L. A. Kumaraswamidhas

Bearing degradation assessment and remaining useful life estimation based on Kullback-Leibler divergence and Gaussian processes regression

Prem Shankar Kumar, L. A. Kumaraswamidhas, S. K. Laha · Measurement · 2021 · 90 citations

Engineering, Data Science, Maintenance Engineering +14

Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method

Prem Shankar Kumar, L. A. Kumaraswamidhas, S. K. Laha · ISA Transactions · 2020 · 63 citations

Engineering, Mechanical Engineering, Condition Assessment +15

Selecting effective intrinsic mode functions of empirical mode decomposition and variational mode decomposition using dynamic time warping algorithm for rolling element bearing fault diagnosis

Prem Shankar Kumar, L. A. Kumaraswamidhas, Swarup Kumar Laha · Transactions of the Institute of Measurement and Control · 2018 · 48 citations

Computing, Data Science, Finite Element Analysis +16

An auto-encoder based LSTM model for prediction of ambient noise levels

Shashi Kant Tiwari, L. A. Kumaraswamidhas, Chitra Gautam et al. · Applied Acoustics · 2022 · 37 citations

Computing, Data Science, Air Pollution +13

A hybrid deep leaning model for prediction and parametric sensitivity analysis of noise annoyance

Shashi Kant Tiwari, L. A. Kumaraswamidhas, Mustafa Kamal et al. · Environmental Science and Pollution Research · 2023 · 36 citations

Computing, Data Science, Machine Learning +15