Improving performance of cooperative communication in heterogeneous manet environment. - S. K. B. Sangeetha; R. Dhaya 001; R. Kanthavel 001 (Clust. Comput., 2019)

Design of smart public transport assist system for metropolitan city Chennai. - R. Kanthavel 001; S. K. B. Sangeetha; K. P. Keerthana (Int. J. Intell. Networks, 2021)

An empirical study of vehicle to infrastructure communications - An intense learning of smart infrastructure for safety and mobility. - Dhaya Kanthavel; S. K. B. Sangeetha; K. P. Keerthana (Int. J. Intell. Networks, 2021)

Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers. - B. Shamreen Ahamed; Meenakshi Sumeet Arya; S. K. B. Sangeetha; Auxilia Osvin Nancy V (Appl. Comput. Intell. Soft Comput., 2022)

A proficient video recommendation framework using hybrid fuzzy C means clustering and Kullback-Leibler divergence algorithms. - H. Anwar Basha; S. K. B. Sangeetha; S. Sasikumar; J. Arunnehru; M. Subramaniam (Multim. Tools Appl., 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)

Advancing emotion recognition via EEG signals using a deep learning approach with ensemble model. - Rajeswari Rajesh Immanuel; S. K. B. Sangeetha (J. Intell. Fuzzy Syst., 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)