4 citations · 6 across the 3 of their papers we have counts for
3 papers
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry
Nimish M. Awalgaonkar, Haining Zheng, Christopher S. Gurciullo
When it comes to addressing the safety/security related needs at different production/construction sites, accurate detection of the presence of workers, vehicles, equipment importa…
Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design
Piyush Pandita, Nimish Awalgaonkar, Ilias Bilionis +1
Estimating arbitrary quantities of interest (QoIs) that are non-linear operators of complex, expensive-to-evaluate, black-box functions is a challenging problem due to missing doma…
Learning Personalized Thermal Preferences via Bayesian Active Learning with Unimodality Constraints
Nimish Awalgaonkar, Ilias Bilionis, Xiaoqi Liu +2
Thermal preferences vary from person to person and may change over time. The main objective of this paper is to sequentially pose intelligent queries to occupants in order to optim…