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Titlebook: Intelligent Systems and Sustainable Computing; Proceedings of ICISS V. Sivakumar Reddy,V. Kamakshi Prasad,Suresh Chand Conference proceedin

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書(shū)目名稱(chēng)Intelligent Systems and Sustainable Computing
副標(biāo)題Proceedings of ICISS
編輯V. Sivakumar Reddy,V. Kamakshi Prasad,Suresh Chand
視頻videohttp://file.papertrans.cn/471/470063/470063.mp4
概述Presents recent research on intelligent systems and sustainable computing.Provides results of the ICISSC 2021 conference held in Hyderabad, India.Serves as a reference for researchers and practitioner
叢書(shū)名稱(chēng)Smart Innovation, Systems and Technologies
圖書(shū)封面Titlebook: Intelligent Systems and Sustainable Computing; Proceedings of ICISS V. Sivakumar Reddy,V. Kamakshi Prasad,Suresh Chand Conference proceedin
描述The book is a collection of best selected research papers presented at the International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2021), held in School of Engineering, Malla Reddy University, Hyderabad, India, during 24–25 September 2021. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining & data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication..
出版日期Conference proceedings 2022
關(guān)鍵詞Intelligent Systems; Soft Computing; Data Mining and Data Warehousing; Neural Networks; Internet of Thin
版次1
doihttps://doi.org/10.1007/978-981-19-0011-2
isbn_softcover978-981-19-0013-6
isbn_ebook978-981-19-0011-2Series 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
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書(shū)目名稱(chēng)Intelligent Systems and Sustainable Computing被引頻次




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978-981-19-0013-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Smart Innovation, Systems and Technologieshttp://image.papertrans.cn/i/image/470063.jpg
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Improving Accuracy in Facial Detection Using Viola-Jones Algorithm AdaBoost Training Method,multiple images using Viola-Jones algorithm framework and also improving accuracy from the false positive information and true negative information in the given data by using AdaBoost training methods and cascading classification.
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