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Recent Advances in Computer Science and Communications (RACSC)

Publisher :

Bentham Science Publishers

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Peer reviewed only
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Open Access
  • Communications
  • Computer Science
e-ISSN :

2666-2566

Issue Frequency :

Monthly

Impact Factor :

2.5

p-ISSN :

2666-2558

Est. Year :

2020

Mobile :

97165571132

Country :

United Arab Emirates

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

info@benthamscience.net

Journal Descriptions

Recent Advances in Computer Science and Communications publishes full-length/mini reviews, research articles and guest edited thematic issues reporting theoretical and experimental advances as well as recent patents in all areas of computer science and communications. A selection of important and recent patents on computer science is also included in the journal. The journal is essential reading for all researchers involved in computer science and in the general areas of communications. Topics of interest include but are not limited to computer graphics, artificial intelligence, cybernetics, hardware architectures, software, modulation, signal design, and detection, information theory with application to communications, cognitive radio, physical layer security, cross-layer design and networking, current and future communication systems such as 4G, 5G, WiFi, etc. The journal also covers recent research (where patents have been registered) in fast emerging computation methods, bioinformatics, medical informatics, theory and methods involved and related to computer science and communications.


Recent Advances in Computer Science and Communications (RACSC) is :

International, Peer-Reviewed, Open Access, Refereed, Communications, Computer Science , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 2666-2558, E-ISSN - 2666-2566, Established in - 2020, Impact Factor - 2.5

Not Provide Crossref DOI

Indexed in Scopus

Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

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Publications of RACSC

  • dott image December, 2023

The Amalgamation of Federated Learning and Explainable ArtificialIntelligence for the Internet of Medical Things: A Review

The Internet of Medical Things (IoMT) has emerged as a paradigm shift in healthcare, integrating the Internet of Things (IoT) with medical devices, sensors, and healthcare systems. From peri...

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