Karkulali Pugalenthi

According to our database, Karkulali Pugalenthi authored at least 10 papers between 2016 and 2026.

Collaborative distances:

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

2026

PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes.

Karkulali Pugalenthi, Jian Cheng Wong, Qizheng Yang, Pao-Hsiung Chiu, My Ha Dao, Nagarajan Raghavan, Chinchun Ooi

CoRR, February, 2026

2025

STRIDE: Spectral-Temporal Representation and Instance-Weighted Domain Expansion.

Ngoc Chi Nam Doan, Van Tung Tran, Karkulali Pugalenthi

Proceedings of the IEEE International Conference on Data Mining, 2025

2022

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning.

Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

Sensors, 2022

2021

Predicting Lumen Degradation of Light Emitting Diodes Using Hybrid Particle Filter Trained Neural Networks.

Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

IEEE Access, 2021

Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries.

Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

IEEE Access, 2021

2020

Piecewise Model-Based Online Prognosis of Lithium-Ion Batteries Using Particle Filters.

Karkulali Pugalenthi, Hyunseok Park, Nagarajan Raghavan

IEEE Access, 2020

2018

A holistic comparison of the different resampling algorithms for particle filter based prognosis using lithium ion batteries as a case study.

Karkulali Pugalenthi, Nagarajan Raghavan

Microelectron. Reliab., 2018

2016

Testbed for real-time monitoring of leak in low pressure gas pipeline.

Himanshu Mishra, Karkulali Pugalenthi, Abhisek Ukil, Justin Dauwels

Proceedings of the IECON 2016, 2016

Leak detection in gas distribution pipelines using acoustic impact monitoring.

Karkulali Pugalenthi, Himanshu Mishra, Abhisek Ukil, Justin Dauwels

Proceedings of the IECON 2016, 2016

Pressure and flow variation in gas distribution pipeline for leak detection.

R. Sugunakar Reddy, Payal Gupta, Karkulali Pugalenthi, Himanshu Mishra, Abhisek Ukil, Justin Dauwels

Proceedings of the IEEE International Conference on Industrial Technology, 2016