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Bhushan Gopaluni

A novel automated soft sensor design tool for industrial applications based on machine learning
Enhanced 3D X-Ray Tomography: Deep Learning-Based Advanced Algorithms for Fiber Instance Segmentation
Adaptive process monitoring for multimode industrial processes through machine learning
Green CO2 Emission Modelling with Artificial Intelligence During Co-Processing Biogenic Feedstocks
Data-driven battery capacity estimation using support vector regression and model bagging under fast-charging conditions
A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries
Deep learning‐based hybrid reconstruction algorithm for fibre instance segmentation from 3D x‐ray tomographic images
Long short-term memory network with transfer learning for lithium-ion battery capacity fade and cycle life prediction
Real-time process operation evaluation and model reliability assessment for chemi-thermomechanical pulping process
Online capacity estimation of lithium-ion batteries by partial incremental capacity curve
Causal discovery based on observational data and process knowledge in industrial processes
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics
Tracking the green coke production when co-processing lipids at a commercial fluid catalytic cracker (FCC): combining isotope 14 C and causal discovery analysis

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