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Dissertations / Theses on the topic 'Multilayered network'

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Published: 4 June 2025

Last updated: 1 August 2025

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1

Viljoen, Nadia M. "Quantifying supply chain vulnerability using a multilayered complex network perspective." Thesis, University of Pretoria, 2018. http://hdl.handle.net/2263/63990.

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Today's supply chains face increasing volatility on many fronts. From the shop-floor where machines break and suppliers fail to the boardrooms where unanticipated price inflation erodes profi tability. Turbulence is the new normal. To remain competitive and weather these (daily) storms, supply chains need to move away from an effi ciency mindset towards a resilience mindset. For over a little more than a decade industry and academia have awakened to this reality. Academic literature and case studies show that there is no longer a shortage of resilience strategies and designs. Unfortunately,

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2

Srivastava, Atul Carleton University Dissertation Management Studies. "Identifying stock winners and losers; a multilayered artificial neural network approach." Ottawa, 1996.

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3

Aram, Michael, and Gustaf Neumann. "Multilayered analysis of co-development of business information systems." Springer London, 2015. http://dx.doi.org/10.1186/s13174-015-0030-8.

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Business information systems (BIS) comprise technological (e.g. programs), informational (e.g. content) and social artifacts (e.g. collaboration structures). Typically, such systems are constantly and collectively developed (co-developed) further by a variety of individuals within the organization. By recognizing these varying types of actors (concerning their goals, technical expertise and language means) and their predominantly developed artifact type, one can distinguish two types of subsystems: technical subsystems wherein the development of the system behavior is conducted by software dev

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4

Larsson, Marcus, and Christoffer Möckelind. "The effects of Deep Belief Network pre-training of a Multilayered perceptron under varied labeled data conditions." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187374.

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Sometimes finding labeled data for machine learning tasks is difficult. This is a problem for purely supervised models like the Multilayered perceptron(MLP). A Discriminative Deep Belief Network(DDBN) is a semi-supervised model that is able to use both labeled and unlabeled data. This research aimed to move towards a rule of thumb of when it is beneficial to use a DDBN instead of an MLP, given the proportions of labeled and unlabeled data. Several trials with different amount of labels, from the MNIST and Rectangles-Images datasets, were conducted to compare the two models. It was found that f

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Ellerbrock, Thomas M. "Multilayer neural networks learnability, network generation, and network simplification /." [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=958467897.

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6

Hultin, Alex. "Sustaining interdisciplinary research : a multilayer perspective." Thesis, University of Bath, 2018. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767571.

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Interdisciplinary Research (IDR) has received a lot of attention from academics, policy-makers, and decision-makers alike. RCUK invests £3 billion in research grants each year (RCUK 2017); half of the grants are provided to investigators who hail from different departments. There is mounting awareness of the challenges facing IDR, and a large body of literature trying to establish how IDR can be analysed (Davidson 2015, Yegros-Yegros, Rafols et al. 2015). Of these, the majority have been qualitative studies and it has been noticed that there is a distinct lack of quantitative studies that can

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Darabi, Sahneh Faryad. "Spreading processes over multilayer and interconnected networks." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18179.

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Doctor of Philosophy<br>Department of Electrical and Computer Engineering<br>Caterina Scoglio<br>Society increasingly depends on networks for almost every aspect of daily life. Over the past decade, network science has flourished tremendously in understanding, designing, and utilizing networks. Particularly, network science has shed light on the role of the underlying network topology on the dynamic behavior of complex systems, including cascading failure in power-grids, financial contagions in trade market, synchronization, spread of social opinion and trends, product adoption and market pene

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Catanese, Salvatore Amato. "New perspectives in criminal network analysis: multilayer networks, time evolution, and visualization." Doctoral thesis, Università di Catania, 2017. http://hdl.handle.net/10761/3793.

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The work presented in this Dissertation reflects a long-term human, professional and cultural path started some years ago when I first developed LogAnalysis, a tool for the analysis and visualization of criminal and social networks. Since then, I devoted myself to the development of frameworks, algorithms and techniques for supporting intelligence and law enforcement agencies in the task of unveiling the CN structure hidden in communication data, identifying the target offenders for their removal or selecting effective strategies to disrupt a criminal organization. In a natural way, I successi

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Afsarmanesh, Tehrani Nazanin. "Clustering Multilayer Networks." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-279745.

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Detecting community structure is an important methodology to study complex networks. Community detection methods can be divided into two main categories: partitioning methods and overlapping clustering methods. In partitioning methods, each node can belong to at most one community while overlapping clustering methods allow communities with overlapping nodes as well. Community detection is not only a problem in single networks today, but also in multilayer networks where several networks with the same participants are considered at the same time. In recent years, several methods have been propo

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Pekkanen, Peter, and David Söderman. "Network Hardening of Multilayer Switch." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54674.

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In today’s computer networking and industrial networking, security holds a significant role in keeping the entire network safe from malicious users or attackers from remote locations. Using vulnerability scanners and a port scanner it is possible to detect vulnerabilities on the network equipment before an attacker finds the vulnerability and exploits it. In this thesis network hardening has been conducted through a case study on a multilayer switch, with the intent to discover vulnerabilities related to gaining unauthorized access to the device during operation. The tools included in this pro

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Molva, Refik. "Conception et realisation d'un observateur d'architectures multicouches dans les reseaux d'ordinateurs." Toulouse 3, 1986. http://www.theses.fr/1986TOU30207.

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Presentation des techniques de vérification dans un système distribue. Définition d'une technique de test basée sur le concept de l'observateur. Réalisation d'un outil d'observation de protocoles sur le réseau local industriel factor et sur le système de communication de la direction opérationnelle des telecommunications

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Masih, Lawrence. "Associative recall in multilayered logical neural networks." Thesis, Brunel University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235933.

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Kallioras, Panagiotis. "Diffusion Through Multilayer Networks." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-251289.

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Population of earth is increasing rapidly, generating more and more situations which allow us to study the mechanisms behind humans. Previous studies have found evidence of important network effects. When network effects are present, the value of a product or service is dependent on the number of others using them; however there is a lack of empirical research concerning them. The goal of this thesis is to examine and analyze such networks and try through a simulation model of a diffusion process to identify the determinant that can predict the result. We investigate these networks in terms of

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Benigni, Matthew Curran. "Detection and Analysis of Online Extremist Communities." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/949.

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Online social networks have become a powerful venue for political activism. In many cases large, insular online communities form that have been shown to be powerful diffusion mechanisms of both misinformation and propaganda. In some cases these groups users advocate actions or policies that could be construed as extreme along nearly any distribution of opinion, and are thus called Online Extremist Communities (OECs). Although these communities appear increasingly common, little is known about how these groups form or the methods used to influence them. The work in this thesis provides research

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Fan, Futing. "Improving GEMFsim: a stochastic simulator for the generalized epidemic modeling framework." Kansas State University, 2016. http://hdl.handle.net/2097/34564.

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Master of Science<br>Department of Electrical and Computer Engineering<br>Caterina M. Scoglio<br>The generalized epidemic modeling framework simulator (GEMFsim) is a tool designed by Dr. Faryad Sahneh, former PhD student in the NetSE group. GEMFsim simulates stochastic spreading process over complex networks. It was first introduced in Dr. Sahneh’s doctoral dissertation "Spreading processes over multilayer and interconnected networks" and implemented in Matlab. As limited by Matlab language, this implementation typically solves only small networks; the slow simulation speed is unable to genera

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Parandehgheibi, Marzieh. "Survivable paths in multilayer networks." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/72646.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 75-77).<br>We consider the problem of protection in multilayer networks. In single-layer net- works, a pair of disjoint paths

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Pavan, Claunir. "Dimensioning of multilayer optical networks." Doctoral thesis, Universidade de Aveiro, 2007. http://hdl.handle.net/10773/3722.

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Doutoramento em Engenharia Electrónica<br>Este trabalho apresenta um estudo sobre o dimensionamento de redes ópticas, com vistas a obter um modelo de dimensionamento para redes de transporte sobreviventes. No estudo utilizou-se uma abordagem estatística em detrimento à determinística. Inicialmente, apresentam-se as principais tecnologias e diferentes arquitecturas utilizadas nas redes ópticas de transporte. Bem como os principais esquemas de sobrevivência e modos de transporte. São identificadas variáveis necessárias e apresenta-se um modelo dimensionamento para redes de transporte,

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Rapisardi, Giacomo. "Critical Phenomena in Multilayer Networks." Thesis, IMT Alti Studi Lucca, 2019. http://e-theses.imtlucca.it/268/1/Rapisardi_phdthesis.pdf.

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Network science has provided a set of powerful theoretical results for the description of critical phenomena in complex systems. These represent fundamental tools for the design and control of real networked systems with concrete and practical applications. Many of these results have been, however, formulated in the framework of independent networks, i.e., closed systems that do not interact with nor depend on other networks. This is a weak hypothesis because in the realworld networks cannot be considered as independent entities. For instance, critical infrastructure are very often and i

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Phongphanphanee, Chai. "Multilayer mobile communication systems." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324001.

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Pérez, Vela Alba. "Bringing cognition to multilayer transport networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/663902.

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Operator’s transport networks are becoming increasingly more complex due to the large number of network layers needed to support the ever increasing number of new services (e.g., video-on-demand, social media, on-line gaming, or video and voice calls) with stringent requirements like very low latency and high throughput, as well as the number of users of those services. As a result, innovative approaches for operating the networks is mandatory in order to fulfill those tight requirements, while reducing costs. The main objective of this PhD thesis is improving network operation by introducing

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Leong, Cheok Fan. "Approximation theory of multilayer feedforward artificial neural network." Thesis, University of Macau, 2002. http://umaclib3.umac.mo/record=b1446728.

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Sporea, Ioana. "Supervised learning in multilayer spiking neural networks." Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.576119.

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In this thesis, a new supervised learning algorithm for multilayer spik- ing neural networks is presented. Gradient descent learning algo- rithms have led traditional neural networks with multiple layers to be one of the most powerful and flexible computational models derived from artificial neural networks. However, more recent experimental evidence suggests that biological neural systems use the exact time of single action potentials to encode information. These findings have led to a new way of simulating neural networks based on temporal en- coding with single spikes. Analytical demonstrat

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Li, Dong. "Active modules identification in multilayer intracellular networks." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8036/.

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The network analysis has become a basic tool to gain insights on evolution and organization of living organisms in computational system biology. Since a group of genes may get involved into a biological process other than act alone, identifying modules from biological networks has been a central challenge to this field in the past decade. Several representative methods have been proposed to search such important modules using different intuitions while no unified framework exists yet, especially for multilayer networks, which can model gene expression dynamics and species conservation. This th

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Auld, Thomas James. "Bayesian applications of multilayer perceptron neural networks." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613209.

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Taktak, Raouia. "Survavibility in Multilayer Networks : models and Polyhedra." Thesis, Paris 9, 2013. http://www.theses.fr/2013PA090076/document.

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Dans cette thèse, nous nous intéressons à un problème de fiabilité dans les réseaux multicouches IP-sur-WDM. Etant donné un ensemble de demandes pour lesquelles on connaît une topologie fiable dans la couche IP, le problème consiste à sécuriser la couche optique WDM en y cherchant une topologie fiable. Nous montrons que le problème est NP-complet même dans le cas d'une seule demande. Ensuite, nous proposons quatre formulations en termes de programmes linéaires en nombres entiers pour le problème. La première est basée sur les contraintes de coupes. Nous considérons le polyèdre associé. Nous id

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Fischer, Manfred M., and Sucharita Gopal. "Neural Network Models and Interregional Telephone Traffic. Comparative Performance Comparisons between Multilayer Feedforward Networks and the Conventional Spatial Interaction Model." WU Vienna University of Economics and Business, 1992. http://epub.wu.ac.at/4206/1/WSG_DP_2792.pdf.

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Wrzodek, Clemens [Verfasser]. "Inference and integration of biochemical networks with multilayered omics data / Clemens Wrzodek." München : Verlag Dr. Hut, 2013. http://d-nb.info/1042307652/34.

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Autenrieth, Achim. "Differentiated resilience in IP-based multilayer transport networks." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969343159.

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Morais, Rui Manuel Dias. "Planning and dimensioning of multilayer optical transport networks." Doctoral thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/14094.

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Doutoramento em Engenharia Eletrotécnica<br>This thesis presents a study on the planning of multilayer optical transport networks considering the various hardware implementation constraints. Optimization methods for the various stages of the network planning are proposed, namely physical topologies design, and green eld and multi-period nodes dimensioning. The developed methods rely on integer linear programming models (ILP), heuristic algorithms and statistical methods. Initially, the enabling technologies and the di erent node architectures usually employed in multilayer optical trans

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Di, Stefano Alessandro. "Evolutionary Dynamics of Social Behaviours on Multilayer Networks." Doctoral thesis, Università di Catania, 2015. http://hdl.handle.net/10761/3848.

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Nature shows as human beings live and grow inside social structures. This assumption allows explaining and exploring how it may shape most of our behaviours and choices, and why we are not just blindly driven by instincts: our decisions are based on more complex cognitive reasons, based on our connectedness on di erent spaces. Thus, human cooperation emerges from this complex nature of social network. One of the main aims of my Ph.D. dissertation is to explore how and why it happens, hence the work is mainly focused on studying the evolutionary dynamics of cooperation and social behaviours on

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Gao, Zhenning. "Parallel and Distributed Implementation of A Multilayer Perceptron Neural Network on A Wireless Sensor Network." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1383764269.

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Waseem, Athar, and A. H. M. Sadath Hossain. "MIMO Channel Equalization and Symbol Detection using Multilayer Neural Network." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2345.

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In recent years Multiple Input Multiple Output (MIMO) systems have been employed in wireless communication systems to reach the goals of high data rate. A MIMO use multiple antennas at both transmitting and receiving ends. These antennas communicate with each other on the same frequency band and help in linearly increasing the channel capacity. Due to the multi paths wireless channels face the problem of channel fading which cause Inter Symbol Interference (ISI). Each channel path has an independent path delay, independent path loss or path gain and phase shift, cause deformations in a signal

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Pasqual, Michael C. "Multilayer network modeling of change propagation for engineering change management." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62481.

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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 141-143).<br>Engineering change management is a critical and challenging process within product development. One pervasive source of difficulty for this process is the phenomenon of change propagation, by which a change to one part or element of a design requires additional chan

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Goosen, Johannes Christiaan. "Comparing generalized additive neural networks with multilayer perceptrons / Johannes Christiaan Goosen." Thesis, North-West University, 2011. http://hdl.handle.net/10394/5552.

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In this dissertation, generalized additive neural networks (GANNs) and multilayer perceptrons (MLPs) are studied and compared as prediction techniques. MLPs are the most widely used type of artificial neural network (ANN), but are considered black boxes with regard to interpretability. There is currently no simple a priori method to determine the number of hidden neurons in each of the hidden layers of ANNs. Guidelines exist that are either heuristic or based on simulations that are derived from limited experiments. A modified version of the neural network construction with cross–validation sa

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Bazzi, Marya. "Community structure in temporal multilayer networks, and its application to financial correlation networks." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:c3f6aa78-904c-4d10-97f3-ae56bb1f574a.

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Many real-world applications in the social, biological, and physical sciences involve large systems of entities that interact together in some way. The number of components in these systems can be extremely large, so some simplification is typically needed for tractable analysis. A common representation of interacting entities is a network. In its simplest form, a network consists of a set of nodes that represent entities and a set of edges between pairs of nodes that represent interactions between those entities. In this thesis, we investigate clustering techniques for time-dependent networks

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Bentley, Barry. "Connectomics of extrasynaptic signalling : applications to the nervous system of Caenorhabditis elegans." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/270033.

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Connectomics – the study of neural connectivity – is primarily concerned with the mapping and characterisation of wired synaptic links; however, it is well established that long-distance chemical signalling via extrasynaptic volume transmission is also critical to brain function. As these interactions are not visible in the physical structure of the nervous system, current approaches to connectomics are unable to capture them. This work addresses the problem of missing extrasynaptic interactions by demonstrating for the first time that whole-animal volume transmission networks can be mapped fr

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Nikolayev, Maksym. "Contribution to the enhancement of the efficiency of IP-over-WDM networks by evaluating and attaining the limits of multilayer network planning." Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0022/document.

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La quantité de données devant être transportée via les réseaux de cœur croit de près de 25% par an. Pour maîtriser les coûts, les différentes couches du réseau doivent mettre des informations en commun pour inclure de plus en plus de paramètres lors du dimensionnement du réseau. Cela s’appelle « dimensionnement multicouche ». Nous étudions le dimensionnement multicouche de réseaux statiques composés de deux couches utilisant la commutation en mode circuit (typiquement IP-sur-WDM). Nous proposons un modèle semi-analytique expliquant le comportement des algorithmes responsables de l’agrégation e

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Nikolayev, Maksym. "Contribution to the enhancement of the efficiency of IP-over-WDM networks by evaluating and attaining the limits of multilayer network planning." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0022.

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La quantité de données devant être transportée via les réseaux de cœur croit de près de 25% par an. Pour maîtriser les coûts, les différentes couches du réseau doivent mettre des informations en commun pour inclure de plus en plus de paramètres lors du dimensionnement du réseau. Cela s’appelle « dimensionnement multicouche ». Nous étudions le dimensionnement multicouche de réseaux statiques composés de deux couches utilisant la commutation en mode circuit (typiquement IP-sur-WDM). Nous proposons un modèle semi-analytique expliquant le comportement des algorithmes responsables de l’agrégation e

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Davila, Carlos Antonio. "Image super-resolution performance of multilayer feedforward neural networks." Diss., The University of Arizona, 1999. http://hdl.handle.net/10150/284549.

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Super-resolution is the process by which the bandwidth of a diffraction-limited spectrum is extended beyond the optical passband. Many algorithms exist which are capable of super-resolution; however most are iterative methods, which are ill-suited for real-time operation. One approach that has been virtually ignored in super-resolution research is the neural network approach. The Hopfield network has been a popular choice in image restoration applications, however it is also an iterative approach. We consider the feedforward architecture known as a Multilayer Perceptron (MLP), and present resu

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Yang, Hui. "A hybrid multilayer error control technique for multihop ATM networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ64067.pdf.

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Presigny, Charley. "Characterization of multilayer networks : theory and applications to the brain." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS273.

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La science des réseaux constitue désormais un cadre fondamental pour l'étude des systèmes complexes et la modélisation du déluge de données permanent dans pratiquement tous les domaines. Les réseaux multicouches ont contribué à révolutionner l'étude des systèmes caractérisés par des échelles/niveaux multiples, c'est-à-dire des couches d'interactions. Ces modèles montrent des corrélations topologiques inattendues, des propriétés de robustesse et de synchronisation, pour n'en citer que quelques-unes. Historiquement, les réseaux multicouches ont tiré parti de leurs avantages comparés aux réseaux

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Bigos, Wojciech Cezary. "Optimized modeling and design of multilayer IP over optical transport network architectures." Rennes 1, 2006. http://www.theses.fr/2006REN1S026.

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Cette étude concerne certains aspects de la planification optimisée des réseaux IP sur Optique qui permettent d'améliorer l'utilisation des ressources du réseau et de réduire son coût global. La planification des réseaux IP sur Optique est mise en oeuvre comme un problème d'optimisation en prenant en compte les aspects suivants: (i) la sécurisation du réseau contre les pannes, (ii) la gestion de la bande passante optique basée sur diverses méthodes de routage et (iii) l'agrégation du trafic des utilisateurs pour son transport de bout en bout dans la couche optique. Ces aspects sont en rapport

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DeJean, Gerald Reuben. "Design of compact antennas in multilayer technology for wireless communications : WLAN applications." Available online, Georgia Institute of Technology, 2005, 2004. http://etd.gatech.edu/theses/available/etd-12092004-162859/unrestricted/dejean%5Fgerald%5Fr%5F200505%5Fmast.pdf.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2005.<br>Joy Laskar, Committee Member ; Manos Tentzeris, Committee Member ; John Papapolymerou, Committee Chair. Includes bibliographical references.

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Walz, Andrew R. "A multilayer network approach to quantifying biologically-derived systematic risk in biomedical finance." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107356.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 100-106).<br>Sharply rising disease prevalence and associated healthcare costs are placing an increasingly significant economic burden on society. Biomedical research and industry have struggled to adequately address this challenge, as evidenced by the stagnation and even decline of new therapeutics development success rates.

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FICARA, Annamaria. "Social network analysis approaches to study crime." Doctoral thesis, Università degli Studi di Palermo, 2022. http://hdl.handle.net/10447/537005.

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Social Network Analysis (SNA) studies groups of individuals and can be applied in a lot of areas such us organizational studies, psychology, economics, information science and criminology. One of the most important results of SNA has been the definition of a set of centrality measures (e.g., degree, closeness, betweenness, or clustering coefficient) which can be used to identify the most influential people with respect to their network of relationships. The main problem with computing centrality metrics on social networks is the typical big size of the data. From the computational point o

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Cocchini, Matteo. "Via transition modeling and charge replenishment of the power delivery network in multilayer PCBs." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2008. http://scholarsmine.mst.edu/thesis/pdf/Cocchini_09007dcc805051ee.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2008.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed May 27, 2008) Includes bibliographical references.

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Teichmann, Michael. "A plastic multilayer network of the early visual system inspired by the neocortical circuit." Universitätsverlag der Technischen Universität Chemnitz, 2018. https://monarch.qucosa.de/id/qucosa%3A31832.

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The ability of the visual system for object recognition is remarkable. A better understanding of its processing would lead to better computer vision systems and could improve our understanding of the underlying principles which produce intelligence. We propose a computational model of the visual areas V1 and V2, implementing a rich connectivity inspired by the neocortical circuit. We combined the three most important cortical plasticity mechanisms. 1) Hebbian synaptic plasticity to learn the synapse strengths of excitatory and inhibitory neurons, including trace learning to learn invariant rep

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Spina, Michelle S. (Michelle Suzanne). "Application of multilayer feedforward neural networks to precipitation cell-top altitude estimation." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/37752.

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Albarakati, Noor. "FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2740.

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Classification is one-out-of several applications in the neural network (NN) world. Multilayer perceptron (MLP) is the common neural network architecture which is used for classification tasks. It is famous for its error back propagation (EBP) algorithm, which opened the new way for solving classification problems given a set of empirical data. In the thesis, we performed experiments by using three different NN structures in order to find the best MLP neural network structure for performing the nonlinear classification of multiclass data sets. A developed learning algorithm used here is the ba

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Octavian, Stan. "New recursive algorithms for training feedforward multilayer perceptrons." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/13534.

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