Dr. Deepika

Education

Academic Experience

Research

Area of Interest

• Data Mining
• Machine Learning
• Database Management Systems
• Computer Networks

Research Summary

Research Publications

International Conferences

• Dr. K. Kalaiselvi and M. Deepika, “Reviews on Cultural Algorithm”, International Conference on Knowledge Discovery and Computational Intelligence (ICKDCI) 2017, Issue-04, pages:450-456. (Scopus Indexed)
• M. Deepika and Dr. K. Kalaiselvi, “Heuristic knowledge discovery for medical data using cultural algorithm”, 4^th International Conference on Cyber Security (ICCS) 2018, ISSN 2460 4010, Abstracted and indexed in Elsevier – SSRN.
• M. Deepika and K. Kalaiselvi, “A Empirical study on Disease Diagnosis using Data Mining Techniques”,  2018, Second International Conference on Inventive Communication and Computational Technologies (ICICCT). IEEE, 2018, ISBN: 978-1-5386-1974-2, (Scopus Indexed)
• M. Deepika and K. Kalaiselvi, “Medical Data Mining –Needs, Methods and Applications”, International Conference on Contemporary Researches in Engineering, Science, Management and Arts (ICCRESMA) 2020, ISBN: 978-93-8915-06-0.
• M. Deepika, “A Prognostic Thyroid disorder analysis based on Thyroid Test Measure with ECG”, International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE, 2021, ISBN:978-1-7281-5792-4, (Scopus Indexed)
• D. Karthika, M. Deepika, N. Radwan and A. H. Al-Kassem, “Genetic Algorithm-Based Feature Selection and Self-Organizing Auto-Encoder (SOAE) For SNP Genomics Data Classification,” 2022 International Conference on Cyber Resilience (ICCR), Dubai, United Arab Emirates, 2022, pp. 1-6, doi: 10.1109/ICCR56254.2022.9995974. (Scopus Indexed)

International Journals

• M. Deepika and Dr. K. Kalaiselvi, “Interactive Knowledge discovery using agent based Cultural Algorithm for Thyroid classification”, Journal of Advanced Research in Dynamical and Control Systems, volume – 11 2019, Issue – 04, (Scopus Indexed).
• M. Deepika and Dr. K. Kalaiselvi, “Classification of Hypo-Hyper Thyroid based on Heart rate, QRS duration and Thyroid test measure using Data Mining Techniques”, European Alliance for Innovation (EAI), Energy Web, 01 2021 – 03 2021 | Volume 8 | Issue 32 (Scopus Indexed).
• M. Deepika and K. Kalaiselvi, “A Review On Methods And Applications In Managing Medical Data Using Machine Learning”, 2020, Alochana Chakra Journal (ACJ) ISSN 2231-3990, (UGC-CARE-LIST 1).
• Deepika, M., and K. Kalaiselvi. “A Contemplative Analysis of Thyroid Disorders based on ECG Signal and Thyroid Test Measure.” EAI Endorsed Transactions on Energy Web 8, no. 32 (2020) (Scopus Indexed).
• Karthika, D., and M. Deepika. “A Review of Deep Learning Healthcare Problems and Protection Supports.” ICT Analysis and Applications: Proceedings of ICT4SD 2022 (2022): 409-416. (Springer Link)
• Deepika, M., and D. Karthika. “A Study of Emerging IoT Technologies for Handling Pandemic Challenges.” In Information and Communication Technology for Competitive Strategies (ICTCS 2021) ICT: Applications and Social Interfaces, pp. 485-494. Singapore: Springer Nature Singapore, 2022.

National Journal

• Deepika M , “Development of Smart Grid using Machine Learning methods for Smart Cities”, Rabindra Bharati Journal of Philosophy, UGC CARE Group 1.

Book Chapters

• K. Kalaiselvi and M. Deepika, published book chapter, “Machine Learning for Healthcare Diagnosis”, Machine Learning with Healthcare Perspective, Learning and Analytics in Intelligent Systems 13, 2020, ISBN: 978-3-030-40850-3, (Springer).
• M. Deepika and Dr.K.Kalaiselvi, published book chapter, “Machine Learning Based Data Analysis”,Machine Learning Approach for Cloud Data Analytics in IoT, ISBN: 978-1-119-78580-4, (Wiley Publications-Scopus Indexed).
• M. Deepika, published a book chapter titled, “Introduction to Mobile Computing”, for the book Hand Book on Latest Trends in Online Learning”. ISBN: 978-93-90956-37-1. April 2021.