IEEE Transactions on Machine Learning in Communications and Networking (ITMLCN)
Journal Descriptions
The IEEE Transactions on Machine Learning in Communications and Networking publishes high-quality manuscripts on advances in machine learning methods for and applications to communications and networking. Furthermore, articles developing novel communication and networking techniques for distributed machine learning algorithms are of interest. Both theoretical contributions (including new theories, techniques, concepts, algorithms, and analyses) and practical contributions (including system experiments, prototypes, and new applications) are encouraged.
IEEE Transactions on Machine Learning in Communications and Networking (ITMLCN) is :-
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International, Peer-Reviewed, Open Access, Refereed, new theories, techniques, concepts, algorithms, analyses, system experiments, prototypes , Online , Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2831-316X, Established: 2023,
- Provides Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE