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Titlebook: Soft Computing and Signal Processing; Proceedings of ICSCS Jiacun Wang,G. Ram Mohana Reddy,V. Sivakumar Reddy Conference proceedings 2019 S

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書目名稱Soft Computing and Signal Processing
副標題Proceedings of ICSCS
編輯Jiacun Wang,G. Ram Mohana Reddy,V. Sivakumar Reddy
視頻videohttp://file.papertrans.cn/871/870458/870458.mp4
概述Discusses a wide set of topics in soft computing and signal processing.Is useful for academics and researchers interested in the latest developments and future trends.Contributes to the dissemination
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Soft Computing and Signal Processing; Proceedings of ICSCS Jiacun Wang,G. Ram Mohana Reddy,V. Sivakumar Reddy Conference proceedings 2019 S
描述.The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning. It also discusses various aspects of these topics, like technologies, product implementation, and application issues..
出版日期Conference proceedings 2019
關(guān)鍵詞Conference Proceedings; ICSCSP; ICSCSP 2018; Soft Computing; Signal Processing; Soft Sets; Rough Sets; Fuzz
版次1
doihttps://doi.org/10.1007/978-981-13-3393-4
isbn_softcover978-981-13-3392-7
isbn_ebook978-981-13-3393-4Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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K. Himabindu,S. Jyothi,D. M. Mamathae-specific shopping, enabling the creation of customized offers for each request. Airlines now face the challenging task of efficiently handling shopping requests and swiftly selecting priced itineraries with associated ancillary bundles. To ensure scalability, these responses must be generated with
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A New Bat Algorithm with Distance Computation Capability and Its Applicability in Routing for WSN,th. The results of the proposed algorithm are evaluated, in terms of best, mean, worst, median and standard deviation, for the time required to obtain optimal results on the basis of distance (as fitness value) between the sensing nodes and outperforms standard BA.
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