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The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)/ edited by Aboul Ella Hassanien ... [et al.].
其他題名:	AMLTA 2022
其他作者:	Hassanien, Aboul Ella.
團體作者:	AMLTA (Conference)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xvi, 699 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-03918-8
ISBN:	9783031039188

The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)
The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)[electronic resource] /AMLTA 2022edited by Aboul Ella Hassanien ... [et al.]. - Cham :Springer International Publishing :2022. - xvi, 699 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v. 1132367-4520 ;. - Lecture notes on data engineering and communications technologies ;v. 113..

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.

ISBN: 9783031039188

Standard No.: 10.1007/978-3-031-03918-8doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q342 / .A55 2022

Dewey Class. No.: 006.31

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