The 8th International Conference on Advanced Machine Learning and Technologies and Applications AMLTA2022 is popular PDF and ePub book, written by Aboul Ella Hassanien in 2022-04-16, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, The 8th International Conference on Advanced Machine Learning and Technologies and Applications AMLTA2022 can be Read Online from any device for your convenience.

The 8th International Conference on Advanced Machine Learning and Technologies and Applications AMLTA2022 Book PDF 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.

Detail Book of The 8th International Conference on Advanced Machine Learning and Technologies and Applications AMLTA2022 PDF

The 8th International Conference on Advanced Machine Learning and Technologies and Applications  AMLTA2022
  • Author : Aboul Ella Hassanien
  • Release : 16 April 2022
  • Publisher : Springer Nature
  • ISBN : 9783031039188
  • Genre : Technology & Engineering
  • Total Page : 708 pages
  • Language : English
  • PDF File Size : 21,9 Mb

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