Karkulali Pugalenthi

According to our database, Karkulali Pugalenthi authored at least 5 papers between 2018 and 2022.

Collaborative distances:

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

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