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

This research paper presents a comprehensive review and comparative analysis aimed at
enhancing the performance of tubular solar stills for water purification. As the global demand …

Here we present a new compact design of a vertical water distillation tower based on solar
stills. The experimental setup consisted of a vertical tower with five water trays, supported by …

In this study, a coupled multi-layer perceptrons (MLP) model with an artificial rabbits
optimizer (ARO) is developed to predict the water productivity of different designs of solar …

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 …

In this study, an experimental work has been conducted to augment the performance of trays
solar still. The absorber surface area and rate of heat transfer between the absorber and the …

Feature selection is a required preprocess stage in most of the data mining tasks. This paper
presents an improved Harris hawks optimization (HHO) to find high-quality solutions for …

This paper aims to enhance the performance of conventional solar still (CSS) using a low
cost heat localization bilayered structure (HLBS). The HLBS consists of a bottom supporting …

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 …

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