[HTML][HTML] The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management

H Kamyab, T Khademi, S Chelliapan… - Results in …, 2023 - Elsevier
The effective management of water resources is essential to environmental stewardship and
sustainable development. Traditional approaches to water resource management (WRM) …

Applications of machine learning in friction stir welding: Prediction of joint properties, real-time control and tool failure diagnosis

AH Elsheikh - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Abstract Machine learning (ML) methods have received immense attention as potential
models for modeling different manufacturing systems. This paper presents a comprehensive …

Innovative solar distillation system with prismatic absorber basin: Experimental analysis and LSTM machine learning modeling coupled with great wall construction …

A Elsheikh, M Zayed, A Aboghazala, FA Essa… - Process Safety and …, 2024 - Elsevier
Enhancing the vaporization surface area of the solar distillers through the implementation of
a novel configurations based solar distiller represents a cost-efficient strategy for maximizing …

Water distillation tower: Experimental investigation, economic assessment, and performance prediction using optimized machine-learning model

AH Elsheikh, EMS El-Said, M Abd Elaziz, M Fujii… - Journal of Cleaner …, 2023 - Elsevier
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 …

Performance enhancement of a tubular solar still by using stepped basins: an experimental approach

MS El-Sebaey, A Hegazy, FA Essa - Journal of Cleaner Production, 2024 - Elsevier
An experimental investigation was conducted on a novel design of a stepped basin tubular
solar still (SBTSS) and a tubular solar still (TSS) under different water depths/equivalent …

Predicting characteristics of dissimilar laser welded polymeric joints using a multi-layer perceptrons model coupled with archimedes optimizer

EB Moustafa, A Elsheikh - Polymers, 2023 - mdpi.com
This study investigates the application of a coupled multi-layer perceptrons (MLP) model
with Archimedes optimizer (AO) to predict characteristics of dissimilar lap joints made of …

A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills

AO Alsaiari, EB Moustafa, H Alhumade… - … in Engineering Software, 2023 - Elsevier
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 …

Productivity prediction of a spherical distiller using a machine learning model and triangulation topology aggregation optimizer

M Abd Elaziz, FA Essa, HA Khalil, MS El-Sebaey… - Desalination, 2024 - Elsevier
Solar stills offer a sustainable and environmentally friendly solution to water scarcity in
remote areas, but their limited productivity hinders their wider adoption. This study proposes …

[HTML][HTML] Bistable morphing composites for energy-harvesting applications

A Elsheikh - Polymers, 2022 - mdpi.com
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 …

Optimizing the thermal performance of solar energy devices using meta-heuristic algorithms: A critical review

A Afzal, A Buradi, R Jilte, S Shaik, AR Kaladgi… - … and Sustainable Energy …, 2023 - Elsevier
Since solar energy is intermittent, finding the best solutions for solar operated devices is a
challenge. Multiple techniques exist to reach the best solutions for optimal solar operated …