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models optimization » level optimization (Expand Search), motor optimization (Expand Search), mongoose optimization (Expand Search)
while optimization » whale optimization (Expand Search), chimp optimization (Expand Search), spider optimization (Expand Search)
based models » based modeling (Expand Search)
binary a » binary rat (Expand Search)
models optimization » level optimization (Expand Search), motor optimization (Expand Search), mongoose optimization (Expand Search)
while optimization » whale optimization (Expand Search), chimp optimization (Expand Search), spider optimization (Expand Search)
based models » based modeling (Expand Search)
binary a » 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. The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. …”
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An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021“…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …”
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …”
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A new genetic algorithm approach for unit commitment
Published 1997“…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …”
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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
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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 method for data path synthesis using neural networks
Published 2017“…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …”
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …”