2021 International Conference on Artificial Intelligence, Automation and Algorithms (ai2a 2021)

2021 International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2021) --EI Compendex, Scopus
Guilin, China | July 23-25, 2021
http://www.icai2a.net/

◆Call For Papers:
Artificial Intelligence Tools & Applications
Neural Networks
Information Retrieval
Knowledge-based Systems
Machine learning and deep learning
Natural Language Processing
Neural Networks
More Topics, please visit : http://www.icai2a.net/topics.html

◆Conference info:
Welcome to join in the 2021 International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2021), which will be held in Guilin, China during July 23-25, 2021. AI2A 2021 is technically supported by University of Calabria, National Chiao Tung University, Southern University of Science and Technology and so on.

◆Publication:
All registered and presented papers will be published in the volume of conference proceeding, published by Journal of Physics: Conference Series (JPCS), indexed by EI Compendex, Scopus, Conference Proceedings Citation Index—Science (CPCI-S), Chemical Abstracts Service and other related databases.

◆Submission Method (Full paper / Abstract):
Electronic Submission System: https://cmt3.research.microsoft.com/AI2A2021/
If you have any question about submission, feel free to contact us: sub@icai2a.net
More Details about submission, please visit: http://www.icai2a.net/submission.html

◆Speakers of AI2A 2021:
1. Prof. Saman Halgamuge, The University of Melbourne, Australia (Fellow IEEE)
Prof Saman Halgamuge is a Fellow of IEEE, a Professor in the School of Electrical, Mechanical and Infrastructure Engineering and a Distinguished Speaker/Lecturer on Computational Intelligence (2019-2021).

2. Prof. Dapeng Oliver Wu, University of Florida, USA (Fellow IEEE)
He is a professor at the Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL. His research interests are in the areas of networking, communications, signal processing, computer vision, machin