Transfer learning-based deep CNN model for multiple faults detection in SCIM. - Prashant Kumar; Ananda Shankar Hati (Neural Comput. Appl., 2021)

Development of energy efficient drive for ventilation system using recurrent neural network. - Prince 001; Ananda Shankar Hati; Prasun Chakrabarti; Jemal H. Abawajy; Ng Wee Keong (Neural Comput. Appl., 2021)

Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors. - Prashant Kumar; Ananda Shankar Hati (Expert Syst. Appl., 2022)

Convolutional neural network-long short term memory optimization for accurate prediction of airflow in a ventilation system. - Prince 001; Ananda Shankar Hati (Expert Syst. Appl., 2022)

Depolarization Current Prediction of Transformers OPI System Affected From Detrapped Charge Using LSTM. - Aniket Vatsa; Ananda Shankar Hati (IEEE Trans. Instrum. Meas., 2022)

Insulation aging condition assessment of transformer in the visual domain based on SE-CNN. - Aniket Vatsa; Ananda Shankar Hati (Eng. Appl. Artif. Intell., 2024)

Enhanced Transformers Insulation Assessment of Noise-Affected Time-Domain Spectroscopy Using Hybrid EMD-en-de-LSTM. - Aniket Vatsa; Ananda Shankar Hati (IEEE Trans. Instrum. Meas., 2025)

Prediction of energy consumption and airflow of a ventilation system: A SAGA-optimised back-propagation neural network-based approach. - Prince 001; Byungun Yoon; Ananda Shankar Hati; Prashant Kumar; Prasun Chakrabarti (Expert Syst. Appl., 2026)