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Titlebook: Machine Vision and Augmented Intelligence—Theory and Applications; Select Proceedings o Manish Kumar Bajpai,Koushlendra Kumar Singh,George

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發(fā)表于 2025-3-21 19:14:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Vision and Augmented Intelligence—Theory and Applications
副標(biāo)題Select Proceedings o
編輯Manish Kumar Bajpai,Koushlendra Kumar Singh,George
視頻videohttp://file.papertrans.cn/621/620795/620795.mp4
概述Highlights recent research in machine vision and augmented intelligence.Discusses the outcomes of MAI 2021 held at Jabalpur, India.Serves as a reference guide for researchers and practitioners in acad
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Machine Vision and Augmented Intelligence—Theory and Applications; Select Proceedings o Manish Kumar Bajpai,Koushlendra Kumar Singh,George
描述This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
出版日期Conference proceedings 2021
關(guān)鍵詞Artificial Intelligence; Augmented Intelligence; Machine Learning; Deep Learning; Image Processing; Compu
版次1
doihttps://doi.org/10.1007/978-981-16-5078-9
isbn_softcover978-981-16-5080-2
isbn_ebook978-981-16-5078-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Machine Vision and Augmented Intelligence—Theory and Applications978-981-16-5078-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Manish Kumar Bajpai,Koushlendra Kumar Singh,GeorgeHighlights recent research in machine vision and augmented intelligence.Discusses the outcomes of MAI 2021 held at Jabalpur, India.Serves as a reference guide for researchers and practitioners in acad
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tarts with the development of Marx-Sraffa linear economic models with fixed capital. The author then addresses various topics, including formal explanations of Sraffa-Okishio-Nakatani’s (SON) reduction of the whole economy to its subsystem of brand-new commodities, the renewal dynamics of fixed capi
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Konark Yadav,Milind Yadav,Sandeep Sainiand from the beginning illustrating the theory with software examples. As such, it quickly introduces readers to the peculiarities of each subject from both theoretical and the practical points of view. It also includes numerous examples and real-world applications that demonstrate how to handle dif
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Afroz Fatima,Abhijit Pethee organized into “branching” trees, and which reflect the high degree of nondeterminism inherent in parallel computation. In this paper, we give a systematic account of Branching Time Temporal Logics, which provide a formal system for describing and reasoning about the correct behaviour of such prog
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