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R Bhushan Gopaluni

Machine learning for real-time green carbon dioxide tracking in refinery processes
Stable Soft Sensor Modeling for Industrial Systems
Real-time tracking of renewable carbon content with AI-aided approaches during co-processing of biofeedstocks
Interpretable Data-Driven Capacity Estimation of Lithium-ion Batteries
Interpretable Industrial Soft Sensor Design Based on Informer and Shap
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics
Interpretable Soft Sensors using Extremely Randomized Trees and Shap
Large-scale process models using deep learning
Neural network and sparse identification of nonlinear dynamics integrated algorithm for digital twin identification
Soft Sensor Change Point Detection and Root Causal Analysis
Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
Data-driven lithium-ion battery capacity estimation from voltage relaxation
Data-driven dynamic inferential sensors based on causality analysis
Deep neural network approximation of nonlinear model predictive control

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