Titlebook: Computational Science – ICCS 2018; 18th International C Yong Shi,Haohuan Fu,Peter M. A. Sloot Conference proceedings 2018 Springer Internat

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Luís Renato Vedovato,Cristiane G. F. Vianna camera. By leveraging the generalization capability of the neural network, we could better represent the model of the object implicitly. With the training stage done off-line, our proposed methods are capable of real-time performance and running as fast as 1.29 ms per frame on one CPU core, which i

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https://doi.org/10.1007/978-3-030-16985-5y true in imagery provided by an Unmanned Aerial System (UAS), where the relative size of wildlife is small and visually similar to its background. This work presents an automated feedback loop which can be used to train convolutional neural networks with extremely unbalanced class sizes, which alle

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Lin Lerpold,Örjan Sjöberg,Wing-Shing Tangy leak-age and resource costs, if without enough incentives, most mobile nodes are often selfish and disinterested in helping others to detect an intrusion event, thus an ef-ficient incentive mechanism is required. In this paper, we formulate the incentive mechanism for cooperative intrusion detecti

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Sustainable Corporate Governanceprises 130 data centers worldwide with datasets in the Petabyte range. In the processing of data across the grid, transfer delays and subsequent performance loss emerged as an issue. The two major costs are the waiting time until input data is ready and the job computation time. In the ATLAS workflo