Results 21 to 30 of about 753,553 (169)
Multiscale Modeling & Simulation, 2014 We introduce a cellular automaton model coupled with a transport equation for flows on graphs. The direction of the flow is described by a switching process where the switching probability dynamically changes according to the value of the transported quantity in the neighboring cells.
Pierre Degond +2 more
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Social Choice and Welfare, 2018 In this paper we propose an in-depth analysis of a method, called the flow network method, which associates with any network a complete and quasi-transitive binary relation on its vertices. Such a method, originally proposed by Gvozdik (1987), is based on the concept of maximum flow.
Daniela Bubboloni, Michele Gori
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ISPRS International Journal of Geo-Information, 2017 Emergency material vehicle dispatching and routing (EMVDR) is an important task in emergency relief after large-scale earthquake disasters. However, EMVDR is subject to dynamic disaster environment, with uncertainty surrounding elements such as the ...
Jincheng Jiang +3 more
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Network Anomaly Detection Using Machine Learning Techniques
Proceedings, 2020 While traditional network security methods have been proven useful until now, the flexibility of machine learning techniques makes them a solid candidate in the current scene of our networks.
Julio J. Estévez-Pereira +2 more
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Laplacians for flow networks [PDF]
SIAM Journal on Discrete Mathematics, 2011 We define a class of Laplacians for multicommodity, undirected flow networks, and bound their smallest nonzero eigenvalues with a generalization of the sparsest cut.
Taylor, Joshua A., Hover, Franz S.
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CoRR, 2023 This paper introduces Bayesian Flow Networks (BFNs), a new class of generative model in which the parameters of a set of independent distributions are modified with Bayesian inference in the light of noisy data samples, then passed as input to a neural network that outputs a second, interdependent distribution.
Alex Graves +3 more
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Neutrosophic Network Flow with Truth, Indeterminacy, and Falsity Capacities: An Innovative Mathematical Framework for Efficiency Evaluation of Achievement Transformation of College Student Innovation and Entrepreneurship Training Programs [PDF]
Neutrosophic Sets and SystemsThis paper introduces a new mathematical framework that combines neutrosophic logic and network flow theory to improve the design of student innovation and entrepreneurship training programs.
Yingchun Gan
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An Intrusion Tracking Watermarking Scheme
IEEE Access, 2019 With the rapid development of edge computing technology, the scale of the network continues to expand. Various types of applications are becoming more widespread. In the edge computing, existing network agents, NAT, IP tunneling technologies, and rapidly
Jun Hou +5 more
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MTC-NET: A Multi-Channel Independent Anomaly Detection Method for Network Traffic
BiomimeticsIn recent years, deep learning-based approaches, particularly those leveraging the Transformer architecture, have garnered widespread attention for network traffic anomaly detection.
Xiaoyong Zhao, Chengjin Huang, Lei Wang
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Resource Capacitated Collective Travel Planning in Spatial Databases
IEEE Access, 2020 The widespread use of GPS smart devices has allowed users to collect location information in real-time, leading to the emergence of ride-sharing services based on users' locations. Ride-sharing services have become effective services that reduce the cost
Junkyu Lee, Seog Park
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