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] Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …
brain and the computer. Brain signals contain valuable information about the mental state …
A new metaheuristic algorithm: Shrimp and Goby association search algorithm and its application for damage identification in large-scale and complex structures
This paper presents the application of a new Shrimp and Goby Association Search algorithm
(SGA) to solve large-scale global optimization problems. The performance of SGA is …
(SGA) to solve large-scale global optimization problems. The performance of SGA is …
Giant trevally optimizer (GTO): A novel metaheuristic algorithm for global optimization and challenging engineering problems
HT Sadeeq, AM Abdulazeez - Ieee Access, 2022 - ieeexplore.ieee.org
Metaheuristic algorithms are becoming powerful methods for solving continuous global
optimization and engineering problems due to their flexible implementation on the given …
optimization and engineering problems due to their flexible implementation on the given …
A new movement strategy of grey wolf optimizer for optimization problems and structural damage identification
In this paper, an improved Grey Wolf Optimizer (GWO) algorithm, termed LGWO, is
introduced. The enhanced version is interesting and complementary in terms of the direction …
introduced. The enhanced version is interesting and complementary in terms of the direction …
Termite life cycle optimizer
This paper introduces a novel bio-inspired meta-heuristic optimization algorithm, named
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …
Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm
Structural damage identification plays a crucial role in structural health monitoring. In this
study, a novelty method for structural damage identification is developed, which employs an …
study, a novelty method for structural damage identification is developed, which employs an …
Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning
We present an adaptive deep collocation method (DCM) based on physics-informed deep
learning for the melting heat transfer analysis of a non-Newtonian (Sisko) fluid over a …
learning for the melting heat transfer analysis of a non-Newtonian (Sisko) fluid over a …
Chaotic sand cat swarm optimization
In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …
A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural …
In this paper, a new method has been proposed to optimize the hyper parameters in Deep
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …
neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New …