Search Results - (( intelligence based e algorithm ) OR ( intelligence based generic algorithm ))
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…Studies on Diffusion Bonding reveal that ANN and Generic Algorithms can predict outcomes with an accuracy range of 85 – 99%, while Response Surface Methodology such as Optimization Strategy can achieve up to 95 percent confidence levels in improving bonding strength and optimizing process parameters. …”
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…Studies on Diffusion Bonding reveal that ANN and Generic Algorithms can predict outcomes with an accuracy range of 85 – 99%, while Response Surface Methodology such as Optimization Strategy can achieve up to 95 percent confidence levels in improving bonding strength and optimizing process parameters. …”
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Adapting robot kinematics for human-arm motion recognition
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference Paper -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…This work presents an enhanced intelligent intrusion detection model (E2IDS) to detect state of the art known cyberattacks. …”
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Swarm intelligence algorithms’ solutions to the travelling salesman’s problem
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Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…These two algorithms are compared to their original artificial intelligence algorithms, i.e. particle swarm optimization algorithm and genetic algorithm. …”
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. …”
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Speech emotion verification system (SEVS) based on MFCC for real time applications
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