2023 International Conference on Communication network and Machine learning

Welcome to CNML 2023!

Along with the remarkable growth in data traffic, new applications of communications continue to emerge and generate even more data traffic with vastly different performance requirements. This growth in the application domain brings forward an inevitable need for more intelligent processing, operation, and optimization of tomorrow’s communication networks. To realize this vision of intelligent processing and operation, there is a need to integrate machine learning, known to be the vessel that carries artificial intelligence, into the design, planning, and optimization of future communication networks.

2023 International Conference on Communication Networks and Machine Learning (CNML 2023) will be held from October 27 to 28 in Zhengzhou, China. It dedicates to create a platform for academic communications between specialists and scholars in the fields of communication networks and machine learning. The idea of the conference is for the scientists, scholars, engineers, and students from Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, establish business or research relations, and find global partners for future collaboration.

We cordially invite you to submit the paper and attend CNML 2023. Looking forward to your participation!

Important Dates


Full Paper Submission Date October 13, 2023	Registration Deadline October 18, 2023	Final Paper Submission Date October 21, 2023

Quick Registration

Paper
                                                            Template

Full
                                                            Paper Submission

Registration

Publication

Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in the Conference Proceedings, which will be submitted for indexing by EI Compendex, Scopus.

CNML Call for Paper

Topics of interest for submission include, but are not limited to:

Communication Networks

Machine Learning

Communication theory

Communication modeling theory and practice

Communication signal processing

Human-computer interaction

Green communication system

Network and wireless communication

Optical communication and optical network

5G communication and network

Remote sensing and satellite communications

Wire sensors and communication networks

Communication channels and mobile devices

Network and information security technology

Satellite communication technology

Modern optical fiber communication technology

Assembly language programming

Intelligent system

Communication artificial intelligence

Computer vision

Image processing

Communication big data

Machine learning 5G system

Security and protection of machine learning

Experimental evaluation of machine learning

Performance analysis of machine learning algorithms

Machine learning for user behavior prediction

Machine learning techniques for anomaly detection in communication
networks

Machine learning techniques for information-centric networks and data
mining

Techniques for efficient hardware implementation of neural networks in
communications

Distributed learning algorithms and implementations over realistic
communication networks

Performance analysis and evaluation of machine learning techniques in wired
/wireless communication systems