IEEE

Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment

Abstract: Traditional assessments of children’s health and behavioral issues primarily rely on subjective evaluation by adult raters, which imposes major costs in time and human resource to the school ...
IEEE

Advancing Human Activity Recognition Using Ultra-Wideband Channel Impulse Response Snapshots

Abstract: Human Activity Recognition (HAR) has a significant contribution to a wide range of applications, including security surveillance and healthcare. It provides a non-intrusive, cost-effective ...
C&EN

Identifying Structure–Activity Relationships for Cyanine-Derived Antibiotics Using Machine Learning and Commercial Large Language Models

Smalley-Curl Institute, Rice University, 6100 Main Street, Houston, Texas 77005, United States Department of Chemistry, Rice University, 6100 Main Street, Houston, Texas 77005, United States ...