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Titlebook: Intelligent Methods and Big Data in Industrial Applications; Robert Bembenik,?ukasz Skonieczny,Henryk Rybinski Book 2019 Springer Internat

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書目名稱Intelligent Methods and Big Data in Industrial Applications
編輯Robert Bembenik,?ukasz Skonieczny,Henryk Rybinski
視頻videohttp://file.papertrans.cn/470/469826/469826.mp4
概述Covers several applications of intelligent technologies in various branches of the industry.Presents solutions to problems experienced by practitioners in artificial intelligence, complex systems, dat
叢書名稱Studies in Big Data
圖書封面Titlebook: Intelligent Methods and Big Data in Industrial Applications;  Robert Bembenik,?ukasz Skonieczny,Henryk Rybinski Book 2019 Springer Internat
描述.The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.. .?.
出版日期Book 2019
關(guān)鍵詞Big Data; Computational Intelligence; Intelligent Information Systems; Intelligent Technologies; Blockch
版次1
doihttps://doi.org/10.1007/978-3-319-77604-0
isbn_softcover978-3-030-08492-9
isbn_ebook978-3-319-77604-0Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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https://doi.org/10.1007/978-3-319-77604-0Big Data; Computational Intelligence; Intelligent Information Systems; Intelligent Technologies; Blockch
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Studies in Big Datahttp://image.papertrans.cn/i/image/469826.jpg
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2197-6503 actitioners in artificial intelligence, complex systems, dat.The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and b
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Implementation of Generic Steering Algorithms for AI Agents in Computer Gamesems in their usage and the solutions to said problems. The paper also presents results of studies upon the behaviors within a closed, single-layered AI module consisting only out of a movement layer, thus removing the bias inflicted by pathfinding and decision making.
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High Performance Computing by the Crowdmputing demanding tasks. As we do not require to power additional resources for solving tasks (we better exploit unused resources . powered instead), we hypothesize a remarkable side effect at steady state: energy consumption reduction compared with traditional server farm or cloud based executions.
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Seismic Attributes Similarity in Facies Classificationat the data. Initial tests have shown some regularities in the correlations between seismic attributes. Some attributes are unique and potentially very helpful with information retrieval while others form non-diverse groups. These encouraging results have the potential for transferring the work to practical geological interpretation.
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