2021 International Conference on Networking and Machine Learning (cnml 2021)

2021 International Conference on Networking and Machine Learning (CNML 2021) --EI Compendex, Scopus
Guilin, China | July 23-25, 2021
http://www.cnml2021.net/

◆Call For Papers:
AI/ML-based smart networking
Applications of green networking technologies and principles
Architectures, algorithms, and protocols
Big data analytics for social networks
More Topics, please visit : http://www.cnml2021.net/topics.html

◆Conference info:
Welcome to join in the 2021 International Conference on Networking and Machine Learning (CNML 2021), which will be held in Guilin, China during July 23-25, 2021. CNML 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/CNML2021/
If you have any question about submission, feel free to contact us: cnml2021@163.com
More Details about submission, please visit: http://www.cnml2021.net/submission.html

◆Speakers of CNML 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, machine learning, smart grid, and information and ne