Theetchenya Selvaraju, Vidyabharathi Dakshinamurthi, Galeebathullah Badurudeen, Abinaya Kalyanaraman, Ajithkumar Kumar, Dhanusree Sampath, “Sign Language Recognition: Enhancing Communication for the Hearing and Speaking Impaired Using Hybrid Model,” AIP Conference Proceedings, Vol 3279, No. 1, pp. 1-5, 2025, DOI: https://doi.org/10.1063/5.0263062
Theetchenya Selvaraju, Vidyabharathi Dakshinamurthi, Galeebathullah Badurudeen, Nithin Prabhakaran, Prasad Gopi, Muhammad Afzal Nazeer Hussain, “Food Detection and Estimation of Calories and Other Macro-Nutrients and Features to Support Healthy Lifestyle,” AIP Conference Proceedings, Vol 3279, No. 1, pp. 1-5, 2025, DOI: https://doi.org/10.1063/5.0263063
Sameer Yadav, J. Sharmila Joseph, Mayank Nagar, Vidyabharathi Dakshinamurthi, Usha M, Vedant Dubey, “Optimized BIGRU-Attention Network for OSA and Cardiovascular Disease Prediction with Risk Factor Classification,” IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG), IEEE, 2025, DOI: 10.1109/ICTBIG64922.2024.10911218
Vidhya Gopal, Vidyabharathi Dakshinamurthi, Theetchenya Selvaraju, Prithvisri Jegadeesan, Pavithra Sridhar, Purnanchale Kamalakannan, “An Automated Water Recirculation in Smart IOT-Driven Data Analytics for Aquaculture: A Survey,” AIP Conference Proceedings, Vol 3279, No. 1, pp. 1-5, 2025, DOI: https://doi.org/10.1063/5.0262905
D Vidyabharathi, B Sathiya, G Mohanraj, S Theetchenya, B Galeebathullah, G Vidhya, “A Web-Based System to Forecast Heart Disorder by Using Machine Learning Algorithm,” International Health Informatics Conference, LNNS, Vol. 1113, pp. 11-14, Springer Nature, 2023, DOI: https://link.springer.com/chapter/10.1007/978-981-97-7190-5_17
Prabu Selvam, Muhammad Faheem, Vidyabharathi D, Akshaj Nevgi, R. Bhuvaneswari, K. Deepak, Joseph Abraham Sundar, “Batch Normalization Free Rigorous Feature Flow Neural Network for Grocery Product Recognition,” IEEE ACCESS, Vol 12, pp. 68364-68381, 2024
Vidyabharathi D, Yuva Krishna Aluri, B. Aruna Devi, N. Alangudi Balaji, “Dry Eye Disease Classification Using AlexNet Classifier,” International Journal of Intelligent Systems and Applications in Engineering, Elsevier, Vol. 12, No. 7, pp. 263-271, 2024
D Vidyabharathi, V Mohanraj, J Senthil Kumar, Y Suresh, “Achieving generalization of deep learning models in a quick way by adapting T-HTR learning rate scheduler,” Personal and Ubiquitous Computing, Springer, Vol. 27, No. 3, pp. 1335-1353, 2023
D Vidyabharathi, V Mohanraj, “Hyperparameter Tuning for Deep Neural Networks Based Optimization Algorithm,” Intelligent Automation and Soft Computing, Tech Science Press, Vol. 36, No. 3, pp. 2559-2573, 2023
D Vidyabharathi, S Sivanesh, S Theetchenya, G Vidhya, “Enhancing crack detection with convolutional neural networks and oriented non-maximal suppression,” Journal of Intelligent & Fuzzy Systems, IOS Press, Vol. 45, No. 6, pp. 11075-1109, 2023
Marimuthu M, Mohanraj G, Karthikeyan D, Vidyabharathi D, “Safeguard confidential web information from malicious browser extension using encryption and isolation techniques,” Journal of Intelligent & Fuzzy Systems, IOS Press, Vol. 45, No. 4, pp. 6145-6160, 2023, DOI: 10.3233/JIFS-233122
L. Raja, B. Jaishankar, Ashwini A.M., Vidyabharathi D, “A novel epilepsy seizure prediction model using deep learning and classification,” Healthcare Analytics, Elsevier, Vol. 4, 2023, DOI: https://doi.org/10.1016/j.health.2023.100222
Vidyabharathi D, Syed Ibad Ali, T Karthikeyan, Nanda Satish Kulkarni, “Causal Convolution Employing Almeida–Pineda Recurrent Backpropagation for Mobile Network Design,” ICTACT Journal on Communication Technology, Vol. 14, No. 4, pp. 3091-3096, 2023
Vidyabharathi D, G. P. Suja, P. Murugan, SK Riyaz Hussain, “Deep Learning-Based Image Dehazing and Visibility Enhancement for Improved Visual Perception,” ICTACT Journal on Image & Video Processing, Vol. 14, No. 2, pp. 3122-3128, 2023
M Marimuthu, G Vidhya, J Dhaynithi, G Mohanraj, Vidyabharathi D, N Basker, “Detection of Parkinson’s disease using machine learning approach,” Annals of the Romanian Society for Cell Biology, Vol. 25, No. 5, pp. 2544-2550, 2021
Basker N, Theetchenya S, Vidyabharathi D, Dhaynithi J, Mohanraj G, Marimuthu M, Vidhya G, “Breast cancer detection using machine learning algorithms,” Annals of the Romanian Society for Cell Biology, Vol. 25, No. 5, pp. 2551-2562, 2021
J Dhayanithi, D Balamurugan, M Marimuthu, Vidyabharathi D, Basker N, Vidhya G, Theetchenya S, Mohanraj G, “An Evaluation Framework and Analysis of Auto Assessing the Programming Courses during the COVID-19 Pandemic,” Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, pp. 4918-4923, 2021
G Mohanraj, M Marimuthu, N Basker, J Dhayanithi, D Vidyabharathi, “Virtual health assistance system,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 8343-8348, 2021
Mohanraj G, Marimuthu M, Vidyabharathi D, Theetchenya S, Vidhya G, “Smart Car Monitoring System,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 5763-5773, 2021
Basker N, Marimuthu M, Theetchenya S, Vidyabharathi D, Vidhya G, “Ascertaining Of Trustworthiness in the News Articles on Social Media with Deep Neural Network Architectures,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 4528-4533, 2021
Vidyabharathi D, Theetchenya S, Marimuthu M, Vidhya G, “Sentiment Analysis Algorithms and its diverse applications: A survey,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 3702-3709, 2021
Theetchenya S, Vidyabharathi D, Vidhya G, Marimuthu M, “Automated Intravenous Fluid Level Monitoring System for Hospitals,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 3697-3701, 2021
Vidyabharathi D, Marimuthu M, Theetchenya S, Vidhya G, Basker N, Mohanraj G, Dhaynithi J, “An Effective Sentiment Analysis of Social Media Data Using Deep Recurrent Neural Network Models,” Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, pp. 4898-4908, 2021
Vidhya G, Basker N, Dhaynithi J, Marimuthu M, Theetchenya S, Vidyabharathi D, Mohanraj G, “Active auditing Services for Storing and Securing the Data in the Cloud,” Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, pp. 4924-4930, 2021
Theetchenya S, Vidyabharathi D, Vidhya G, Basker N, Marimuthu M, Dhaynithi J, Mohanraj G, “An Effective Solid Waste Management for Modern Cities based on IoT,” Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, pp. 4909-4917, 2021
Theetchenya S, Vidhya G, Vidyabharathi D, Basker N, Vinothkumar R B, Marimuthu M, Mohanraj G, “An Automated Irrigation Level Control using GSM in Agriculture,” International Journal of Advanced Science and Technology, Vol. 29, No. 7, pp. 12168-12174, 2020
Vidyabharathi D, Vinothkumar R B, Theetchenya S, Kowsalya M, Lhavanya T V, Nishanthi P, “An Enhanced Linear Regression model for Controlled Environment Agriculture,” International Journal of Advanced Science and Technology, Vol. 29, No. 8, pp. 2235-2242, 2020
Vidhya G, Marimuthu M, Vinothkumar R B, Vidyabharathi D, Theetchenya S, Basker N, Mohanraj G, “An enhancement of Apriori Algorithm for Shopping Cart Analysis of Customers,” International Journal of Advanced Science and Technology, Vol. 29, No. 8, pp. 2124-2131, 2020
Kanimozhi M, Vidyabharathi D, Jayareka K S, Theetchenya, “An Image Based Approach To Detect Counterfeit Products using MSER Algorithm,” Suraj Punj Journal For Multidisciplinary Research, Vol. 9, No. 44, pp. 17-22, 2019
J. Cibia D, Vidyabharathi, “Personalized Point of Interest Travel Recommendation Based on Social Media Users,” International Journal for Trends in Engineering & Technology, Vol. 14, No. 1, pp. 5-10, 2016
Vidyabharathi D, L. Leema Priyadarsini, “An Approach to Verification Witness by Information Reuse,” International Journal for Trends in Engineering & Technology, Vol. 3, No. 3, pp. 109-111, 2015
N Padma Priya, D Vidyabharathi, “An Unambiguous Clustering and Ranking of Software Cost Estimation Models by Modified Scott-Knott Approach,” Canada’s Journal of Global Policy Analysis, Vol. 4, No. 2, pp. 785-790, 2014
N. Padma Priya, D. Vidyabharathi, “Scott Knott Test Based Effective Software Effort Estimation through a Multiple Comparison Algorithms,” International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, No. 1, pp. 2257-2262, 2014
Vidyabharathi D, K. Chinnaiyan, “Relevance Feature Analysis for High Dimensional Data using Feature Subset Selection Algorithm,” International Journal of Advanced and Innovative Research, Vol. 3, No. 3, pp. 197-201, 2014
International Conferences
Mahadevi M, Marimuthu M, Poornima I, Gethzi Ahila, Vijayalakshmi K, Vidyabharathi D, Priya G Sakthi, “Deep Learning for the Investigation of Lung and Pancreatic Tumors”, 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), IEEE, pp.669–674, 2023
P V R Subba Rao, B Natarajan, R Bhuvaneswari, Vidyabharathi D, “Outperforming Cryptocurrency Price Prediction Using Deep Reinforcement Learning Approach”, International Conference on Computing, Communication, and Intelligent Systems, IEEE, pp.713–719, 2023
R. Deepa, D. Vidyabharathi, Hemlata, Kalaivaani P.C.D, M. Marimuthu, Mohamed Ismail K, “Revolutionizing Hand Gesture Recognition: A Transfer Learning Approach using Surface Electromyography and Convolutional Neural Networks”, International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), IEEE, pp.1–4, 2023
Mohan Babujii G, Murali Krishnan P, Prasanna N R, Sairam P L, Vidyabharathi D, “CAP: Child Abuse Risk Prediction and Prevention Framework Using AI and Dark Web”, International Conference on Agriculture, Healthcare and Green Computing Perspectives of Communication Technologies, pp.208, 2022
D. Vidyabharathi, Harini K K, Mohamed Niyas R, “A Technique For The Early Detection of Lung Cancer using Machine Learning”, International Conference on Agriculture, Healthcare and Green Computing Perspectives of Communication Technologies, pp.205, 2022
D. Vidyabharathi, M. Marimuthu, G. Vidhya, S. Theetchenya, “Automatic Ascertaining Of Trustworthiness in the News Articles on Social Media with Deep Neural Network Architectures”, ICARA’2020 - International Conference on AI, Robotics and Automation, pp.215–219, 2020
S. Theetchenya, G. Vidhya, M. Marimuthu, D. Vidyabharathi, “Automated Intravenous Fluid Level Monitoring System for Hospitals”, ICARA’2020 - International Conference on AI, Robotics and Automation, pp.220–223, 2020
G. Vidhya, D. Vidyabharathi, S. Theetchenya, M. Marimuthu, “Secure Data Storage with Dynamic Auditing Services in the Cloud”, ICIHPE’2020 - International Conference on Advances in IoT, High Performance and Edge Computing, pp.88–92, 2020
Vidhya G, Sakthivel S, Vidyabharathi D, Theetchenya S, “Energy Efficient Hierarchical Routing Chain Based Clustering for Wireless Sensor Networks”, ASTMLS-2020 - International Conference on Applied Science, Technology, Management and Language Studies, pp.241, 2020
Vidyabharathi D, MohanBabujii G, Theetchenya S, Vidhya G, “IoT Based Solid Waste Management for Modern Cities”, ASTMLS-2020 - International Conference on Applied Science, Technology, Management and Language Studies, pp.248, 2020
Theetchenya S, Vidyabharathi D, Vidhya G, Jaisree V, “A Sentiment Analysis of Social Media Data using Deep Recurrent Neural Network Models”, ASTMLS-2020 - International Conference on Applied Science, Technology, Management and Language Studies, pp.251, 2020
K. Nandhini Devi, D. Vidyabharathi, “Identification of Latent Aspects Using Bayesian Non-Parametric Models”, International Conference on Intelligent Computing Systems (ICICS 2017), pp.516–526, Elsevier’s SSRN eLibrary – Journal of Information Systems & eBusiness Network, ISSN: 1556-5068, 2017
Book Chapters
Integrating genomic data and genetic risk factors with AI for predicting susceptibility to Alzheimer's disease, Parveen N, Vidyabharathi D, Shaik N, Nivas D.R., AI-Driven Alzheimer's Disease Detection and Prediction, 2024, pp. 320–341
Nearest-neighbor approaches in earth observation: A comparative analysis, Srijayanthi S, Vidyabharathi D, Kumar S, Manikandan R, Novel AI Applications for Advancing Earth Sciences, 2023, pp. 291–314
Patent
Optimized Tamil Chatbot Using MBERT for Rural Classrooms Through Multilingual Conversations: Bridging the Gap in Rural School Education,
Inventors: Dr. Vidyabharathi D, Ms. Theetchenya S, Dr. Vidhya G, Application No.: 202541037132 , Filed: 17/04/2025 Published: 16/05/2025
Sign Language Recognition for Enhancing Communication for the Hearing and Speaking Impaired
Inventors: Ms. Theetchenya S, Dr. Vidyabharathi D, Dr. Ramya P, Dr. Vidhya G, Application No.: 202541044266 Filed: 07/05/2025
A Simple Deep Learning Model Utilizing Multi-Channel EEG Signal Data with Optimal Time-Domain Features for Accurate Schizophrenia Detection
Inventors: Dr. P. Ramya, Dr. A. C. Kaladevi, Ms. S. Theetchenya, Ms. D. Vidyabharathi, Ms. G. Vidhya,Application No.: 202541061342 Filed: 26/06/2025
Research Projects
Financial Grant of Rs.93,000/- Received from AICTE to conduct ONE WEEK AICTE- ISTE
SPONSORED REFRESHER COURSE ON “INTELLIGENT COMPUTING USING
PYTHON” during the year 2020
Applied a proposal in the year 2024 under the scheme Cognitive Science Research Initiative (CSRI),”Enhancing graduate outcomes in higher education institutions to Achieve higher levels of career choices through cognitive skills and Adaptive learning”, for the duration 36 months with the budget RS.39,53,598/-
Acted as Expert for NBA mock Inspection - Computer Technology department at Thiagarajar Polytechnic College 2024
Received appreciation for handling a session CO PO attainment in association with ISTE chapter
Acted as Mentor for a Team (NIT Silchar) in Smart India Hackathon Software Edition Grand Finale 2022
Completed Certification on CDAC Cybersecurity course in 2023, Infosys Springboard Artificial Intelligence in 2024
Received Best Paper award for an outstanding contribution at the GREEN COMPUTING FOR COMMUNICATION TECHNOLOGIES (ICGCCT - 2024)
Secured Topper 5% for the NPTEL Course 'Distributed Systems' during Jul-Sep 2024
Secured Topper 1% in the course 'Introduction to Internet of Things' during Jan-Apr 2024
Secured Elite & Silver for the NPTEL Course 'Software Conceptual Design' during Aug-Sep 2023
Secured Elite & Silver for the NPTEL in the course 'Cloud Computing and Distributed System' during Jan-Mar 2023
Received ‘Best Researcher Award‘ from Scientific Laurels, approved and registered by the Ministry of Corporate Affairs (MCA), Govt. of India. Accredited by the World Research Council (WRC), American Chamber of Research, TIMES OF RESEARCH (TOR), and UNITED MEDICAL COUNCIL (UMC), ensuring global recognition and credibility.