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Titlebook: Computational Science – ICCS 2019; 19th International C João M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A Conference proceedings 2019 Spri

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书目名称Computational Science – ICCS 2019
副标题19th International C
编辑João M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Science – ICCS 2019; 19th International C João M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A Conference proceedings 2019 Spri
描述The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019..The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named:..Part I: ICCS Main Track..Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems..Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems..Part IV: Tra
出版日期Conference proceedings 2019
关键词artificial intelligence; complex systems; computational methods; computational science; computer network
版次1
doihttps://doi.org/10.1007/978-3-030-22747-0
isbn_softcover978-3-030-22746-3
isbn_ebook978-3-030-22747-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Efficient Parallel Associative Classification Based on Rules Memoizations introduced to reorder computations by affinity, improving frequent-demanded association rules memoization in typical cache strategies. The experiments results show that our similarity-based metric maximizes the reuse of rules cached and, consequently, improve application performance, with gains up
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Anomaly Detection in Social Media Using Recurrent Neural Networknitial clustering step with the K-Nearest Neighbor (KNN) algorithm is proposed before training the result with a Recurrent Neural Network (RNN). The results of a preliminary application of the KNN phase before the RNN phase produces a quantitative and measureable improvement in the detection of outl
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An Innovative and Reliable Water Leak Detection Service Supported by Data-Intensive Remote Sensing Pctive infrastructure repairs with the required degree of confidence on the detected leaks. The web platform allows for both data analysis and visualization of Sentinel images and relevant leak indicators at the sites selected by the user. The user can also provide aerial imagery inputs, to be proces
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Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filteretween the state and observational spaces the so-called ensemble space and an RKHS approximation in which the observational mapping is embedded in an RKHS and the gradient is derived there. The approximations are evaluated for highly nonlinear observational operators and in a low-dimensional chaotic
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