Titlebook: Computational Science – ICCS 2021; 21st International C Maciej Paszynski,Dieter Kranzlmüller,Peter M. A. S Conference proceedings 2021 Spri

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Dave Robertson,Brendan McCarthyse of LSTM network augmented with Time Distribution Layer was developed and tested against actual vehicle availability dataset. The dataset was also made publicly available for researchers as a part of this study. The predictive model developed in the study is used in a multi-modal trip planner.

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生命層

https://doi.org/10.1057/9780230378384the numerical solution depends on the quality of the computational mesh. We consider the self-adaptive .-FEM, which generates optimal mesh refinements and delivers exponential convergence of the numerical error with respect to the mesh size. Thus, it enables solving difficult engineering problems wi

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https://doi.org/10.1057/9780230378384 moving along separate milk-run routes over a given periodically repeating time horizon. Customer orders and the feasible time windows for the execution of those orders can be dynamically revealed over time. The problem essentially entails the rerouting of routes determined in the course of their pr

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C. A. Mbodji,A. Fall,D. Diouf,A. Secktating distributed computing in virtually all domain sciences. As data and computational requirements increase, I/O-intensive workflows have become prevalent. In this work, we evaluate the ability of twopopular energy-aware workflow scheduling algorithms to provide effective schedules for this class