Artificial intelligence in China : proceedings of the 2nd International Conference on Artificial Intelligence in China /

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Bibliographic Details
Meeting name:	International Conference on Artificial Intelligence in China (2nd : 2020 : Online).
Imprint:	Singapore : Springer, [2021]
Description:	1 online resource (x, 607 pages) : illustrations (some color)
Language:	English
Series:	Lecture notes in electrical engineering, 1876-1100 ; volume 653 Lecture notes in electrical engineering ; v. 653.
Subject:	Artificial intelligence -- Congresses. Electrical engineering. Electronic circuits. Signal processing. Image processing. Speech processing systems. Computers. Artificial intelligence. Computers. Electrical engineering. Electronic circuits. Image processing. Signal processing. Speech processing systems. Electronic books. Conference papers and proceedings. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12611288

Hidden Bibliographic Details
Other authors / contributors:	Liang, Qilian, editor. Wang, Wei (Professor of electronics and communication engineering), 1980- editor. Mu, Jiasong, editor. Liu, Xin, 1984- editor. Na, Zhenyu, editor. Cai, Xiantao, editor.
ISBN:	9789811585999 9811585997 9789811585982
Digital file characteristics:	text file PDF
Notes:	International conference proceedings. Conference held virtually due to the COVID-19 pandemic. Online resource; title from PDF title page (SpringerLink, viewed March 15, 2021).
Summary:	This book brings together papers presented at The 2nd International Conference on Artificial Intelligence in China (ChinaAI) 2020, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in artificial intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD and DOE).
Other form:	9811585989
Standard no.:	10.1007/978-981-15-8599-9

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