IEEE

Machine Learning-Based Design Scheme for Multifunctional Antenna Arrays With Reconfigurable Scattering Patterns

Abstract: A machine learning-based multifunctional antenna array design scheme (ML-MAADS), including a structure design module and a scattering beam steering module, is proposed for the ...
IEEE

Position-Aware Self-Supervised Learning for Wafer Map Defect Pattern Recognition

Abstract: Wafer map defect pattern recognition is an indispensable component of semiconductor manufacturing, providing crucial information for identifying the root causes of defects in semiconductor ...
C&EN

Machine-Learning Predictions of Rate Constants of Internal Conversion Using Electronic and Structural Descriptors

Department of Chemistry, Faculty of Science, University of Helsinki, P.O. Box 55 (A.I. Virtanens plats 1), Helsinki FIN-00014, Finland ...
Frontiers

Speech Pattern Disorders in Verbally Fluent Individuals with Autism Spectrum Disorder: A Machine Learning Analysis

The final, formatted version of the article will be published soon. Diagnosing Autism Spectrum Disorder (ASD) in verbally fluent individuals, based on speech patterns in examiner-patient dialogues ...