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Titlebook: Intelligence Enabled Research; DoSIER 2021 Siddhartha Bhattacharyya,Gautam Das,Sourav De Book 2022 The Editor(s) (if applicable) and The Au

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發(fā)表于 2025-3-21 17:40:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Intelligence Enabled Research
副標(biāo)題DoSIER 2021
編輯Siddhartha Bhattacharyya,Gautam Das,Sourav De
視頻videohttp://file.papertrans.cn/470/469264/469264.mp4
概述Presents research works on intelligence enabled research.Includes extended versions of papers presented at DoSIER 2021.Serves as a reference resource for researchers and practitioners in academia and
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Intelligence Enabled Research; DoSIER 2021 Siddhartha Bhattacharyya,Gautam Das,Sourav De Book 2022 The Editor(s) (if applicable) and The Au
描述.This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies..
出版日期Book 2022
關(guān)鍵詞Robotics, Automation and Vision Engineering; Predictive Control; Power Control and Optimization; Data M
版次1
doihttps://doi.org/10.1007/978-981-19-0489-9
isbn_softcover978-981-19-0491-2
isbn_ebook978-981-19-0489-9Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書(shū)目名稱(chēng)Intelligence Enabled Research影響因子(影響力)




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A Three-Step Fuzzy-Based BERT Model for Sentiment Analysis,into positive, negative or neutral views. This paper proposes a new three-step fuzzy-based bidirectional encoder representations from transformers (BERT) sentiment analysis model to predict the sentiments of various types of datasets. The advantage of BERT is its both direction-wise training of cont
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,Group Key Management Techniques for?Secure Load Balanced Routing Model,ion, energy limitation, and absence of brought together organization make WSNs entirely defenseless against different sorts of pernicious assaults. In WSNs, recognizing vindictive sensor gadgets and dispensing with their detected data assume a vital part for strategic applications. Standard cryptogr
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A Survey on Underwater Object Detection,nktons, submerged ships, pipelines, debris, etc. The work reviews different art of studies where it considers either object detection or object localization. Here we have reviewed the existing work into two categories learning-based approach and non-learning-based approach. Learning-based approaches
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Research of High-Speed Procedures for Defuzzification Based on the Area Ratio Method, presented. A limitation of the proposed method with two high-speed procedures is the use of only triangular or singleton membership functions. The main aim of the research is to test the hypothesis about the possibility of changing the type of the transient process during learning of the fuzzy MISO
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