50 citations · 86 across the 6 of their papers we have counts for
3 papers · 1 filter
Physics-Informed Operator Learning for Hemodynamic Modeling
Ryan Chappell, Chayan Banerjee, Kien Nguyen +1
Accurate modeling of personalized cardiovascular dynamics is crucial for non-invasive monitoring and therapy planning. State-of-the-art physics-informed neural network (PINN) appro…
Mining--Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling
Chayan Banerjee, Kien Nguyen, Clinton Fookes
Optimizing the mining process -- particularly truck dispatch scheduling -- is a key driver of efficiency in open-pit operations. However, the dynamic and stochastic nature of these…
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
Chayan Banerjee, Kien Nguyen, Clinton Fookes +1
The inclusion of physical information in machine learning frameworks has revolutionized many application areas. This involves enhancing the learning process by incorporating physic…