403 citations · 936 across the 29 of their papers we have counts for
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Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
Pradeep Kumar Shukla, Tanujit Chakraborty, Mustafa Sari +2
This study provides an in-depth analysis of time series forecasting methods to predict the time-dependent deformation trend (also known as creep) of salt rock under varying confini…
Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes with Ordinal Outcomes
Xinru Wang, Tanujit Chakraborty, Bibhas Chakraborty
Dynamic treatment regimes (DTRs) are sequences of decision rules designed to tailor treatment based on patients' treatment history and evolving disease status. Ordinal outcomes fre…
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak
Madhab Barman, Madhurima Panja, Nachiketa Mishra +1
Tuberculosis (TB) remains a formidable global health challenge, driven by complex spatiotemporal transmission dynamics and influenced by factors such as population mobility and beh…