50 citations · 86 across the 6 of their papers we have counts for
6 papers
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…
PINNs for Medical Image Analysis: A Survey
Chayan Banerjee, Kien Nguyen, Olivier Salvado +2
The incorporation of physical information in machine learning frameworks is transforming medical image analysis (MIA). By integrating fundamental knowledge and governing physical l…
Static and Dynamic Synthesis of Bengali and Devanagari Signatures
Miguel A. Ferrer, Sukalpa Chanda, Moises Diaz +5
Developing an automatic signature verification system is challenging and demands a large number of training samples. This is why synthetic handwriting generation is an emerging top…
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…
Physics-Informed Computer Vision: A Review and Perspectives
Chayan Banerjee, Kien Nguyen, Clinton Fookes +1
The incorporation of physical information in machine learning frameworks is opening and transforming many application domains. Here the learning process is augmented through the in…