Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Using EEG Signals and AI to Predict Neurodegenerative Diseases

Abstract: Diseases like Alzheimer’s and Parkinson’s pose significant challenges because of their complex and progressive characteristics. Addressing these conditions requires advanced diagnostic ...
IEEE

Multilevel Spatial–Temporal Joint Large Language Model for Traffic Prediction in Symbiotic IoT

Abstract: The Symbiotic Internet of Things (IoT) represents a collaborative framework wherein edge devices and AI models coordinate resource utilization and interact via 6G connectivity to optimize ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
Tech Xplore

Inside Houston's real-time strategy for managing World Cup traffic

Houston has already felt the first wave of World Cup traffic. Now, with a high-stakes July 4 match approaching, officials are ...