A student writes, "It is crucial for teachers, policymakers, and leaders to rethink how different students learn differently.

Modern imaging is contributing significantly to giving us a better understanding of how our brains work. In the long term, this will also help us to treat learning disorders in a more targeted way and ...

Department of Mechanical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China Fundamental Industry Training Center, Tsinghua University, Beijing 100084, People’s Republic of ...

Abstract: Radar-based human activity recognition (HAR) has great potential in many fields, such as surveillance, smart homes, and human-computer interaction. Complex deep neural networks have brought ...

Welcome to the Network Anomaly Detection project! This repository showcases a practical application of machine learning in cybersecurity by monitoring and detecting unusual activities in a network.

A strong and persistent melt event occurred in southern Greenland in mid-August 2025, preceded by extensive rain in the same area. Snow cover following the rain events covered the lower elevation bare ...

Bryan Kohberger saw a news article about a white Hyundai Elantra having been identified as a suspect vehicle in the Idaho student murders and immediately panicked, according to the forensic team that ...

Objective: This study aimed to examine the relationship between physical activity volume and sleep duration in older adults, using objective monitoring data to investigate their non-linear association ...

Abstract: Human activity recognition (HAR) is currently recognized as a key element of a more general framework designed to perform continuous monitoring of human behaviors in the area of ambient ...