5 citations · 5 across the 5 of their papers we have counts for
5 papers
Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling
Siyu Chen, Esha Saha, Hao Wang
Accurate large-scale wildfire spread modelling requires models that capture both the environmental conditions associated with fire occurrence and the local dynamics of fire propaga…
Learning PDE Time-Stepping with Neural Cellular Automata
Esha Saha, Hao Wang
Classical numerical solvers for partial differential equations (PDEs) are computationally expensive to solve repeatedly across varying initial conditions, motivating the need for l…
Spatio-Temporal Wildfire Spread Prediction in Canada using a Video Swin-Hybrid-U-Net and Satellite Imagery
Maulik Srivastava, Esha Saha, Hao Wang
Background: Wildfires in Canada present increasing threats to ecosystems, communities, and infrastructure, demanding accurate forecasting tools to aid mitigation efforts. Existing…
Learning Coupled System Dynamics under Incomplete Physical Constraints and Missing Data
Esha Saha, Hao Wang
Advances in data acquisition and computational methods have accelerated the use of differential equation based modelling for complex systems. Such systems are often described by co…
Dispersion based Recurrent Neural Network Model for Methane Monitoring in Albertan Tailings Ponds
Esha Saha, Oscar Wang, Amit K. Chakraborty +3
Bitumen extraction for the production of synthetic crude oil in Canada's Athabasca Oil Sands industry has recently come under spotlight for being a significant source of greenhouse…