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learning optimization » learning application (Expand Search)
task optimization » based optimization (Expand Search), hawks optimization (Expand Search), swarm optimization (Expand Search)
binary data » binary rat (Expand Search)
learning optimization » learning application (Expand Search)
task optimization » based optimization (Expand Search), hawks optimization (Expand Search), swarm optimization (Expand Search)
binary data » binary rat (Expand Search)
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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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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …”
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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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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…We evaluated thirteen machine learning models at each stage, selecting the top-performing classifiers to optimize results. …”
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Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework
Published 2024Get full text
doctoralThesis