Hybrid Model for Movie Recommendation System Using Fireflies and Fuzzy C-Means. - M. Sandeep Kumar 001; Prabhu Jayagopal (Int. J. Web Portals, 2019)

Training Time Reduction in Transfer Learning for a Similar Dataset Using Deep Learning. - Ekansh Gayakwad; J. Prabhu; R. Vijay Anand; M. Sandeep Kumar 001 (FICTA (2), 2020)

Social economic impact of COVID-19 outbreak in India. - Sandeep Kumar M. 001; Maheshwari Venkatasen; Prabhu Jayagopal; Prasanna Mani; P. Jayalakshmi; Suganya P.; Benjula Anbu Malar Manickam Bernard; Jothikumar R. (Int. J. Pervasive Comput. Commun., 2020)

Pediatric and geriatric immunity network mobile computational model for COVID-19. - K. Banu Priya; P. Rajendran; Sandeep Kumar M. 001; Prabhu Jayagopal; Sukumar Rajendran; P. J. Kumar; P. Thanapal; J. Jabez Christopher; Jothikumar R. (Int. J. Pervasive Comput. Commun., 2020)

Delineation of field boundary from multispectral satellite images through U-Net segmentation and template matching. - M. Sandeep Kumar 001; Prabhu Jayagopal (Ecol. Informatics, 2021)

Queueing network model with jockeying to reduce the waiting time in the airport. - K. Banu Priya; M. Sandeep Kumar 001; M. Geetha; Prabhu Jayagopal; Maheshwari Venkatasen; Sukumar Rajendran; Prasanna Mani; P. Rajendran (Int. J. Syst. Syst. Eng., 2021)

Queueing network model with jockeying to reduce the waiting time in the airport. - Maheshwari Venkat; Prabhu Jayagopal; M. Geetha; M. Sandeep Kumar 001; K. Banu Priya; Sukumar Rajendran; Prasanna Mani; P. Rajendran (Int. J. Syst. Syst. Eng., 2021)

Language dialect based speech emotion recognition through deep learning techniques. - Sukumar Rajendran; Sandeep Kumar Mathivanan 001; Prabhu Jayagopal; Maheshwari Venkatasen; Thanapal Pandi; Manivannan Sorakaya Somanathan; Muthamilselvan Thangaval; Prasanna Mani (Int. J. Speech Technol., 2021)

Remote monitoring of indoor/outdoor movement in epidemiological situations utilising UWB transceivers. - Sukumar Rajendran; Prabhu Jayagopal; Sandeep Kumar Mathivanan 001; S. Prasanna; Manivannan Sorakaya Somanathan; P. J. Kumar; Maheshwari Venkatasen; Prasanna Mani (Int. J. Ultra Wideband Commun. Syst., 2021)

Detection and localisation of cars in indoor parking through UWB radar-based sensing system. - Sukumar Rajendran; Sandeep Kumar Mathivanan 001; Manivannan Sorakaya Somanathan; M. Geetha; Prabhu Jayagopal; Maheshwari Venkatasen; Prasanna Mani; J. Jabez Christopher (Int. J. Ultra Wideband Commun. Syst., 2021)

Effectiveness of Contact Tracing Using KNN for COVID-19. - Maheshwari Venkatasen; Sandeep Kumar Mathivanan 001; Prasanna Mani; Prabhu Jayagopal; Thanapal Pandi; Manivannan Sorakaya Somanathan; Upendra Babu K.; D. Elangovan (J. Mobile Multimedia, 2021)

Emphasizing privacy and security of edge intelligence with machine learning for healthcare. - Sukumar Rajendran; Sandeep Kumar Mathivanan 001; Prabhu Jayagopal; Kumar Purushothaman Janaki; Benjula Anbu Malar Manickam Bernard; Suganya Pandy; Manivannan Sorakaya Somanathan (Int. J. Intell. Comput. Cybern., 2022)

Deep Learning Speech Synthesis Model for Word/Character-Level Recognition in the Tamil Language. - Sukumar Rajendran; Kiruba Thangam Raja; Nagarajan G.; A. Stephen Dass; Sandeep Kumar Mathivanan 001; Prabhu Jayagopal (Int. J. e Collab., 2023)

Parameters Describing Student Learning Environments Through Experiential Learning Technologies for Entrepreneurial Creativity: A Study From a B School. - Dara Vijaya Lakshmi; M. Saradha; R. Karthik 002; Sandeep Kumar Mathivanan 001; Jyothi Chinna Babu; Lucia Vilcekova (J. Cases Inf. Technol., 2023)

Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique. - Baiju Babu Vimala; Saravanan Srinivasan; Sandeep Kumar Mathivanan 001; Venkatesan Muthukumaran; Jyothi Chinna Babu; Norbert Herencsar; Lucia Vilcekova (Sensors, 2023)

Simulating crop yield estimation and prediction through geospatial data for specific regional analysis. - Sandeep Kumar Mathivanan 001; Prabhu Jayagopal (Earth Sci. Informatics, 2023)

Uncertainty Quantification to Improve the Classification of Melanoma and Basal Skin Cancer Using ResNet Model. - D. Deepa; V. Muthukumaran; V. Vinodhini; S. Selvaraj; M. Sandeep Kumar 001; J. Prabhu (J. Uncertain Syst., 2023)

An Improved MangoNet Architecture Using Harris Hawks Optimization for Fruit Classification with Uncertainty Estimation. - Rajalaxmi Rajammal Ramasamy; M. Saradha; S. K. Fathima; V. E. Sathish Kumar; Sandeep Kumar M. 001; J. Prabhu (J. Uncertain Syst., 2023)

Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model. - Sukumar Rajendran; Ramesh Kumar Panneerselvam; Kumar Purushothaman Janaki; Vijay Anand Rajasekaran; Suganya Pandy; Sandeep Kumar Mathivanan 001; Prabhu Jayagopal (Big Data, 2023)

Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach. - P. Kavitha; G. Ayyappan; Prabhu Jayagopal; Sandeep Kumar Mathivanan 001; Saurav Mallik; Amal Al-Rasheed; Mohammed S. Alqahtani; Ben Othman Soufiene (BMC Bioinform., 2023)

Multimodal hybrid convolutional neural network based brain tumor grade classification. - A. Rohini; Carol Praveen; Sandeep Kumar Mathivanan 001; V. Muthukumaran; Saurav Mallik; Mohammed S. Alqahtani; Amal Al-Rasheed; Ben Othman Soufiene (BMC Bioinform., 2023)

TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique. - Syed Thouheed Ahmed; Syed Muzamil Basha; Muthukumaran Venkatesan; Sandeep Kumar Mathivanan 001; Saurav Mallik; Najah Alsubaie; Mohammed S. Alqahtani (BMC Medical Imaging, 2023)

An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare. - S. K. B. Sangeetha; Rajeswari Rajesh Immanuel; Sandeep Kumar Mathivanan 001; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2024)

Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications. - S. K. B. Sangeetha; C. Selvarathi; Sandeep Kumar Mathivanan 001; Jaehyuk Cho; Sathishkumar Veerappampalayam Easwaramoorthy (IEEE Access, 2024)

iLIAC: An approach of identifying dissimilar groups on unstructured numerical image dataset using improved agglomerative clustering technique. - Sreedhar Kumar S.; Syed Thouheed Ahmed; Afifa Salsabil Fathima; Sandeep Kumar Mathivanan 001; Prabhu Jayagopal; Abdu Saif; Sachin Kumar Gupta; Garima Sinha (Multim. Tools Appl., 2024)

Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach. - Balamurugan A. G; Saravanan Srinivasan; Preethi D; Monica P; Sandeep Kumar Mathivanan 001; Mohd Asif Shah (BMC Medical Imaging, 2024)

Efficient brain tumor grade classification using ensemble deep learning models. - Sankar M; Baiju BV; Preethi D; Ananda Kumar S; Sandeep Kumar Mathivanan 001; Mohd Asif Shah (BMC Medical Imaging, 2024)

Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network. - Saravanan Srinivasan; Kirubha Durairaju; K. Deeba; Sandeep Kumar Mathivanan 001; P. Karthikeyan; Mohd Asif Shah (BMC Medical Imaging, 2024)

A hybrid deep CNN model for brain tumor image multi-classification. - Saravanan Srinivasan; Divya Francis; Sandeep Kumar Mathivanan 001; Hariharan Rajadurai; Basu Dev Shivahare; Mohd Asif Shah (BMC Medical Imaging, 2024)

Dynamic AI-Enhanced Therapeutic Framework for Precision Medicine Using Multi-Modal Data and Patient-Centric Reinforcement Learning. - R. Gayathri; S. K. B. Sangeetha; R. Sangeetha; G. Leena Rosalind Mary; Sandeep Kumar Mathivanan 001; Usha Moorthy (IEEE Access, 2025)

An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data. - S. K. B. Sangeetha; Sandeep Kumar Mathivanan 001; V. Muthukumaran; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2025)

A comprehensive hybrid model: Combining bioinspired optimization and deep learning for Alzheimer's disease identification. - Chitradevi Dakshinamoorthy; Prabha S; Sandeep Kumar Mathivanan 001; Manu Singh; Saurav Mallik (Comput. Biol. Medicine, 2025)

Cervical Cancer Classification Using Deep Learning Approach Using Colposcopy Images. - Sundaranarayana Dayalane; Sankar Murugesan; Sandeep Kumar Mathivanan 001; Hariharan Rajadurai; Karthikeyan Panneer Selvam; Mohd Asif Shah (Neural Process. Lett., 2025)

A secure hybrid deep learning framework for brain tumor detection and classification. - Sandeep Kumar Mathivanan 001; Saravanan Srinivasan; Manjula Sanjay Koti; Virendra Singh Kushwah; Rose Bindu Joseph; Mohd Asif Shah (J. Big Data, 2025)