Land use/cover maps are the basic inputs for most of the environmental simulation models; hence, the accuracy of the maps derived from the classification of the satellite images reduces the uncertainty in modeling. The aim of this study was to assess the accuracy of the maps produced by machine learning based on classification methods (Random Forest and Support Vector Machine) and to compare th...

In this paper, we focus on two basic issues: (a) the classification of sound by neural networks based on frequency and sound intensity parameters (b) evaluating the health of different human ears as compared to of those a healthy person. Sound classification by a specific feed forward neural network with two inputs as frequency and sound intensity and two hidden layers is proposed. This process...

Nowadays, Distributed Generation (DG), especially PV systems as a new source of power absorbed a high percentage of investment. Fault Detection and analysis in solar photovoltaic (PV) arrays are important issues to increase reliability, efficiency and safety in PV arrays. Due to PV’s non-linear characteristics, current-limiting nature, high fault impedances, low irradiance condi...