Moving Vehicle Detection and Classification Using Gaussian Mixture Model and Ensemble Deep Learning Technique. - Preetha Jagannathan; Sujatha Rajkumar; Jaroslav Frnda; Parameshachari Bidare Divakarachari; Prabu Subramani (Wirel. Commun. Mob. Comput., 2021)

Grid Search for Predicting Coronary Heart Disease by Tuning Hyper-Parameters. - Prabu Subramani; B. Thiyaneswaran; M. Sujatha; C. Nalini; Sujatha Rajkumar (Comput. Syst. Sci. Eng., 2022)

Improving medical communication process using recurrent networks and wearable antenna s11 variation with harmonic suppressions. - Prabu Subramani; Fadi Al-Turjman 001; Rajagopal Kumar 001; Anusha Kannan; Anand Loganthan (Pers. Ubiquitous Comput., 2023)

Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients. - Prabu Subramani; Srinivas Konda; Kavitha Rani Balmuri; Sujatha Rajkumar; Parameshachari Bidare Divakarachari (Pers. Ubiquitous Comput., 2023)

An IoT-Based Deep Learning Approach for Online Fault Detection Against Cyber-Attacks. - Sujatha Rajkumar; S. Lilly Sheeba; R. Sivakami; Prabu Subramani; A. Selvarani (SN Comput. Sci., 2023)