Modeling and Predicting Stock Returns using the ARFIMA-FIGARCH. - Palaniappan Bagavathi Sivakumar; V. P. Mohandas (NaBIC, 2009)

Performance Comparison of Attribute Set Reduction Algorithms in Stock Price Prediction - A Case Study on Indian Stock Data. - Palaniappan Bagavathi Sivakumar; V. P. Mohandas (SEMCCO, 2010)

A Novel IoT-Based Energy Management System for Large Scale Data Centers. - Sharad S.; Bagavathi Sivakumar P.; V. Anantha Narayanan (e-Energy, 2015)

The smart bus for a smart city - A real-time implementation. - Sharad S.; Palaniappan Bagavathi Sivakumar; V. Anantha Narayanan (ANTS, 2016)

Bayesian nonparametric Multiple Instance Regression. - Saravanan Subramanian; Santu Rana; Sunil Gupta 001; Palaniappan Bagavathi Sivakumar; C. Shunmuga Velayutham; Svetha Venkatesh (ICPR, 2016)

Performance comparison of feature reduction techniques in-terms of compactness, computation time and accuracy. - Praveen Vijai; Bagavathi Sivakumar P. (SSCI, 2018)

An incremental learning temporal influence model for identifying topical influencers on Twitter dataset. - G. R. Ramya; Bagavathi Sivakumar P. (Soc. Netw. Anal. Min., 2021)

Fog computing enabled air quality monitoring and prediction leveraging deep learning in IoT. - P. Divya Bharathi; V. Anantha Narayanan; Bagavathi Sivakumar P. (J. Intell. Fuzzy Syst., 2022)

Design and Enhancement of a Fog-Enabled Air Quality Monitoring and Prediction System: An Optimized Lightweight Deep Learning Model for a Smart Fog Environmental Gateway. - P. Divya Bharathi; V. Anantha Narayanan; Palaniappan Bagavathi Sivakumar (Sensors, 2024)

Discovering Social Media Influencers Using a Deep Regression Analysis. - G. R. Ramya; Palaniappan Bagavathi Sivakumar (SN Comput. Sci., 2025)