Nowadays, remotely sensed data has increased dramatically. Microwaves and optical images with different spatial and temporal resolutions are available and are used to monitor a variety of ...

libact is a Python package designed to make active learning easier for real-world users. The package not only implements several popular active learning strategies, but also features the ...

Abstract: In this work, we utilize machine learning to build a diabetes risk prediction model which is uniquely suited to a dataset of only females. The dataset focuses on important health ...

The “gut–skin axis” has been proposed to play an important role in the development and symptoms of atopic dermatitis. Therefore, we have constructed an interpretable machine learning framework to ...

Abstract: The research examines the Support Vector Machines (SVM) and K-Nearest Neighbor (KNN) machine learning algorithms with the goal of using machine learning to detect malware and mitigate ...

The manuscript presents an augmented Lagrangian—fast projected gradient method (ALFPGM) with an improved scheme of working set selection, pWSS, a decomposition based algorithm for training support ...

To sum up, the advantages and disadvantages of teaching quality evaluation at home and abroad analyze the advantages and disadvantages of the existing SVM multi-classification algorithm, and the ...