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About CNML 2024
About to CNML 2024 —— 2024 2nd International Conference on Communication Networks and Machine Learning 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. 2024 2nd International Conference on Communication Networks and Machine Learning (CNML 2024) will be held from October 25 to 27 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 2024. Looking forward to your participation! |  |
Important Dates
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| SubmissionDeadline August 23, 2024 | October 5, 2024 | Registration Deadline September 21, 2024 | Conference Date October 25-27, 2024 |
Speakers
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Publication
All papers,both invited and contributed, the accepted papers, will be published for inclusion into Conference proceedings with meeting scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing.
Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
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