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Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm
Published 2014“…This study focuses on using GSA method, a new computational intelligence algorithm. Moreover, a rule-based classifier is employed to distinguish a peak point based on the selected features. …”
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Joint torque estimation model of surface electromyography(sEMG) based on swarm intelligence algorithm for robotic assistive device
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…The results show that the neural network optimized with genetic algorithm and trained with an optimally and intelligently selected input vector containing historical load and meteorological variables produced the best prediction accuracy. …”
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Artificial neural networks based optimization techniques: A review
Published 2023“…In the last few years, intensive research has been done to enhance artificial intelligence (AI) using optimization techniques. In this paper, we present an extensive review of artificial neural networks (ANNs) based optimization algorithm techniques with some of the famous optimization techniques, e.g., genetic algorithm (GA), particle swarm optimization (PSO), artificial bee colony (ABC), and backtracking search algorithm (BSA) and some modern developed techniques, e.g., the lightning search algorithm (LSA) and whale optimization algorithm (WOA), and many more. …”
Review -
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A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
Published 2023“…An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. …”
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A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
Published 2023“…An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. …”
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A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
Published 2023“…An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. …”
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A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
Published 2023“…An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. …”
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A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
Published 2023“…An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. …”
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A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
Published 2023“…An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. …”
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PLC-based fuzzy logic controller for induction-motor drive with constant V/Hz ratio
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Digital Transformation Using Industry 4.0 and Artificial Intelligence
Published 2025“…Explainable artificial intelligence (XAI) conducts studies and creates tools, techniques, and algorithm designs that produce information and judgments made by AI-based systems that are comprehensible to humans. …”
Book chapter -
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Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
Published 2022“…To this end, several models are proposed in the literature that are based on a selected artificial intelligence (AI) algorithm which is once trained and then deployed. …”
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Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
Published 2022“…To this end, several models are proposed in the literature that are based on a selected artificial intelligence (AI) algorithm which is once trained and then deployed. …”
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