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learning optimization » learning application (Expand Search)
task optimization » based optimization (Expand Search), hawks optimization (Expand Search), swarm optimization (Expand Search)
e learning » _ learning (Expand Search), deep learning (Expand Search)
learning optimization » learning application (Expand Search)
task optimization » based optimization (Expand Search), hawks optimization (Expand Search), swarm optimization (Expand Search)
e learning » _ learning (Expand Search), deep learning (Expand Search)
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021Get full text
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Selecting relevant feature subsets is vital in machine learning, and multiclass feature selection is harder to perform since most classifications are binary. …”
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Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas
Published 2024“…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …”
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
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