IEEE

Decoupled Online Q-Learning Design for MIMO Active Magnetic Compensation Systems

Abstract: The inherent cross-coupling phenomenon in three-input three-output active magnetic compensation (AMC) systems employing multiaxial coil configurations hinders precise system characterization ...
IEEE

Analysis of the Impact of Online Project-Based Flipped Learning Classroom Applied to Embedded Systems Education

Abstract: Contributions: This study analyzes the impact of the online project-based flipped learning classroom (OPBFLC) approach in embedded systems education courses and provides guidelines for ...
C&EN

Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media

Department of Environmental Sciences, University of California, Riverside, California 92521, United States Department of Environmental and Global Health, College of Public Health and Health ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...
ascopubs.org

Development of Machine Learning Systems to Predict Cancer-Related Symptoms With Validation Across a Health Care System

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...
C&EN

Machine Learning Tackles the Challenge of Powder X-ray Diffraction Indexing for All Crystal Systems

Institute of Functional Materials, College of Materials Science and Engineering, Xian University of Architecture and Technology, Xi’an, Shaanxi 710055, China ...