Items where Author is "Rajasekar, M"

Rukmani Devi, S and Selvaraju, P and Padma, R and Balamurugan, A. G and Pandiarajan, T and Rajasekar, M (2025) Data Science Applications Using Extreme Gradient Boosting (XGBoost) and Random Forest for Predictive Analytics in Financial Sectors: Algorithm Optimization, Intelligent Systems, Blockchain, Cryptography and Cybersecurity. Mathematical Methods in Artificial Intelligence. pp. 223-234.

Rukmani Devi, S. and Selvaraju, P and Padma., R and Shaji, Alan and Sasikala, P and Rajasekar, M (2025) Deep Learning with Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN) for AI-Driven Smart Home Automation. In: Mathematical Methods in Artificial Intelligence. De Gruyter, pp. 153-164. ISBN 9783112234969

Rukmani Devi, S and Selvaraju, P. and Akila, A and Sasikala, P and Selvi, E and Rajasekar, M (2025) Exploring AI for Smart Homes: Combining Capsule Networks and Bayesian Neural Networks for Enhanced Efficiency. In: UNSPECIFIED1.

Legapriyadharshini, N and Nanthini, S and Parameswari, R and Kalarani, P and Vijayalakshmi, R and Rajasekar, M (2025) Predictive Maintenance in Smart Systems with Temporal Convolutional Networks (TCN) and Autoencoders: Algorithm Optimization, Intelligent Systems, Blockchain, Cryptography and Cybersecurity. In: IEEE.