Energy is regarded as one of the most important elements in agricultural sector. During the
last decades energy consumption in agriculture has increased, so finding the relationship …

The accuracy of soft computing technique was employed to predict the performance of micro-
and nano-sized particle erosion in a 3-D 90° elbow. The process, capable of simulating the …

The evaluation of geotechnical parameters of geo-materials are essential part of every
geotechnical project. But sometimes, it is not possible to determine the all required …

Nowadays the use of renewable energy including wind energy has risen dramatically.
Because of the increasing development of wind power production, improvement of the …

Multisensor data fusion can be considered as a strong nonlinear system. A precise
analytical solution is challenging to obtain, thus making it hard to dissect with routine …

In this study the environmental impact of consolidated rice farms (CF)–farms which have
been integrated to increase the mechanization index–and traditional farms (TF)–small farms …

When the turbine extracts power from the wind, a wake evolves downstream of the turbine.
The turbines operating in the wake are not only subjected to a decreased wind speed but …

The probabilistic distribution of wind speed is among the more significant wind
characteristics in examining wind energy potential and the performance of wind energy …

We propose for the first time a deep learning approach in assisting lens designers to find a
lens design starting point. Using machine learning, lens design databases can be expanded …

Laser welding of thin sheets has widespread application in various fields such as battery
manufacturing, automobiles, aviation, electronics circuits and medical sciences. Hence, it is …