Email: sheelana@skasc.ac.in
Total Experience | 19 years |
Under Graduate | MSC SOFTWARE ENGINEERING |
Post Graduate | M. Phil |
PhD Title | Acoustic Analysis for Human Voice Disorder Classification using Optimization and Machine Learning Techniques |
Number of Scholar Pursuing Under Your Guideship | 5 |
Scopus | 7 |
Web of Science | 7 |
Peer Reviewed | 7 |
Details of Publications | 1. “Student Performance Prediction using Random Decision (RD) Classification Algorithm”, International Journal of Mechanical Engineering, ISSN: 0974-5823, Vol. 7 No. 5 May 2022. (SCOPUS) https://kalaharijournals.com/resources/MAY_197%20(1)%20(1)%20(1)% |
Books Published (Till date) | 3 |
Details of Books | 1) “Diagnostic Handbook of Voice Pathology” – A Study on Voice Disorder Identification, N.A. Sheela Selvakumari, LAP Lambert Academic Publishing, Mauritius, ISBN: 978- 620-2-07962-4, 2017. 2. “Artificial Intelligence: Principles |
Book Chapters Published (Till date) | 1 |
Details of Book Chapters |
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Number of Patents Published | 2 |
Details of Patents |
Application No. 202231030959 A, 01/07/2022 2) IOT BASED WEARABLE MEDICAL MONITORING DEVICE, Design N |
Number of Funded Projects (Till date) | 3 |
Details of Funded Projects |
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