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 …
Thermal, daylight, and energy potential of building-integrated photovoltaic (BIPV) systems: A comprehensive review of effects and developments
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 …
overall energy consumption in all sectors. The rise in building energy demand seriously …
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 …
[HTML][HTML] Predicting kerf quality characteristics in laser cutting of basalt fibers reinforced polymer composites using neural network and chimp optimization
In this study, an optimized artificial intelligence model is developed to predict the kerf quality
characteristics in laser cutting of basalt fibers reinforced polymer composites. The model is …
characteristics in laser cutting of basalt fibers reinforced polymer composites. The model is …
[HTML][HTML] Kerf characteristics during CO2 laser cutting of polymeric materials: experimental investigation and machine learning-based prediction
This study uses advanced machine learning approaches to predict the kerf open deviation
(KOD) when a CO 2 laser is used to cut polymeric materials. Four polymeric materials …
(KOD) when a CO 2 laser is used to cut polymeric materials. Four polymeric materials …
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 …
A hybrid system coupling spiral type solar photovoltaic thermal collector and electrocatalytic hydrogen production cell: Experimental investigation and numerical …
The sustainable cogeneration of hydrogen and electricity is one of the promising strategies
to boost the world's energy demand. This work introduces a detailed numerical modeling …
to boost the world's energy demand. This work introduces a detailed numerical modeling …
[HTML][HTML] Performance enhancement and economic analysis of pyramid solar still with corrugated absorber plate and conventional solar still: A case study
Solar energy is utilized to convert brackish or saline water into drinking water in solar stills.
Recent years have seen a lot of attention paid to develo** new designs for solar stills to …
Recent years have seen a lot of attention paid to develo** new designs for solar stills to …
Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector …
At present, artificial intelligence methods have been effectively utilized for predicting the
complex performance of storage-based solar thermal technologies for cooling/heating …
complex performance of storage-based solar thermal technologies for cooling/heating …