Dr. J. Jude Moses Anto Devakanth
Qualification : Ph.D. (Manonmaniam Sundaranar University)
Designation : Asst. Professor
Details of Educational Qualification:
Course | Specialization | Group | College Name/University | Year of Passing |
---|---|---|---|---|
Ph.D. | Computer Applications | Computer Applications | Manonmaniam Sundaranar University | 2024 |
M.Phil. | Computer Science | Computer Science | Manonmaniam Sundaranar University | 2016 |
M.C.A | Computer Applications | Computer Applications | Manonmaniam Sundaranar University | 2015 |
B.Sc. | Computer Science | B.Sc. | St. Joseph college of Arts and Science, Madras University | 2012 |
List of Publications
S.No | Title of the Paper | Full Details of Journal Name / Conference Name, Volume number, page number, Date |
---|---|---|
1 | “Fuzzy Rank Based Ensemble Deep Learning Model For Multilevel Classification Of Lung Diseases Using Chest X Ray Images” | International Journal Of Fuzzy Systems (SCI Journal- Communicated). |
2 | “An energy-aware heart disease prediction system using ESMO and optimal deep learning model for healthcare monitoring in IoT” | Journal of Biomolecular Structure and Dynamics, (2024) DOI: 10.1080/07391102.2023.2298736. (SCI Journal) |
3 | “A Modified Moth Flame Optimization Algorithm for Multi-level Classification of COVID-19 from Tuberculosis and Pneumonia Chest X Ray images using Deep learning” | Journal of Chemical Health Risks | ISSN:2251-6727. JCHR (2023) 13(3), pp.1177-1197. SCOPUS |
4 | "Feature Fusion Based Ensemble Method for Multi-Level Lung Diseases Classification Of X-Ray Images Using Deep Learning." | International Neurourology Journal ISSN:2093-4777. 27.4 (2023): 331-349. SCOPUS |
5 | “Evaluation On Machine Learning And Deep Learning Techniques For Classification Of Pulmonary Diseases/Lung Disorders Using X-ray Images” | Journal of Clinical Otorhinolaryngology, Head, and Neck Surgery ISSN:1001-1781. Vol.: 27 Issue: 1, 2023 pp 2420-2447. SCOPUS |
6 | “An Evolutionary Modified Dragonfly Neuro-Fuzzy Inference System for Classification of Tuberculosis” | European Chemical Bulletin, ISSN 2063-5346,pp:5117-5138, Volume- 12, Special Issue-1 (Part –A), 2023 doi: 10.48047/ecb/2023.12.sa1.504 SCOPUS |
7 | “A Review on AI Methods for Diagnosing Covid Variants using Radiology Imaging” | Eur. Chem. Bull. ISSN:2063-5346, Vol 12.2023 (special Issue 5), pp 1044-1058. SCOPUS |
8 | "Development of Deepfake Detection Techniques for Protecting Multimedia Information using Deep Learning," | 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India, 2024, pp. 786-791, doi: 10.1109/ICAAIC60222.2024.10575155. IEEE Xplore |
9 | “A Review on Feature Extraction and Classification Using Machine Learning and Deep Learning Approaches for Lung Disease Detection” | International Conference on Advanced Computing and Informatics (ICACI-2022), September 9-10,2022 Department of Artificial Intelligence, SIMATS School of Engineering, Chennai-105 |
10 | “A Novel Feature Extraction Technique for Detection of Tuberculosis from chest X-ray images” | National conference on Modern Advances in Teaching and Learning (NCMATL-2023), February 23,2020, Christopher Arts and Science College. Soorangudi. |