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2020 – today
- 2024
[c8]Atish Bagchi
, Siva Chandrasekaran:
Estimating and Forecasting the Carbon Content in the Products Carburised in a Gas Carburising Furnace Using a Self-exploratory Hybrid Deep Learning Framework. ICCAE 2024: 252-259- 2023
- [c7]Atish Bagchi, Siva Chandrasekaran:
IoT Edge-based Machine Learning Approach for Detection of Partial Discharge in Power Transformers. AIBThings 2023: 1-8 - [c6]Anika Kanwal, Siva Chandrasekaran, Adnan Akhunzada:
Stock Price Prediction using CuDNNLSTM and multiple CNN layers. AIBThings 2023: 1-5 - [c5]Ghazia Qaiser, Siva Chandrasekaran, Rifai Chai, Jinchuan Zheng:
Classification of DDoS traffic for Industrial Internet of Services using Deep learning approaches. AIBThings 2023: 1-9 - [c4]Anika Kanwal, Siva Chandrasekaran:
MGRU-M1dCNN: A Hybrid Model for Stock Price Prediction. ICCAE 2023: 50-54 - [c3]Monica Racha, Siva Chandrasekaran, Alex Stojcevski:
Artificial Intelligence-Based Smart Tele-Assisting Technology for First-Year Engineering Students. ICCAE 2023: 102-108 - [c2]Ghazia Qaiser, Siva Chandrasekaran, Rifai Chai, Jinchuan Zheng:
Classifying DDoS Attack in Industrial Internet of Services Using Machine Learning. ICCAE 2023: 546-550 - 2022
- [j1]Anika Kanwal, Man Fai Lau, Sebastian P. H. Ng, Kwan Yong Sim, Siva Chandrasekaran:
BiCuDNNLSTM-1dCNN - A hybrid deep learning-based predictive model for stock price prediction. Expert Syst. Appl. 202: 117123 (2022) - [c1]Monica Racha, Siva Chandrasekaran, Alex Stojcevski:
Work in Progress - Augmented Reality Smart Tele-Assisting Technology for Enhancing Engineering Education. EDUCON 2022: 2127-2130
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