Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 11 of 11 for “"sparse networks"”.
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Inference of multiple sparse networks in the presence of hidden nodes
… prominent task of jointly inferring multiple networks from nodal observations. Joint network inference has been investigated extensively to expose the benefits of inferring multiple networks while accounting for their structural similarities. However, the primary assumption is that …
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FRAMEWORK FOR INCORPORATING NETWORK CONNECTIVITY IN TRANSPORTATION SYSTEMS EVALUATION
… particularly in regions and countries with sparse networks. This dissertation develops a framework for measuring network connectivity performance for use as an input for the evaluation process and is applicable to existing or proposed networks in any mode of transportation. The steps for the …
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Benefits of branches in sparsely connected networks
Artificial neural networks are most commonly implemented in computer software; however, real time processing and energy efficiency demands require faster and lower power alternatives. Neuromorphic engineering promises speed and energy efficiency, yet these devices can have unique constraints making …
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Construction of Reliable Series-Parallel Networks: A Combinatorial Approach
… of more and more large- and medium-scale networks, and by every indication that the computer network will soon be a primary means of communication for most people. For sparse networks, the probability that the network is connected drops rapidly as the probability of failure of sites or …
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Essays on Social Networks
… of three essays on the economics of social networks. It broadly deals with understanding the value of social connections on favour exchange and information exchange. Social networks facilitate trust, learning, and communication, all crucial in the modern online environment. Examining the …
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Information dissemination via random walks
… In the face of large and still growing modern networks, it is imperative that dissemination algorithms are decentralised and can operate under unreliable conditions. In the past decades, randomised rumour spreading algorithms have addressed these challenges. In these algorithms, a message is …
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A novel Ferry Assisted Greedy Perimeter Stateless Routing Protocol (FA-GPSR) for Ad-hoc networks in remote locations
… in the connectivity and routing in an Ad-hoc networks because end user devices must contribute in routing and therefore maintain connectivity. In dynamic environments with mobile nodes, routing becomes very challenging; this challenge becomes even more burdensome if a network is deployed in …
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Essays in Networks and Experimental Economics
The thesis focuses on networks and experimental economics. The first chapter theoretically studies network coordination games under adaptive learning agents. The second and third chapters conduct experiments on strategic interactions in networks and on network formation, respectively. The fourth …
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Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery
… types of interactions to build knowledge-driven networks. While both data- and knowledge-driven networks have their pros and cons, an appropriate approach to incorporate the prior biological knowledge from publicly available databases into data-driven network model is desirable for more robust …
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Improving gesture recognition through spatial focus of attention
… particularly when the channels are fused using a sparse network. We propose an architecture (FOANet) that divides processing among four modalities (RGB, depth, RGB flow, and depth flow), and three spatial focus of attention regions (global, left hand, and right hand). The resulting 12 channels are …
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Novel methods for biological network inference: an application to circadian Ca2+ signaling network
… making considerable efforts to learn biological networks at low experimental costs. The main goal of this thesis is to develop advanced methods to build models for biological networks, taking the circadian system of Arabidopsis thaliana as a case study. A variety of network inference approaches …