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Dr. Swarnamugi M

(Adjunct Faculty)
Assistant Professor
Qualification : M.Sc., M.Tech., Ph.D
Teaching experience: 14 years
Research Experience: 05 years
Email id : swarnamugim@jyotinivas.org


Area of Research

Artificial Intelligence, Machine Learning, IoT

Research Papers Published

  • . M. Swarnamugi, “CNN based Vehicle Classification for Intelligent Transportation System in Unstructured Environments”, International Journal of Computational Intelligence in Control, Volume 13, Issue 2, Pages: 119-126, Dec 2021, ISSN:0974- 8571 (Scopus Indexed)
  • . M. Swarnamugi, " CNN based Single-level and Multi-level Vehicle Classification Framework in Intelligent Transportation System," International Journal of Computational Intelligence in Control, Volume 13, Issue 2, Pages:137-144, Dec 2021, ISSN:0974-8571 (Scopus Indexed)
  • "Chatbot For Weather Information Using RASA", M Swarnamugi, Navajyoti, International Journal of Multi-Disciplinary Research Volume 5, Issue 1, August2020, ISSN 2456–3781
  • "Context-Aware Smart Reliable Service Model for Intelligent Transportation System based on Ontology", M. Swarnamugi, R. Chinnaiyan, Lecture Notes in Electrical Engineering, Springer International Publishing, Pg: 23 - 30, Jan 2020. ISSN: 1876-1100
  • "Heart Monitoring System Using IOT", Janisha K, Soundarya, M Swarnamugi, in the International Multidisplinary NavaJyoti Journal February 2019 issue.
  • “Cloud and Fog Computing Models for Internet of Things”, Published in the International Journal for Research In Applied Science and Engineering Technology ISSN: 2321-9653
  • “Outsourced Security Guard Service based on IoT”, M. Swarnamugi, International Journal of Innovative Research in Computer and Communication Engineering, ISSN (Online) : 2320 – 9801, ISSN (Print) : 2320 – 9798, Pp: 126 – 131, Vol. 5, Special Issue 2, April 2017.
  • “IoT Technologies and Machine Learning Algorithms – A Study”, M. Swarnamugi, International Journal of Engineering Sciences & Research Technology, ISSN: 2277- 9655, pp: 614-621, October 2016 (Impact Factor: 4.116, Index Copernicus Value: 3.0)
  • “Context - Aware Web Service Selection – A Negotiation Model”, Swarnamugi M, International Journal of Advanced Research in Computer Science and Software Engineering, IJARCSSE, ISSN 2277 128X, pp: 881 – 888, Vol 4, Issue 3, March 2014.
  • “Taxonomy of Web Service Selection”, Swarnamugi M, International Journal of Computer Applications, IJCA, ISSN 0975 8887, pp: 18 – 22, Dec 2013.
  • “Evaluation of QoS based Web- Service Selection Techniques for Service Composition”, Sathya M, Swarnamugi M, Dhavachelvan P, Sureshkumar G, International Journal on Software Engineering, IJSE, CSC Journals, ISSN 2180-1320, pp: 73 – 90, Vol: 1, No: 5, Malaysia, Jan/Feb 2011.
  • “ Specification Criteria for Web Service Selection Approaches”, Swarnamugi M, Sathya M International Journal on Computer Engineering & Information Technology, IJCEIT, SERC, ISSN 0974-2034, pp: 29 – 38, Vol: 23, No: 01, May 2010.
International Conference Publication

  • . M. Swarnamugi, “Face mask Detection using YOLO V5”, in the National Conference on Current trends and Future Perspectives In Computing and Information Technology, Organized by department of Computer Science, JNC, Bangalore, March 2022.
  • . M. Swarnamugi, “Secure File Storage on Cloud using Cryptography”, in the National Conference on Current Trends and Future Perspectives In Computing and Information Technology, Organized by Department of Computer Science, JNC, Bangalore, March 2022.
  • "Smart and Reliable Transportation System based on Message Queuing Telemetry Transport Protocol," M. Swarnamugi and R. Chinnaiyan, 2019 International Conference on Intelligent Computing and Control Systems (ICCS), Publisher: IEEE, IEEE Xplore: 16 April 2020. DOI: 10.1109/ICCS45141.2019.9065789. ISBN: 978-1- 5386-8113-8
  • “IoT Hybrid Computing Model for Intelligent Transportation System (ITS)”, Presented in the IEEE International Conference on Computing Methodologies and Communications, Organized by Surya Engineering College, Erode, February 2017 and Published in IEEE Xplore: 11 October 2018. DOI: 10.1109/ICCMC.2018.8487843, ISBN:978-1-5386-3452-3