Journal of Research and Review: Machine Learning

This is blind peer-reviewed journal that provides a platform which aspires to cover all the aspects of Machine Learning. This journal provides a deep insight in advancement and research in the field of Machine Learning.

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