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Applied Computer Vision and Image Processing = Proceedings of ICCET 2020, Volume 1 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied Computer Vision and Image Processing/ edited by Brijesh Iyer, A. M. Rajurkar, Venkat Gudivada.
其他題名:	Proceedings of ICCET 2020, Volume 1 /
其他作者:	Gudivada, Venkat.
面頁冊數:	XII, 432 p. 210 illus., 142 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-981-15-4029-5
ISBN:	9789811540295

Applied Computer Vision and Image Processing = Proceedings of ICCET 2020, Volume 1 /
Applied Computer Vision and Image ProcessingProceedings of ICCET 2020, Volume 1 /[electronic resource] :edited by Brijesh Iyer, A. M. Rajurkar, Venkat Gudivada. - 1st ed. 2020. - XII, 432 p. 210 illus., 142 illus. in color.online resource. - Advances in Intelligent Systems and Computing,11552194-5357 ;. - Advances in Intelligent Systems and Computing,335.

A Deep Learning Architecture for Corpus Creation for Telugu Language -- Entropy-Based Facial Movements Recognition using CPVM -- A Novel Approach of Image Processing to Identify Type and Name of Snake -- Imext Text Summarizer using Deep Learning -- Lane Detection and Collision Prevention System for Automated Vehicles.

This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9–11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.

ISBN: 9789811540295

Standard No.: 10.1007/978-981-15-4029-5doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Applied Computer Vision and Image Processing = Proceedings of ICCET 2020, Volume 1 /
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