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Titlebook: Innovative Trends in Computational Intelligence; Ravi Tomar,Manolo Dulva Hina,Amar Ramdane-Cherif Book 2022 Springer Nature Switzerland AG

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书目名称Innovative Trends in Computational Intelligence
编辑Ravi Tomar,Manolo Dulva Hina,Amar Ramdane-Cherif
视频videohttp://file.papertrans.cn/468/467532/467532.mp4
概述Addresses key computational issues that can be solved by computational intelligence.Introduces various application domains by which computational intelligence is the preferred solution.Includes approa
丛书名称EAI/Springer Innovations in Communication and Computing
图书封面Titlebook: Innovative Trends in Computational Intelligence;  Ravi Tomar,Manolo Dulva Hina,Amar Ramdane-Cherif Book 2022 Springer Nature Switzerland AG
描述.This book addresses the key problems that computational intelligence aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human‘s way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies.  .
出版日期Book 2022
关键词Applied Soft computing; Fuzzy Set Theory; Artificial Neural Network; Evolutionary computing; Rough Set T
版次1
doihttps://doi.org/10.1007/978-3-030-78284-9
isbn_softcover978-3-030-78286-3
isbn_ebook978-3-030-78284-9Series ISSN 2522-8595 Series E-ISSN 2522-8609
issn_series 2522-8595
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Data Mining in Healthcare and Prediction Model Using Data Mining Technique on COVID-19,ining, whether its actuality charity in healthcare or business, is to recognize beneficial and reasonable arrangements by examining big circles of statistics. In this chapter, we provide a prediction, conferring the probable impact of data mining to combat against COVID-19 and the current restraints on these aids.
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ECG Feature Extraction,for all records have been deposited and made publicly available in the . repository. This is one of the major contributions of the work. The github repository offers a valuable resource for ECG researchers.
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