Welcome to CNML 2025 !
2025 3rd International Conference on Communication Networks and Machine Learning
The 2025 3rd International Conference on Communication Networks and Machine Learning (CNML 2025) will be held on February 21-23, 2025 in Nanjing, China.
CNML 2025 is to bring together innovative academics and industrial experts in the field of communication networks and machine learning to a common forum.
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 sincerely invite you to participate in CNML 2025 and look forward to seeing you in Nanjing!
Full Paper Submission Date December 20, 2024 | Notification Deadline January 6, 2025 | Registration Deadline January 15, 2025 | Conference Dates February 21-23, 2025 |
Call For Papers
·Communication Networks
· Communication theory
· Communication modeling theory and practice
· Communication signal processing
· ...
· Machine Learning
· Intelligent system
· Communication artificial intelligence
· Computer vision
· ...
Publlication
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. All conference proceedings paper can not be less than 8 pages.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or 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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