Abstract: Breast cancer is the most common cancer type among females and is one of the leading causes of death worldwide. Being a heterogeneous disease, subtyping breast cancer plays a vital role in ...

Abstract: Evolutionary algorithms (EAs) exhibit diverse performance across different optimization problems, making the automated selection of the most suitable EA an important yet challenging task.

Abstract: An active research topic in the array signal processing field is the direction of arrival (DOA) estimation, where establishing an efficient estimation of radio waves received from an antenna ...

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Abstract: High-dimensional feature selection is a difficult issue in medical field, while the class imbalance problem existing in medical data can also seriously affect the classification performance ...

Abstract: Aiming at the current challenges in the field of feature selection, especially when dealing with high-dimensional data and redundant features, which face the problem of large feature ...

Abstract: Cloud detection is a crucial preliminary step for assimilating meteorological satellite observation and retrieving other atmospheric parameters. This article presents an explainable machine ...

Abstract: Hyperspectral images (HSI) contain abundant spectral information, but also exhibit significant redundancy. Therefore, selecting bands that possess high information content and low inter-band ...

Abstract: After the natural disasters, establishing a reliable and resilient emergency communication network is crucial, particularly when conventional infrastructure, such as base stations fail.