Results 41 to 50 of about 753,553 (169)
Counting Integer Flows in Networks [PDF]
Foundations of Computational Mathematics, 2004 This paper discusses new analytic algorithms and software for the enumeration of all integer flows inside a network. Concrete applications abound in graph theory \cite{Jaeger}, representation theory \cite{kirillov}, and statistics \cite{persi}. Our methods clearly surpass traditional exhaustive enumeration and other algorithms and can even yield ...
De Loera, J, Vergne, M, BALDONI, MARIA
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Analysis of Communication Network Flow Connection Behavior Based on Flow Knowledge Graph [PDF]
Jisuanji gongcheng, 2019 The graph model method has unique advantages in network flow behavior analysis,because it can intuitively and completely describe the connection mode of network flow.However,the current methods have many problems,such as single composition mode ...
HU Hangyu, ZHAI Xuemeng, HU Guangmin
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Vectorised Spreading Activation algorithm for centrality measurement
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011 Spreading Activation is a family of graph-based algorithms widely used in areas such as information retrieval, epidemic models, and recommender systems. In this paper we introduce a novel Spreading Activation (SA) method that we call Vectorised Spreading
Alexander Troussov +4 more
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Energy Reports, 2021 An integrated energy system that uses various networks to transfer electrical power, natural gas, heating, and cooling energy has been applied widely in recent decades.
Dongwen Chen +4 more
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A bit-arc capacity scaling algorithm for the maximum flow problem subjected to box constraints on the flow vector in digraph [PDF]
Network BiologyA bit-arc capacity scaling algorithm to solve the maximal flow problem subjected to box constraints on the flow vector in directed network has been presented. The algorithm is mainly based on successive divisions of capacities by multiples of two.
Muhammad Tlas
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Mokslas: Lietuvos Ateitis, 2016 New and existing methods of cyber-attack detection are constantly being developed and improved because there is a great number of attacks and the demand to protect from them.
Rimas Ciplinskas, Nerijus Paulauskas
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Flow characteristics in flow networks [PDF]
Experiments in Fluids, 1993 A flow network is a system of mutually intersecting holes in a plate or an assembly of plates. The flow at each intersection is characterized by a collision of two flow streams, resulting in complex flow patterns through the downstream holes. In the case of multiple intersections, the flow is periodically disrupted at each succeeding intersection, thus
Lee, C. P. +3 more
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Matrix modeling for performance analysis of commercial credit circuits: Mountex as a case study [PDF]
International Journal of Research in Industrial EngineeringThe scope of commercial credit circuits are closely linked to the field of data analysis within a network flow, making it essential for such companies to employ state-of-the-art modeling techniques, performance evaluation methods, and algorithmic ...
Saman Babaie-Kafaki, Damian Comper
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CoRRAt the heart of time-series forecasting (TSF) lies a fundamental challenge: how can models efficiently and effectively capture long-range temporal dependencies across ever-growing sequences? While deep learning has brought notable progress, conventional architectures often face a trade-off between computational complexity and their ability to retain ...
Hongbo Liu, Jia Xu 0004
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Using deep learning for detecting BotCloud
Tongxin xuebao, 2016 The differences of the basic network flow characteristics between BotCloud and normal cloud services were not obvious, and this led to the inefficiency of the method in BotCloud detection based on network flow characteristics analysis.
Guang KOU +4 more
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