Siva Chandrasekaran

According to our database, Siva Chandrasekaran authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the 34th International Telecommunication Networks and Applications Conference, 2024

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

Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

2023

Artificial Intelligence-Based Smart Tele-Assisting Technology for First-Year Engineering Students.

Monica Racha, Siva Chandrasekaran, Alex Stojcevski

Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

Classifying DDoS Attack in Industrial Internet of Services Using Machine Learning.

Ghazia Qaiser, Siva Chandrasekaran, Rifai Chai, Jinchuan Zheng

Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

MGRU-M1dCNN: A Hybrid Model for Stock Price Prediction.

Anika Kanwal, Siva Chandrasekaran

Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

Classification of DDoS traffic for Industrial Internet of Services using Deep learning approaches.

Ghazia Qaiser, Siva Chandrasekaran, Rifai Chai, Jinchuan Zheng

Proceedings of the IEEE International Conference on Artificial Intelligence, 2023

Stock Price Prediction using CuDNNLSTM and multiple CNN layers.

Anika Kanwal, Siva Chandrasekaran, Adnan Akhunzada

Proceedings of the IEEE International Conference on Artificial Intelligence, 2023

IoT Edge-based Machine Learning Approach for Detection of Partial Discharge in Power Transformers.

Atish Bagchi, Siva Chandrasekaran

Proceedings of the IEEE International Conference on Artificial Intelligence, 2023

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

Work in Progress - Augmented Reality Smart Tele-Assisting Technology for Enhancing Engineering Education.

Monica Racha, Siva Chandrasekaran, Alex Stojcevski

Proceedings of the IEEE Global Engineering Education Conference, 2022