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 McCarthy dealing with such threats to national security. This paper presents the utilisation of a big data forecasting and analytics framework to deal with COVID-19 triggered social unrest. The framework is applied and demonstrated in two different disruptive incidents in the United States of America.

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虛構(gòu)的東西

Simulation Modeling of Epidemic Risk in Supermarkets: Investigating the Impact of Social Distancing ate traffic conditions. Hence, redesigning supermarket layouts to increase distances between the queues can reduce risk only if the number of open checkouts is sufficient to serve customers during peak hours.

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破布

Big Data for National Security in the Era of COVID-19 dealing with such threats to national security. This paper presents the utilisation of a big data forecasting and analytics framework to deal with COVID-19 triggered social unrest. The framework is applied and demonstrated in two different disruptive incidents in the United States of America.

薄膜

Deep Learning Driven Self-adaptive Hp Finite Element Methodthis work. The network learns how to optimally refine the elements and modify the orders of the polynomials. In this way, the deterministic algorithm is replaced by a neural network that selects similar quality refinements in a fraction of the time needed by the original algorithm.

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Efficient Prediction of Spatio-Temporal Events on the Example of the Availability of Vehicles Rentedse 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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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233096.jpg

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