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Titlebook: International Symposium on Intelligent Informatics; Proceedings of ISI 2 Sabu M. Thampi,Jayanta Mukhopadhyay,Kuan-Ching Li Conference proce

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書目名稱International Symposium on Intelligent Informatics
副標(biāo)題Proceedings of ISI 2
編輯Sabu M. Thampi,Jayanta Mukhopadhyay,Kuan-Ching Li
視頻videohttp://file.papertrans.cn/473/472049/472049.mp4
概述Presents research works in intelligent informatics.Discusses results of ISI 2022 held in Trivandrum, India.Serves as a reference for researchers and practitioners in academia and industry
叢書名稱Smart Innovation, Systems and Technologies
圖書封面Titlebook: International Symposium on Intelligent Informatics; Proceedings of ISI 2 Sabu M. Thampi,Jayanta Mukhopadhyay,Kuan-Ching Li Conference proce
描述.This book constitutes thoroughly refereed post-conference proceedings of the 7th International Symposium on Intelligent Informatics (ISI 2022), from August 31 to September 1–2, 2022, Trivandrum, India. The revised papers presented are carefully reviewed and selected from several initial submissions. The scope of the Symposium includes AI, machine learning, cognitive computing, soft computing, security informatics, data science, computer vision, pattern recognition, intelligent software engineering, intelligent networked systems, IoT, cyber-physical systems, and NLP.?The book is directed to the researchers and scientists engaged in various fields of intelligent informatics..
出版日期Conference proceedings 2023
關(guān)鍵詞Signal, Image and Speech Processing; Computer Vision; Artificial Intelligence; Machine and Deep learnin
版次1
doihttps://doi.org/10.1007/978-981-19-8094-7
isbn_softcover978-981-19-8096-1
isbn_ebook978-981-19-8094-7Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
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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Meenal Jabde,Chandrashekhar Patil,Shankar Mali,Amol Vibhute rivers flowing through the world’s mega-cities are now being cleaned, restored and given pride of place in the landscapes they flow through. Conservation projects provide evidence that even fragile island and 978-3-319-34579-6978-3-319-07206-7
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Practical Implications of?Dequantization on?Machine Learning Algorithms: A Surveymodels on achieving a speed up over classical ML techniques rather than individual proofs of these algorithms. This study highlights the assumptions being made that are currently not practical for QML and QIML algorithms in achieving performance advantage over classical ML algorithms.
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