5 citations · 5 across the 4 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…
Decoding the spatial spread of cyanobacterial blooms in an epilimnion
Jacob Serpico, Kyunghan Choi, B. A. Zambrano-Luna +2
Cyanobacterial blooms (CBs) pose significant global challenges due to their harmful toxins and socio-economic impacts, with nutrient availability playing a key role in their growth…
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…
Deciphering culprits for cyanobacterial blooms and lake vulnerability in north-temperate lakes
Jacob Serpico, B. A. Zambrano-Luna, Russell Milne +3
Harmful cyanobacterial blooms (CBs) are increasingly prevalent worldwide, posing significant environmental and health concerns. We derive a stoichiometric model describing the popu…