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driven optimization » level optimization (Expand Search), spider optimization (Expand Search)
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driven optimization » level optimization (Expand Search), spider optimization (Expand Search)
data process » batch process (Expand Search), water process (Expand Search), due process (Expand Search)
binary ai » binary rat (Expand Search)
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1
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
Published 2022Get full text
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2
A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
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3
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
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