Santa Clara University

An engineering professor uses machine learning to improve human-centered robotics

What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF grants to design responsive robots to assist people with paralysis and ...
C&EN

Quantifying Aviation-Related Contributions to Ambient Ultrafine Particle Number Concentrations Using Interpretable Machine Learning

Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States ...
IEEE

WaveHAR: Learning Wavelet Representation for Wearable Human Activity Recognition

Abstract: In rapidly evolving the Internet-of-Things (IoT) industry, human activity recognition (HAR) technology based on wearable sensors always plays a pivotal role. Deep learning models, especially ...
IEEE

CIT-HAR: A High Accuracy and Lightweight Human Activity Recognition System Using CSI Heatmaps and a Hybrid Transformer Network

Abstract: Device-free human activity recognition (HAR) based on channel state information (CSI) has gained significant attention in the Internet of Things (IoT) domain. However, raw CSI data often ...
C&EN

Prediction of Activity and Selectivity Profiles of Sigma Receptor Ligands Using Machine Learning Approaches

Department of Chemical, Biological, Pharmaceutical and Environmental Sciences (CHIBIOFARAM), University of Messina, Viale Ferdinando D’Alcontres 13, I-98166 Messina, Italy ...