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Qiu, Z. (author), Jokic, I. (author), Tang, Siyu (author), Noldus, R.A.C.J. (author), Van Mieghem, P.F.A. (author)
Although resource management schemes and algorithms for networks are well established, we present two novel ideas, based on graph theory, that solve inverse all shortest path problem. Given a symmetric and non-negative demand matrix, the inverse all shortest path problem (IASPP) asks to find a weighted adjacency matrix of a graph such that...
journal article 2024
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Wang, Jiepeng (author), Zhou, Hong (author), Sun, Xinlei (author), Yuan, Y. (author)
Due to the fact that there is a lack of comprehensive understanding of how the dynamic nature of supply chain networks (SCNs) interrelates with network structures, particularly network topologies under disruptions. This research employs a novel evolving model of a supply chain network (SCNE model) by modifying the Barabási and Albert (BA)...
journal article 2023
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Wen, Yuanqiao (author), Tao, W. (author), Sui, Zhongyi (author), Piera, Miquel Angel (author), Song, R. (author)
With the continual development of modern transportation technology and artificial intelligence technology, how to recognize the complex phenomenon of ship behavior existing in maritime traffic has become a hot topic. Maritime traffic is a complex system, the emergence of ship behavior is a leading cause of traffic complexity, and make up the...
journal article 2022
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Sun, Hao (author), Wang, Haiqing (author), Yang, M. (author), Reniers, G.L.L.M.E. (author)
To quantify the pandemic specific impact with respect to the risk related to the chemical industry, a novel risk analysis method is proposed. The method includes three parts. Firstly, the two types of “window of opportunity” (WO) theory is proposed to divide an accident life cycle into two parts. Then, a qualitative risk analysis is conducted...
journal article 2020
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