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Titlebook: Intelligent Learning for Computer Vision; Proceedings of Congr Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 20

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書目名稱Intelligent Learning for Computer Vision
副標(biāo)題Proceedings of Congr
編輯Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal
視頻videohttp://file.papertrans.cn/470/469793/469793.mp4
概述Presents high-quality research papers in computer vision.Features the outcomes of CIS 2020.Serves as a reference resource for researchers and practitioners in academia and industry
叢書名稱Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Intelligent Learning for Computer Vision; Proceedings of Congr Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 20
描述This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the productivity in agricultural domain.
出版日期Conference proceedings 2021
關(guān)鍵詞Computer Vision; Robotics; Computational Intelligence; Convolutional Neural Network; CIS 2020; CIS Procee
版次1
doihttps://doi.org/10.1007/978-981-33-4582-9
isbn_softcover978-981-33-4584-3
isbn_ebook978-981-33-4582-9Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
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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Lecture Notes on Data Engineering and Communications Technologieshttp://image.papertrans.cn/i/image/469793.jpg
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https://doi.org/10.1007/978-981-33-4582-9Computer Vision; Robotics; Computational Intelligence; Convolutional Neural Network; CIS 2020; CIS Procee
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