Bioelectrochemical systems (BES) are promising technologies to convert organic
compounds in wastewater to electrical energy through a series of complex physical …

Alkali-activation is one of the most promising routes for utilisation of versatile aluminosilicate
resources. However, the variations of chemical compositions in these resources have …

High-performance concrete (HPC) plays an important role in improving the sustainability
and reliability of buildings and infrastructures. Machine learning predictive models have …

ABSTRACT​​ This article discusses the integration of two models, namely, the Physical
Forest Fire Spread (PhFFS) and the High Definition Wind Model (HDWM), into a …

Fuel moisture content (FMC) plays a significant role in wildfire behavior and rate of spread
(ROS). In addition, FMC is a highly dynamic factor and very vulnerable to climate variations …

The PhyFire simplified physical wildfire spread model developed by the research group on
Numerical Simulation and Scientific Computation at the University of Salamanca has been …

A new global sensitivity analysis has been conducted of fuel-type-dependent input variables
of the simplified physical fire spread model (PhyFire) to understand how the use of spatial …

A historical review is conducted of PhyFire, a simplified physical forest fire spread model
developed by the research group on Numerical Simulation and Scientific Computation …

This paper reports the estimation of the unknown boundary heat flux from a fin using the
Bayesian inference method. The setup consists of a rectangular mild steel fin of dimensions …

Production planning is one of the crucial issues in manufacturing environments and is
responsible for determining the optimal production and inventory levels. There are many …