Items where Author is "Selvaraju, P."

Article

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 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. Mathematical Methods in Artificial Intelligence: Intelligent Systems. pp. 215-226.

Lakshmikaanth, D. and Selvaraj, A. and Selvaraju, P. and Jose, S. Dilip (2023) HALL AND HEAT SOURCE EFFECTS OF FLOW PAST A PARABOLIC ACCELERATED ISOTHERMAL VERTICAL PLATE IN THE PRESENCE OF CHEMICAL REACTION AND RADIATION. JP Journal of Heat and Mass Transfer. pp. 105-126. ISSN 09735763

Prasanth, I. S. N. V. R. and Jeevanandam, Prabahar and Selvaraju, P. and Sathish, K. and Hasane Ahammad, S. K. and Sujatha, P. and Kaarthik, M. and Mayakannan, S. and Sasikumar, Bashyam and Jahan, Muhammad P. (2023) Study of Friction and Wear Behavior of Graphene-Reinforced AA7075 Nanocomposites by Machine Learning. Journal of Nanomaterials, 2023. pp. 1-15. ISSN 1687-4110

Book Section

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