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Titlebook: Intelligent Sustainable Systems; Proceedings of ICISS Jennifer S. Raj,Yong Shi,Valentina Emilia Balas Conference proceedings 2022 The Edito

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書目名稱Intelligent Sustainable Systems
副標(biāo)題Proceedings of ICISS
編輯Jennifer S. Raj,Yong Shi,Valentina Emilia Balas
視頻videohttp://file.papertrans.cn/470/469983/469983.mp4
概述Presents recent research in intelligent sustainable systems.Discusses the outcomes of ICISS 2022, held in Tamil Nadu, India.Serves as a reference resource for researchers and practitioners in academia
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Intelligent Sustainable Systems; Proceedings of ICISS Jennifer S. Raj,Yong Shi,Valentina Emilia Balas Conference proceedings 2022 The Edito
描述.This book features research papers presented at the 5th?International Conference on Intelligent Sustainable Systems (ICISS 2022), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 17–18, 2022. The book discusses latest research works that discusses the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry..
出版日期Conference proceedings 2022
關(guān)鍵詞Intelligent Business Systems; Machine Intelligence; Web Intelligence; Sustainable Smart Systems; Secure
版次1
doihttps://doi.org/10.1007/978-981-19-2894-9
isbn_softcover978-981-19-2893-2
isbn_ebook978-981-19-2894-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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,Category Based? Location Aware Tourist Place Popularity Prediction and Recommendation System Using ithms, i.e., naive Bayes (NB), decision tree (DT), support vector machine (SVM), random Forest (RF), and performance analysis using several evaluation factors. From research, we could conclude that random forest has given the highest performance in comparison with decision tree, naive Bayes, and SVM
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Maximization of Disjoint K-cover Using Computation Intelligence to Improve WSN Lifetime,puter intelligence technique, as well as a genetic algorithm and differential evolution. To make the solution possible, a local operator has been incorporated. With integer encoding of solutions in genetic algorithm performs better than differential evolution in finding a good number of disjoint set
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Sreevatsan Radhakrishnan,Syed Ishtiyaq Ahmed,S. R. Rameshth some recently discovered and (at first sight) unusual properties of solutions for nonlinear difference equations. These properties enable us to use difference equations in order to model complicated os- cillating processes (this can often be done in those cases when it is difficult to apply ordinary differ978-94-010-4774-6978-94-011-1763-0
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