Work in Progress - Augmented Reality Smart Tele-Assisting Technology for Enhancing Engineering Education. - Monica Racha; Siva Chandrasekaran; Alex Stojcevski (EDUCON, 2022)

BiCuDNNLSTM-1dCNN - A hybrid deep learning-based predictive model for stock price prediction. - Anika Kanwal; Man Fai Lau; Sebastian P. H. Ng; Kwan Yong Sim; Siva Chandrasekaran (Expert Syst. Appl., 2022)

IoT Edge-based Machine Learning Approach for Detection of Partial Discharge in Power Transformers. - Atish Bagchi; Siva Chandrasekaran (AIBThings, 2023)

Stock Price Prediction using CuDNNLSTM and multiple CNN layers. - Anika Kanwal; Siva Chandrasekaran; Adnan Akhunzada (AIBThings, 2023)

Classification of DDoS traffic for Industrial Internet of Services using Deep learning approaches. - Ghazia Qaiser; Siva Chandrasekaran; Rifai Chai; Jinchuan Zheng (AIBThings, 2023)

MGRU-M1dCNN: A Hybrid Model for Stock Price Prediction. - Anika Kanwal; Siva Chandrasekaran (ICCAE, 2023)

Classifying DDoS Attack in Industrial Internet of Services Using Machine Learning. - Ghazia Qaiser; Siva Chandrasekaran; Rifai Chai; Jinchuan Zheng (ICCAE, 2023)

Artificial Intelligence-Based Smart Tele-Assisting Technology for First-Year Engineering Students. - Monica Racha; Siva Chandrasekaran; Alex Stojcevski (ICCAE, 2023)

Estimating and Forecasting the Carbon Content in the Products Carburised in a Gas Carburising Furnace Using a Self-exploratory Hybrid Deep Learning Framework. - Atish Bagchi; Siva Chandrasekaran (ICCAE, 2024)

Hybrid Deep Learning-Based Ensemble Model for Detecting Network-Based Cyber-Attacks of Industrial Internet of Services. - Ghazia Qaiser; Siva Chandrasekaran; Jinchuan Zheng; Rifai Chai (ITNAC, 2024)