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Relevant bibliographies by topics / Network Dependency Analysis / Dissertations / Theses

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Dissertations / Theses on the topic 'Network Dependency Analysis'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Fu, Yi. "Differential Dependency Network and Data Integration for Detecting Network Rewiring and Biomarkers." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96634.

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Rapid advances in high-throughput molecular profiling techniques enabled large-scale genomics, transcriptomics, and proteomics-based biomedical studies, generating an enormous amount of multi-omics data. Processing and summarizing multi-omics data, modeling interactions among biomolecules, and detecting condition-specific dysregulation using multi-omics data are some of the most important yet challenging analytics tasks. In the case of detecting somatic DNA copy number aberrations using bulk tumor samples in cancer research, normal cell contamination becomes one significant confounding factor

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2

Gotthard, Arvid, and Zino Kader. "Vulnerability Analysis of the Dependency Network of JavaScript and Typescript Projects on GitHub." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301841.

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The ecosystem of JavaScript (JS) and TypeScript (TS) packages is heavily reliant on Open Source Software (OSS) provided without any guarantees. This poses inherent risks to dependents, one of which being stagnation of their dependencies. We investigated developer contribution data as well as the structure of the dependency network of GitHub- hosted JS and TS projects in order to learn whether the ecosystem is vulnerable to project stagnation. The data was partly acquired from available aggregated data sources, in conjunction with additional data collected using a highly optimized web- scraper.

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Arnesson, Malin. "A business network analysis of the Botswana tourism industry : – Putting local ground operators relationships with foreign tour operators in the centre." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35900.

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Purpose: This study aims to (1) describe and analyse the local ground operator’s role in the network of the Botswana tourism industry, (2) to investigate what factors characterize and influence their relationships with foreign tour operators, as well as (3) to provide implications for improving these relations. Methodology: This study has been conducted as a case study, where the empirical data was collected during a two months field trip to Botswana. A qualitative research method, and a deductive approach has been used. Five semi-structured interviews were conducted with ground operators to g

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4

Kurita, Shuhei. "Neural Approaches for Syntactic and Semantic Analysis." Kyoto University, 2019. http://hdl.handle.net/2433/242436.

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5

Andersson, Karl. "Mapping out dependencies in network components in critical infrastructure." Thesis, Linköpings universitet, Programvara och system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143981.

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Companies that operate with critical infrastructure face a growing threat from cyber-attacks while at the same time the development in the business is rapidly moving towards a higher level of digitalization. A common type of system in critical infrastructure is supervisory control and data acquisition systems, these systems have properties that can affect their security and will therefore serve as the basis for this thesis work. To stay protected despite systems changes, companies need to make risk assessments in order to analyze how changes will affect the overall system. One thing that is im

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Namoobe, Choolwe Chisuta. "An analysis of accessibility to grocery stores by walking and cycling. : A comparative study of Ålidhem, Tomtebo, Carlshem and Sofiehem neighbourhoods in Umeå using ArcGIS Network Dataset." Thesis, Umeå universitet, Kulturgeografi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-151871.

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Accessibility is a gateway to accessing opportunities or service sites, i.e., grocery shopping, healthcare and jobs and it has been used as a proxy to measure inequalities. The equity, in travel time or distance, to accessing of these services is vital to ensure high accessibility hence providing equality. Population increase leading to urban sprawl affects accessibility in the absence of prudent residential spatial planning and transport systems and infrastructure. Urban sprawl creates a distance between populations and centres of services such as grocery stores. This promotes the growth of c

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Coufal, Zdeněk. "Korelace dat na vstupu a výstupu sítě Tor." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-235412.

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Communication in public networks based on the IP protocol is not really anonymous because it is possible to determine the source and destination IP address of each packet. Users who want to be anonymous are forced to use anonymization networks, such as Tor. In case such a user is target of lawful interception, it presents a problem for those systems because they only see that the user communicated with anonymization network and have a suspicion that the data stream at the output of anonymization network belong to the same user. The aim of this master thesis was to design a correlation method t

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8

Liu, Jian. "Fractal Network Traffic Analysis with Applications." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11477.

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Today, the Internet is growing exponentially, with traffic statistics that mathematically exhibit fractal characteristics: self-similarity and long-range dependence. With these properties, data traffic shows high peak-to-average bandwidth ratios and causes networks inefficient. These problems make it difficult to predict, quantify, and control data traffic. In this thesis, two analytical methods are used to study fractal network traffic. They are second-order self-similarity analysis and multifractal analysis. First, self-similarity is an adaptability of traffic in networks. Many factors are

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9

Chin, Ke-Tsai Edward. "Networks of queues with state-dependent flows." Diss., Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/25419.

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10

Roxbo, Daniel. "A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156831.

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The use of Long Short Term Memory (LSTM) networks continues to yield better results in natural language processing tasks. One area which recently has seen significant improvements is semantic dependency parsing, where the current state-of-the-art model uses a multilayer LSTM combined with an attention-based scoring function to predict the dependencies. In this thesis the state of the art model is first replicated and then extended to include features based on syntactical trees, which was found to be useful in a similar model. In addition, the effect of part-of-speech tags is studied. The repli

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11

Jin, Lu. "Building Matlab Standalone Package from Java for Differential Dependence Network Analysis Bioinformatics Toolkit." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/33488.

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This thesis reports a software development effort to transplant Matlab algorithm into a Matlab license-free, platform dependent Java based software. The result is almost equivalent to a direct translation of Matlab source codes into Java or any other programming languages. Since compiled library is platform dependent, an MCR (Matlab Compiler Runtime environment) is required and has been developed to deploy the transplanted algorithm to end user. As the result, the implemented MCR is free to distribution and the streamline transplantation process is much simpler and more reliable than manually

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12

Wu, Yanghui. "Problem dependent metaheuristic performance in Bayesian network structure learning." Thesis, Robert Gordon University, 2012. http://hdl.handle.net/10059/790.

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Bayesian network (BN) structure learning from data has been an active research area in the machine learning field in recent decades. Much of the research has considered BN structure learning as an optimization problem. However, the finding of optimal BN from data is NP-hard. This fact has driven the use of heuristic algorithms for solving this kind of problem. Amajor recent focus in BN structure learning is on search and score algorithms. In these algorithms, a scoring function is introduced and a heuristic search algorithm is used to evaluate each network with respect to the training data. Th

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13

Großmann, Arndt. "Assembly and analysis of a comprehensive phosphotyrosine-dependent protein-protein interaction network." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17475.

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Protein-Protein-Wechselwirkungen steuern zelluläre Funktionen auf molekularer Ebene. Posttranslationale Proteinmodifikationen beeinflussen diese Wechselwirkungen und erlauben dynamische Regulierung. Tyrosinphosphorylierung ist eine besonders relevante Modifikation, weil sie eng mit interzellulärer Regulation von Wachstum und Enticklung in Vielzellern verbunden ist. Da falsche Regulierung dieser Prozesse zu Krebs oder Autoimmunerkrankungen führen kann, ist sie auch von großem medizinischen Interesse. In Hefe-Zwei-Hybrid- Untersuchungen mit Volllängen-Proteinen im Genommaßstab wurde ein umfassen

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Lebre, Sophie. "Stochastic process analysis for Genomics and Dynamic Bayesian Networks inference." Phd thesis, Université d'Evry-Val d'Essonne, 2007. http://tel.archives-ouvertes.fr/tel-00260250.

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This thesis is dedicated to the development of statistical and computational methods for the analysis of DNA sequences and gene expression time series.<br /><br />First we study a parsimonious Markov model called Mixture Transition Distribution (MTD) model which is a mixture of Markovian transitions. The overly high number of constraints on the parameters of this model hampers the formulation of an analytical expression of the Maximum Likelihood Estimate (MLE). We propose to approach the MLE thanks to an EM algorithm. After comparing the performance of this algorithm to results from the litter

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Xu, Xingbai Xu. "Asymptotic Analysis for Nonlinear Spatial and Network Econometric Models." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461249529.

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Schaefer, Juliane. "Small-Sample Analysis and Inference of Networked Dependency Structures from Complex Genomic Data." Diss., lmu, 2006. http://nbn-resolving.de/urn:nbn:de:bvb:19-52294.

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17

Fares, Rasha H. A. "Performance modelling and analysis of congestion control mechanisms for communication networks with quality of service constraints. An investigation into new methods of controlling congestion and mean delay in communication networks with both short range dependent and long range dependent traffic." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5435.

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Active Queue Management (AQM) schemes are used for ensuring the Quality of Service (QoS) in telecommunication networks. However, they are sensitive to parameter settings and have weaknesses in detecting and controlling congestion under dynamically changing network situations. Another drawback for the AQM algorithms is that they have been applied only on the Markovian models which are considered as Short Range Dependent (SRD) traffic models. However, traffic measurements from communication networks have shown that network traffic can exhibit self-similar as well as Long Range Dependent (LRD) pr

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Barthel, Alexander. "Analysis, Implementation and Enhancement of Vendor dependent and independent Layer-2 Network Topology Discovery." Master's thesis, Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200500455.

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This work shows and implements possibilities of OSI Layer-2 Network Topology Discovery based on information from Cisco Discovery Protocol, Spanning Tree Protocol and Switches' Filtering Databases<br>Diese Arbeit zeigt und implementiert Möglichkeiten zur OSI Layer-2 Netzwerk Topologie Erkennung basierend auf Informationen des Cisco Discovery Protocol, Spanning Tree Protocol und Switch Filter Datenbanken

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Fares, Rasha Hamed Abdel Moaty. "Performance modelling and analysis of congestion control mechanisms for communication networks with quality of service constraints : an investigation into new methods of controlling congestion and mean delay in communication networks with both short range dependent and long range dependent traffic." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5435.

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Active Queue Management (AQM) schemes are used for ensuring the Quality of Service (QoS) in telecommunication networks. However, they are sensitive to parameter settings and have weaknesses in detecting and controlling congestion under dynamically changing network situations. Another drawback for the AQM algorithms is that they have been applied only on the Markovian models which are considered as Short Range Dependent (SRD) traffic models. However, traffic measurements from communication networks have shown that network traffic can exhibit self-similar as well as Long Range Dependent (LRD) pr

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20

Emig, Dorothea [Verfasser], and Mario [Akademischer Betreuer] Albrecht. "Novel analysis approaches to context-dependent molecular networks / Dorothea Emig. Betreuer: Mario Albrecht." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2011. http://d-nb.info/1051056055/34.

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Herberg, Maria, Tüzer Kalkan, Ingmar Glauche, Austin Smith, and Ingo Roeder. "A Model-Based Analysis of Culture-Dependent Phenotypes of mESCs." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-147356.

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Mouse embryonic stem cells (mESCs) can be maintained in a proliferative and undifferentiated state over many passages (self-renewal) while retaining the potential to give rise to every cell type of the organism (pluripotency). Autocrine FGF4/Erk signalling has been identified as a major stimulus for fate decisions and lineage commitment in these cells. Recent findings on serum-free culture conditions with specific inhibitors (known as 2i) demonstrate that the inhibition of this pathway reduces transcription factor heterogeneity and is vital to maintain ground state pluripotency of mESCs. We su

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Bai, Linxue. "Speech analysis using very low-dimensional bottleneck features and phone-class dependent neural networks." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8137/.

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The first part of this thesis focuses on very low-dimensional bottleneck features (BNFs), extracted from deep neural networks (DNNs) for speech analysis and recognition. Very low-dimensional BNFs are analysed in terms of their capability of representing speech and their suitability for modelling speech dynamics. Nine-dimensional BNFs obtained from a phone discrimination DNN are shown to give comparable phone recognition accuracy to 39-dimensional MFCCs, and an average of 34% higher phone recognition accuracy than formant-based features of the same dimensions. They also preserve the trajectory

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Martins, Michael Moura. "Grau de interdependência e setores-chave da economia brasileira contemporânea: um estudo fundamentado na análise de redes." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/96/96131/tde-06052009-090913/.

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Este trabalho mostra como a teoria sobre redes sociais pode ser útil para se realizar análises de dependência intersetorial. Mais especificamente, este trabalho busca identificar os setores produtivos que exercem maior poder de influência - seja de forma positiva ou negativa sobre o sistema econômico nacional, ou seja, os setores-chave da economia brasileira. Para tanto, utiliza-se como base a matriz brasileira de insumo-produto de 1996 atualizada com dados do sistema de contas nacionais referentes ao ano de 2002. Sob uma perspectiva da teoria sobre redes sociais e com o uso do software UCINE

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Unsal, Ahmet Dundar. "Estimation Of Time-dependent Link Costs Using Gps Track Data." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/3/12608010/index.pdf.

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Intelligent Transport Systems (ITS) are becoming a part of our daily lives in various forms of application. Their success depends highly on the accuracy of the digital data they use. In networks where characteristics change by time, time-based network analysis algorithms provide results that are more accurate. However, these analyses require time-based travel speed data to provide accurate results. Conventionally, traffic data are usually obtained using the data provided from loop-detectors. These detectors usually exist on main arteries, freeways and highways<br>they rarely exist on back road

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Liang, Yan-Mei (AMY). "The Determinants of Customer Perceptions in a Dynamic Business Environment: An Exploratory Analysis of the ASP Business Model." The University of Waikato, 2008. http://hdl.handle.net/10289/2555.

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Outsourcing attracted much attention in 1989 when Kodak outsourced its data center operation to IBM (International Business Machines Corp.). Nowadays, this strategy has become more popular. At the beginning of this century, the ASP (Application Service Provider) model was considered one of the typical solutions of Internet-based IT (Information Technology) outsourcing. Although this model has been transformed and renamed (e.g. SaaS - Software as a Service), the principle concept of providing IT service through the Internet or wide area network is still there. This study attempts to explore

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Kabzeva, Aneta [Verfasser]. "Multi-Layer Modeling of Service Networks The DAME Approach to Generic Dependency Analysis and Management for Evolution / Aneta Kabzeva." München : Verlag Dr. Hut, 2015. http://d-nb.info/1079768157/34.

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Essman, Carl. "Social preconditions of collective action among NGO:s : A social network analysis of the information exchanges between 55 NGO:s in Georgia." Thesis, Stockholms universitet, Sociologiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-118567.

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Individual shortcomings and the need for resources stimulates organizations desire to establish collaborative relations with each other. An organization tends to prefer to collaborate with other familiar organizations. The information available to an organization about its peers is necessary for its ability to appreciate the suitability of potential partners as well as their capabilities and ability to contribute to a successful collaborative relation. In a three stage analytical process, social network analysis and statistical network modelling is applied to investigate the correlation betwee

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Doboli, Simona. "Latent Attractors: A Mechanism for Context-Dependent Information Processing in Biological and Artificial Neural Systems." Cincinnati, Ohio : University of Cincinnati, 2001. http://www.ohiolink.edu/etd/view.cgi?ucin984613871.

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Smith, Kevin John. "Do board contacts matter? : an analysis of the relationship between boards of directors’ ties and the performance of Australia’s largest companies." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/32188/1/Kevin_Smith_Thesis.pdf.

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Boards of directors are thought to provide access to a wealth of knowledge and resources for the companies they serve, and are considered important to corporate governance. Under the Resource Based View (RBV) of the firm (Wernerfelt, 1984) boards are viewed as a strategic resource available to firms. As a consequence there has been a significant research effort aimed at establishing a link between board attributes and company performance. In this thesis I explore and extend the study of interlocking directorships (Mizruchi, 1996; Scott 1991a) by examining the links between directors’ opportu

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Michau, Gabriel E. "Link dependent origin-destination matrix estimation : nonsmooth convex optimisation with Bluetooth-inferred trajectories." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/103850/1/Gabriel%20Etienne_Michau_Thesis.pdf.

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This thesis tackles the traditional transport engineering problem of urban traffic demand estimation by using Bluetooth data and advanced signal processing algorithms. It proposes a method to recover vehicles trajectories from Bluetooth detectors and combining vehicle trajectories with traditional traffic datasets, traffic is estimated at a city level using signal processing algorithms. Involving new technologies in traffic demand estimation gave an opportunity to rethink traditional approaches and to come up with new method to jointly estimate origin-destinations flows and route flows. The wh

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Großmann, Arndt [Verfasser], Christian Akademischer Betreuer] Spahn, Erich [Akademischer Betreuer] [Wanker, and Hans [Akademischer Betreuer] Lehrach. "Assembly and analysis of a comprehensive phosphotyrosine-dependent protein-protein interaction network / Arndt Großmann. Gutachter: Christian Spahn ; Erich Wanker ; Hans Lehrach." Berlin : Lebenswissenschaftliche Fakultät, 2016. http://d-nb.info/1097397505/34.

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Großmann, Arndt Verfasser], Christian [Akademischer Betreuer] Spahn, Erich [Akademischer Betreuer] [Wanker, and Hans [Akademischer Betreuer] Lehrach. "Assembly and analysis of a comprehensive phosphotyrosine-dependent protein-protein interaction network / Arndt Großmann. Gutachter: Christian Spahn ; Erich Wanker ; Hans Lehrach." Berlin : Lebenswissenschaftliche Fakultät, 2016. http://d-nb.info/1097397505/34.

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Liu, Ke. "A joint model of an internal time-dependent covariate and bivariate time-to-event data with an application to muscular dystrophy surveillance, tracking and research network data." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/2237.

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Joint modeling of a single event time response with a longitudinal covariate dates back to the 1990s. The three basic types of joint modeling formulations are selection models, pattern mixture models and shared parameter models. The shared parameter models are most widely used. One type of a shared parameter model (Joint Model I) utilizes unobserved random effects to jointly model a longitudinal sub-model and a survival sub-model to assess the impact of an internal time-dependent covariate on the time-to-event response. Motivated by the Muscular Dystrophy Surveillance, Tracking and Research Ne

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MAZAJ, Jelena. "INTER-ORGANIZATIONAL NETWORKS FOR INNOVATIONS AND SUSTAINABILITY." Doctoral thesis, Università degli Studi di Palermo, 2021. http://hdl.handle.net/10447/514885.

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The present Thesis is structured as a collection of three essays linked by one core idea: contributing to research knowledge on inter-organizational network dynamics in the context of innovation and the promotion of sustainability. In this Thesis, the author takes a systemic perspective and analyses the interactions between diverse groups of stakeholders, aiming to identify and interpret the logic underlying the formation of inter-organizational partnerships to promote innovation and sustainability. The dynamics of inter-organizational networks are influenced by several internal and external

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Augusto, Marcelo Lipas. "Contribuição para a análise de teletráfego com dependência de longa duração." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-01072009-143641/.

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A utilização de modelos de teletrafego que contemplem caractersticas tais como autossimilaridade e dependencia de longa duraçao tem se mostrado cada vez mais como sendo ponto-chave na correta caracterizaçao do teletrafego Local Area Network (LAN) e Wide Area Network (WAN) [1, 2]. Tal caracterizaçao e necessaria para o monitoramento e controle de teletrafego em redes convergentes [3]. Nesse contexto, a questão da estimaçao precisa do parâmetro de autossimilaridade, denominado de parâmetro de Hurst, torna-se essencial. Entretanto, estudos comprovam que, alem da dependência de longa duraçao, rede

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Esders, Linda Patricia. "Defending the patch : a labour geography analysis of unions’ construction of and responses to the problem of declining union membership amongst youth." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/40079/1/Linda_Esders_Thesis.pdf.

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If the trade union movement is to remain an influential force in the industrial, economic and socio/political arenas of industrialised nations it is vital that its recruitment of young members improve dramatically. Australian union membership levels have declined markedly over the last three decades and youth union membership levels have decreased more than any age group. Currently around 10% of young workers aged between 16-24 years are members of unions in Australia compared to 26% of workers aged 45-58 (Oliver, 2008). This decline has occurred throughout the union movement, in all states an

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MURGIA, GIANLUCA. "La definizione di nuovi modelli di leadership per il conseguimento del vantaggio competitivo: un'analisi strutturale degli organi di governo delle imprese italiane basta sull'integrazione della upper echelons theory e della resource dependence theory." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/940.

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Il presente lavoro analizza il modello di leadership delle aziende italiane attraverso un approccio che integra la upper echelons theory e la resource dependence theory. L’integrazione di queste due teorie permette di comprendere il ruolo giocato dalla leadership aziendale nella gestione delle risor-se che fanno parte dell’ambiente interno ed esterno all’impresa, e quindi il contributo che essa può dare alla definizione del vantaggio competitivo aziendale. La leadership aziendale si estrinseca at-traverso gli organi di governo dell’impresa e in particolare attraverso il Consiglio di Amministra

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Michau, Gabriel. "Link Dependent Origin-Destination Matrix Estimation : Nonsmooth Convex Optimisation with Bluetooth-Inferred Trajectories." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEN017/document.

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L’estimation des matrices origine-destination (OD) est un sujet de recherche important depuis les années 1950. En effet, ces tableaux à deux entrées recensent la demande de transport d'une zone géographique donnée et sont de ce fait un élément clé de l'ingénierie du trafic. Historiquement, les seules données disponibles pour leur estimation par les statistiques étaient les comptages de véhicules par les boucles magnétiques. Ce travail s'inscrit alors dans le contexte de l'installation à Brisbane de plus de 600 détecteurs Bluetooth qui ont la capacité de détecter et d'identifier les appareils é

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Moscu, Mircea. "Inférence distribuée de topologie de graphe à partir de flots de données." Thesis, Université Côte d'Azur, 2020. http://www.theses.fr/2020COAZ4081.

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La deuxième décennie du millénaire actuel peut être résumée en une courte phrase : l'essor des données. Le nombre de sources de données s'est multiplié : du streaming audio-vidéo aux réseaux sociaux et à l'Internet des Objets, en passant par les montres intelligentes, les équipements industriels et les véhicules personnels, pour n'en citer que quelques-unes. Le plus souvent, ces sources forment des réseaux afin d'échanger des informations. En conséquence directe, le domaine du Traitement de Signal sur Graphe a prospéré et a évolué. Son but : traiter et donner un sens à tout le déluge de donnée

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Georgiadou, Eleni. "Re-evaluating the greek foreign policy system in a transforming world politics." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/9081.

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The present thesis evaluates the responses of the contemporary Greek foreign policy structures and processes, conceptualised as the Greek foreign policy system, in the face of the transformation of world politics. This transformation, precipitated by the concurrent complex processes of globalisation and regionalisation, pose empirical and analytical challenges to the national management of foreign policy. Consequently, government departments and agencies assigned with responsibility for the conduct of what has been traditionally termed foreign policy, namely the national foreign policy machine

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Sarvotham, Shriram. "Analysis and modeling of bursty long-range-dependent network traffic." Thesis, 2001. http://hdl.handle.net/1911/17462.

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In this thesis, we study the cause and impact of burstiness in computer network traffic. A connection-level analysis of traffic at coarse time scales (time scales greater than a round-trip-time) reveals that a single connection dominates during the period of the burst. The number of dominating connections that cause bursts is found to be a small fraction of the total number of connections. Removing the burst causing connections from the traffic yields a trace whose marginal is close to a Gaussian. This observation motivates a network traffic model comprised of two components, namely the Gaussi

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Dong, Fang. "Copula theory and its applications in computer networks." Thesis, 2017. https://dspace.library.uvic.ca//handle/1828/8319.

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Traffic modeling in computer networks has been researched for decades. A good model should reflect the features of real-world network traffic. With a good model, synthetic traffic data can be generated for experimental studies; network performance can be analysed mathematically; service provisioning and scheduling can be designed aligning with traffic changes. An important part of traffic modeling is to capture the dependence, either the dependence among different traffic flows or the temporal dependence within the same traffic flow. Nevertheless, the power of dependence models, especially tho

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"Multi-omics network analysis to discover novel type 2 diabetes related genes." 2013. http://library.cuhk.edu.hk/record=b5884454.

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Gao, Zhibo.<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 2013.<br>Includes bibliographical references (leaves 147-157).<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Abstract also in Chinese.

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Li, Ling Y. "Efficient analysis of interconnect networks with frequency dependent lossy transmission lines." 2005. http://hdl.handle.net/1993/18061.

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Ribeiro, Vinay Joseph. "Wavelet-based queueing analysis of Gaussian and nonGaussian long-range-dependent network traffic." Thesis, 1999. http://hdl.handle.net/1911/17295.

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In this thesis, we develop a simple and powerful multiscale model for the synthesis of nonGaussian, long-range-dependent (LRD) network traffic. The wavelet transform effectively decorrelates LRD signals and hence is well-suited to model such data. However, wavelet-based models have generally been used for modeling Gaussian data which can be unrealistic for traffic. Using a multiplicative superstructure atop the Haar wavelet transform, we exploit the decorrelating properties of wavelets while simultaneously capturing the positivity and "spikiness" of nonGaussian traffic. We develop a queuing an

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Lee, Yu-Shyang, and 李裕祥. "Response strategy for Adaptive Network Intrusion Response Framework Based on Environment Dependent Risk Analysis." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/28437941034195722026.

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Zhang, Li-zhang, and 張立長. "Risk Model for Adaptive Network Intrusion Response Framework Based on Environment Dependent Risk Analysis." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/29223814078204030884.

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碩士<br>中原大學<br>資訊工程研究所<br>97<br>Abstract In efforts to defend against attacks in a networked computer environment, more attention is spent on the threat caused by attacks coming from the outside network than on threat caused by attacks originated within the inside network because, in most of the cause, the main sources of the attack are from the outside network. By detecting outside attacks and fail them, most of the security threats to a computer environment are eliminated. However, an outside attack may escape the detection of the defense mechanism and successfully compromise an inside host,

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Wang, Eric Xun. "Dependent Hierarchical Bayesian Models for Joint Analysis of Social Networks and Associated Text." Diss., 2012. http://hdl.handle.net/10161/5572.

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<p>This thesis presents spatially and temporally dependent hierarchical Bayesian models for the analysis of social networks and associated textual data. Social network analysis has received significant recent attention and has been applied to fields as varied as analysis of Supreme Court votes, Congressional roll call data, and inferring links between authors of scientific papers. In many traditional social network analysis models, temporal and spatial dependencies are not considered due to computational difficulties, even though significant such dependencies often play a significant role i

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Schäfer, Juliane Stephanie [Verfasser]. "Small-sample analysis and inference of networked dependency structures from complex genomic data / vorgelegt von Juliane Stephanie Schäfer." 2006. http://d-nb.info/97980132X/34.

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Gonzalez, Antonio 1973. "Molecular genetic analysis of TTG1-dependent cell fate pathways identifies a combinatorial Myb/bHLH transcription factor network in Arabidopsis." 2008. http://hdl.handle.net/2152/18349.

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The discovery of the Arabidopsis ttg1 mutant almost three decades ago provided a unique opportunity for the study of how several cell fates and organ identity pathways are co-regulated. Besides showing a lack of flavonoid based pigments, the pleiotropic ttg1 mutant is also deficient for the development of several epidermal characters including plant hair cells (trichomes), the non-hair cells of the root and the mucilage-secreting cells of the seed coat epidermis. Ectopic expression of the maize R bHLH transcriptional regulator of the flavonoid pigment pathway could completely suppress all the

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