Due to the increase in the changes in global climate in recent years and the depletion of
fossil fuels, the interest in renewable energy sources in many developed countries is …

Background and objective We are living in the pandemic age, and many educational
institutions have shifted to a distance education system to ensure learning continuity while at …

The multilayer perceptron (MLP), a type of feed-forward neural network, is widely used in
various artificial intelligence problems in the literature. Backpropagation is the most common …

Dried grapes (or Raisins) are among the most frequently grown and consumed cereal crops
worldwide. They are also an important source of nutrition and nourishment in a variety of …

Diabetes is one of the quickly spreading chronic diseases causing health complications,
such as diabetes retinopathy, kidney failure, and cardiovascular disease. Recently, machine …

Purpose This paper aims to clarify the efficient process of the machine learning algorithms
implemented in the ready-mix concrete (RMC) onsite. It proposes innovative machine …

The defects of RAC and confinement effect have a significant influence on the performance
of RACFST. But traditional model based on linear regression are insufficient to evaluate this …

Artificial intelligence technology has super high-dimensional nonlinear computing
capabilities, intelligent comprehensive analysis and judgment functions, and self-learning …

Specific language impairment (SLI) is one of the most common diseases in children, and
early diagnosis can help to obtain better timely therapy economically. It is difficult and time …

The bond stress-slip relationship between a deformed steel bar and concrete under various
loading rates is required to appropriately simulate the ultimate conditions of concrete …