Abstract: Feature selection (FS) is crucial for dimensionality reduction. However, existing methods struggle with high-dimensional feature redundancy and complex associations. These limitations hinder ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Abstract: Information technology growth brings vast time-series data. Despite richness, challenges like redundancy emphasize the need for time-series data fusion research. Rough set theory, a valuable ...
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