The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) / Aboul Ella Hassanien, Rawya Y. Rizk, Václav Snášel, Rehab F. Abdel-Kader, editors.

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, c...

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Bibliographic Details
Corporate Author: AMLTA (Conference) Cairo, Egypt)
Other Authors: Hassanien, Aboul Ella (Editor), Rizk, Rawya Y. (Editor), Snášel, Václav, 1957- (Editor), Abdel-Kader, Rehab F. (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2022.
Series:Lecture notes on data engineering and communications technologies ; v. 113.
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Online Access:Click for online access
Description
Summary: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.
Item Description:Includes author index.
Physical Description:1 online resource (1 volume) : illustrations (black and white, and color).
ISBN:9783031039188
3031039181
Source of Description, Etc. Note:Print version record.