An accurate model of proton exchange membrane fuel cell (PEMFC) is essential for its
characterization, performance analysis, and design of optimal control strategies. However …

Discharge of hazardous substances into the marine environment poses a substantial risk to
both public health and the ecosystem. In such incidents, it is imperative to accurately …

We present a methodology to identify multiple pollutant sources in the atmosphere that
combines a data-driven dispersion model with Bayesian inference and uncertainty …

Linear systems occur throughout engineering and the sciences, most notably as differential
equations. In many cases the forcing function for the system is unknown, and interest lies in …

We propose a methodology to estimate unknown atmospheric releases, including the
number of emissions, addressing overfitting, and using an economical number of unknowns …

Nowadays, several applications in engineering and science are considering fractional
partial differential equations. However, this type of equation presents new challenges to …

This work proposes the use of a Monte Carlo Markov Chain technique to estimate the
location and strength of multiple pollutant emissions in the atmosphere. The corresponding …

Source identification methodologies use inverse problems techniques combined with a
dispersion model and observational data to estimate relevant source parameters. This work …

In this work, we propose a stochastic wind field based on the Bayesian dynamic linear
model to account for the wind flow field in the transient advection-diffusion partial differential …

Dry deposition removal process is a major environmental concern, especially because the
material deposited over a surface may react with underling substances producing potential …