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 …
models for modeling different manufacturing systems. This paper presents a comprehensive …
[HTML][HTML] Random vector functional link network: recent developments, applications, and future directions
Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
Water distillation tower: Experimental investigation, economic assessment, and performance prediction using optimized machine-learning model
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 …
stills. The experimental setup consisted of a vertical tower with five water trays, supported by …
A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills
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 …
optimizer (ARO) is developed to predict the water productivity of different designs of solar …
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 …
with Archimedes optimizer (AO) to predict characteristics of dissimilar lap joints made of …
Machine learning-based prediction and augmentation of dish solar distiller performance using an innovative convex stepped absorber and phase change material …
As well known, the solar distiller is one of the introduced solutions to the freshwater shortage
problem, but it is demerited by the low freshwater output. In this paper, a design modification …
problem, but it is demerited by the low freshwater output. In this paper, a design modification …
Performance prediction of a reverse osmosis unit using an optimized Long Short-term Memory model by hummingbird optimizer
The accessibility to freshwater suitable for human use is a modern problem in many
countries of the world. One of the well-known methods to overcome this problem is the …
countries of the world. One of the well-known methods to overcome this problem is the …
Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization
Today artificial intelligence is a major utility technology that can help industry and research
in many fields, including solar thermal energy for water desalination purposes. Hence, the …
in many fields, including solar thermal energy for water desalination purposes. Hence, the …
Utilization of ensemble random vector functional link network for freshwater prediction of active solar stills with nanoparticles
This study introduces an Ensemble Random Vector Functional Link Networks (EnsRVFL) to
predict the yield of active solar stills with nanoparticles. The active solar still system …
predict the yield of active solar stills with nanoparticles. The active solar still system …
Optimization of ultrasonic-excited double-pipe heat exchanger with machine learning and PSO
M Esfandyari, AA Delouei, A Jalai - International Communications in Heat …, 2023 - Elsevier
Two intelligent optimization methods, artificial neural networks (ANNs) and adaptive neuro-
fuzzy inference system (ANFIS), with particle swarm optimization (PSO), were employed in …
fuzzy inference system (ANFIS), with particle swarm optimization (PSO), were employed in …