To analyze species count data when detection is imperfect, ecologists need models to estimate relative abundance in the presence of unknown sources of heterogeneity. Two candidate models are ...

Parameter estimation plays a crucial role in modelling and characterizing PEMFCs for their design and distribution system planning for control and protection. As the parameters are often hard to ...

A pair of mathematicians, Kevin Course and Prasanth Nair at the University of Toronto's Institute for Aerospace Studies, has developed a new state-estimation method to create efficient forecasts ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...

We leverage recent advancements in machine learning to develop an integrated method to solve globally and estimate models featuring agent heterogeneity, nonlinear constraints, and aggregate ...