In the swiftly evolving tech landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as two of the most ...

A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...

Implementing AI and machine learning solutions for detecting railroad trespassers offers substantial benefits, with ...

Abstract: This article studies active disturbance rejection control (ADRC) for uncertain switched systems under triggered learning. The novel triggered-learning ADRC framework optimizes the ADRC ...

Abstract: Limited labeled data could compromise the robustness of segmentation models trained on medical images. In medical imaging, manual segmentation is time-consuming and financially costly since ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.