IJSET Editorial Board Member Dr. Sudipta Chakrabarty

12 Aug
Posted on Author Naveen

 

Dr. Sudipta Chakrabarty
Affiliation Head of the Department CSE (Data Science), Techno Main Salt Lake
Email-Id: chakrabarty.sudipta@gmail.com
Publication:

Patents:

  • Indian Patent (Published), Patent Title: Application tool of comprehensive Services for Mental Health Hazards, Inventors of the Patent: Sudipta Chakrabarty, Hiren Kumar Deva Sarma.

Books:

  • Sudipta Chakrabarty, Dr. S. A. Mollah, “Computing Systems”, Publisher’s Name: J.B. Books & Learning, ISBN No: 978-93-83010-01-1
  • Sudipta Chakrabarty, Dr. S. A. Mollah, Dr. Sandip Banerjee, “Numerical Analysis and Computational Procedures” Publisher’s Name: Books and Allied (P) Ltd. ISBN No: 81-87134-10-0.
  • Sudipta Chakrabarty, “Basic Computations and Principles of Computer Programming”, Publisher’s Name: J.B. Books & Learning, ISBN No: 978-81-910235-2-7.
  • Sudipta Chakrabarty, Anirban Goswami, “Computer Architecture”, Publisher’s Name: J.B. Books & Learning, ISBN No: 978-93-83010-01-1.

Papers:

  • Sudipta Chakrabarty, Md Ruhul Islam, Hiren Kumar Deva Sarma, “An Approach to Discover Similar Musical Patterns,” in IEEE Access, vol. 10, pp. 47322-47339, 2022.
  • Sudipta Chakrabarty, Md Ruhul Islam, Hiren Kumar Deva Sarma, “Intelligent Music Abstraction Tool for improvising the Quality of Music Composition”, International Journal of Advanced Trends in Computer Science and Engineering, Warse, pp. 3641-3648, 2020.
  • Sudipta Chakrabarty, Md Ruhul Islam, Debashis De, “Modelling of Song Pattern Similarity using Coefficient of Variance”, International Journal of Computer Science and Information Sequrity (ISSN1947-5500), pp. 388-394, 2017.
  • Samarjit Roy, Sudipta Chakrabarty, Debashis De, “Time-Based Raga Recommendation and Information Retrieval of Musical Patterns in Indian Classical Music using Neural Network”, IAES International Journal of Artificial Intelligence (IJ-AI) (ISSN: 2252-8938), pp. 33-48, 2017.
  • Sudipta Chakrabarty, Samarjit Roy, Debashis De, “Automatic Raga Recognition using Fundamental Frequency Range of Extracted Musical Notes”, Elsevier, 337-345, 2014.
  • Sudipta Chakrabarty, Labony Saha, Subharanjan Basu, “Pulse: An Online Music Recommendation System for Socially-Driven Music Discovery”, International Journal of Science and Research Archive, vol. 15, Issue. 03, pp. 660-666, 2025.