Investigation of COVID-19 symptoms using deep learning based image enhancement scheme for x-ray medical images. - V. Pandimurugan; A. V. Prabu; Rajasoundaran Soundararajan; Sidheswar Routray; Nilesh Bhaskarrao Bahadure; D. Ratna Kishore (Int. J. Biom., 2023)

Internet of Things (IoT)-Based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care. - Ananthakrishnan Balasundaram; Sidheswar Routray; A. V. Prabu; Prabhakar Krishnan; Prince Priya Malla; Moinak Maiti (IEEE Internet Things J., 2023)

A hybrid deep learning for patient activity recognition (PAR): Real time body wearable sensor network from healthcare monitoring system (HMS). - Kishore Balasubramanian; A. V. Prabu; Mahammad Firose Shaik; R. Anjaneyulu Naik; Kanimozhi Suguna S. (J. Intell. Fuzzy Syst., 2023)

Artificial intelligence based health indicator extraction and disease symptoms identification using medical hypothesis models. - L. Sathish Kumar; Sidheswar Routray; A. V. Prabu; Rajasoundaran Soundararajan; V. Pandimurugan; Amrit Mukherjee; Mohammed S. Al-Numay (Clust. Comput., 2023)

An improved low-carbon intelligent agriculture system with energy optimization principles using wireless IoT environment. - Balamurali Pydi; A. V. Prabu; Amrit Mukherjee; Deepak Kumar Jain 001; S. Ravi Chand; Noel Anurag Prashanth (Trans. Emerg. Telecommun. Technol., 2024)

CNN-Based Deep Learning Model for Early Identification and Categorization of Melanoma Skin Cancer Using Medical Imaging. - V. Pandimurugan; Sultan Ahmad; A. V. Prabu; Mohammad Khalid Imam Rahmani; Hikmat Awad Mohammad Abdeljaber; Malathi Eswaran; Jabeen Nazeer (SN Comput. Sci., 2024)