Aim & Scope

The Journal of Research and Review: Machine Learning aims to provide a platform for high- quality research, innovations, and critical reviews in the field of Machine Learning and Artificial Intelligence. The journal covers theoretical and applied studies, including supervised and unsupervised learning, deep learning, natural language processing, computer vision, data mining, predictive analytics, and emerging machine learning applications across diverse domains.

Journal of Research and Review: Machine Learning

About Us :Journal of Research and Review: Machine Learning is a scholarly platform dedicated to promoting innovative research and knowledge in Machine Learning and Artificial Intelligence. The journal welcomes original research papers, review articles, and emerging studies that contribute to the development and practical applications of machine learning across diverse fields.

journal Description
Publisher NameHBRP Publication Pvt. Ltd.
Journal NameJournal of Research and Review: Machine Learning
FrequencyTriannual (April, August, December)
Publication TypePrint & Online
Nature of JournalNational
e-ISSN3107-4820
Editor-In-ChiefDr. N.Geetha
Journal Starting Year2025
Subject (Domain Name)Computer Science
LanguageEnglish
Copyright© HBRP Publication Pvt. Ltd.
Company Email idcomputer@hbrppublication.com, info@hbrppublication.com
Company Phone No.0120- 4584629
Company Mobile No.08447293882, 09971598463
Company Websitewww.hbrppublication.com
Company Address8-B, Second Floor, Gyan Khand-4, Kala Patthar Road, Indirapuram, Ghaziabad, Uttar Pradesh-201014.

Focus and Scope

  • Machine Learning
  • Emerging wireless network security issues
  • Fault tolerance, dependability, reliability, and localization of fault
  • Network coding
  • Wireless telemedicine and e-health
  • Emerging issues in 3G and 4G networks
  • Network architecture
  • Multimedia networks
  • Cognitive Radio Systems
  • Cooperative wireless communications
  • Management, monitoring, and diagnosis of networks
  • Biologically inspired communication
  • Cross-layer optimization and cross-functionality designs
  • Data gathering, fusion, and dissemination
  • Networks and wireless networks security issues
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