Abstract Machine learning (ML) methods have received immense attention as potential
models for modeling different manufacturing systems. This paper presents a comprehensive …

Bistable morphing composites have shown promising applications in energy harvesting due
to their capabilities to change their shape and maintain two different states without any …

Tubular solar still is a simple light-weight desalination unit with a large condensing surface
compared with other types of solar stills. Regrettably, it suffers from the low water yield like …

This paper aims at developing an artificial intelligence model to forecast the water yield of a
modified solar distiller integrated with evacuated tubes and an external condenser. The …

This study introduces a long short-term memory (LSTM) neural network model to forecast the
freshwater yield of a stepped solar still and a conventional one. The stepped solar still was …

Abstract SARS-CoV-2 (COVID-19) is a new Coronavirus, with first reported human infections
in late 2019. COVID-19 has been officially declared as a universal pandemic by the World …

Quickly, accurately and reliably extract the parameters of solar photovoltaic (PV) model is
very critical to simulate, evaluate and control the PV systems. During the past few years …

Metal cutting using flood cooling has serious impacts on the environment and operator
health. Therefore, the minimum quantity lubricant (MQL) technique has been proposed as a …

Photovoltaic (PV) cells are widely used for their clean and sustainable advantages, forcing
researchers to accurately model their characteristics. The behavior of PV cells can be …

According to energy consumption data of the European Union, buildings account for 40% of
overall energy consumption in all sectors. The rise in building energy demand seriously …