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Department of Computer Science

Publications of the Faculty

  • Naga Subrahmanyeswari.N published a paper titled “Characteristics Diagnosis of White Blood Cells Using CNN” in Journal of Critical Reviews (Scopus Indexed) in May, 2020. ISSN- 2394-5125.
  • G.Satya Suneetha and Naga Subrahmanyeswari.N published a paper titled “Amalgamation of Internet of Things with Artificial Intelligence” in Advances And Applications In Mathematical Sciences Volume 21,Issue 1,October 2021 which is a UGC approved and listed journal and indexed/reviewed in   Emerging Sources Citation Index(Web of Science),Mathematical Reviews (MathSciNet)
  • Naga Subrahmanyeswari.N, and G.Satya Suneetha published a paper titled “Classification Evaluation Metrics in Machine Learning”in Journal of Emerging Technologies and Innovative Research Volume 9 Issue 10, October 2022.
  • Naga Subrahmanyeswari.N published a paper titled "Secure Cloud Enclave: An Effective approach to enhance Cloud Security" in International Journal of Multidisciplinary Educational Research Volume 12 – Issue 10(1) ISSN : 2277 – 7881, October, 2023
  • G.Sunil Babu, N.Naga Subrahmanyeswari, S.Kavitha,“Ensuring Integrity in cloud Computing” in International Journal of Computer Science and Technology, Vol3, Issue No2 in April, 2012.
  • N Nagasubrahmanyeswari, Gangadhara Rao Dasari, “File Replication and Consistency Maintenance Techniques” in International Journal of Computer Science and Information Technologies, Vol3, Issue No3, in September, 2012.
  • B V V Anusha, N. Naga Subrahmanyeswari, “A New Approach For Automate Test case Generation Covering  Branches In Software Testing” in International Journal of Research in Computer and Communication Technology, Vol3, Issue No9, in September, 2014.
  • R.Veera Meenakshi, N.Naga Subrahmanyeswari, “A Dynamic Variant of AP Clustering to Achieve Efficient Clustering Performance” in International Journal of Computer Science and Technology, Vol3, Issue No., in September, 2015.
  • S. Lakshhmi Prasanna, N.N.S. Eswari, “Extracting high probability features documents using Rank based similarity search” in International Journal of Merging Technology and Advanced Research in Computing, Vol4, Issue No.3 in September, 2016.