object segmentation system which combines spatiotemporal video segmentation and region tracking together to extract important semantic objects from videos. At beginning, the paper uses multiple cues to segment video frames to different regions. The cues include color, edges, motions, and kernel-based models. Since these features are complementary to each othe

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28

Konur, Savas, and Marian Gheorghe. "Proceedings of the Workshop on Membrane Computing, WMC 2016." 2016. http://hdl.handle.net/10454/8840.

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yes<br>This Workshop on Membrane Computing, at the Conference of Unconventional Computation and Natural Computation (UCNC), 12th July 2016, Manchester, UK, is the second event of this type after the Workshop at UCNC 2015 in Auckland, New Zealand*. Following the tradition of the 2015 Workshop the Proceedings are published as technical report. The Workshop consisted of one invited talk and six contributed presentations (three full papers and three extended abstracts) covering a broad spectrum of topics in Membrane Computing, from computational and complexity theory to formal verification

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29

Feng-XuLi and 李豐旭. "Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Gait Recognition." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/q2e8w3.

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碩士<br>國立成功大學<br>電機工程學系碩士在職專班<br>103<br>In this thesis, we propose a method to extract the human gait features from the surveillance video through Gabor wavelet transformation, and then we classify these features by kernel principle component analysis (PCA) with the fractional power polynomial model. Because human gait feature extraction can be categorized into spatial and temporal domain, we will discuss the gait features in these two domains. In order not to lose any information from the surveillance video, this thesis uses the spatial-temporal silhouette of the people walking in the surveill

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Huang, Jhu-Yun, and 黃筑妘. "Liver Segmentation by Kernel-Based Deformable Shape Models in 3D medical Images." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/55967093346722649181.

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31

Vicente, Sergio. "Apprentissage statistique avec le processus ponctuel déterminantal." Thesis, 2021. http://hdl.handle.net/1866/25249.

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Cette thèse aborde le processus ponctuel déterminantal, un modèle probabiliste qui capture la répulsion entre les points d’un certain espace. Celle-ci est déterminée par une matrice de similarité, la matrice noyau du processus, qui spécifie quels points sont les plus similaires et donc moins susceptibles de figurer dans un même sous-ensemble. Contrairement à la sélection aléatoire uniforme, ce processus ponctuel privilégie les sous-ensembles qui contiennent des points diversifiés et hétérogènes. La notion de diversité acquiert une importante grandissante au sein de sciences comme la méde

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32

Tang, X., Qichun Zhang, X. Dai, and Y. Zou. "Neural membrane mutual coupling characterisation using entropy-based iterative learning identification." 2020. http://hdl.handle.net/10454/18180.

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Yes<br>This paper investigates the interaction phenomena of the coupled axons while the mutual coupling factor is presented as a pairwise description. Based on the Hodgkin-Huxley model and the coupling factor matrix, the membrane potentials of the coupled myelinated/unmyelinated axons are quantified which implies that the neural coupling can be characterised by the presented coupling factor. Meanwhile the equivalent electric circuit is supplied to illustrate the physical meaning of this extended model. In order to estimate the coupling factor, a data-based iterative learning identificatio

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