Ice detection technology developed by researchers at the University of Toronto could speed up the de-icing process for ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Nvidia’s new AI system, Alpamayo, could prove a major step to making autonomous cars a common sight on our roads.
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Learn how spectroscopy facilitates non-invasive, real-time bio-monitoring, enhancing decision-making in healthcare, ...
ABSTRACT: Structural damage identification is a critical task in civil engineering for ensuring the safety and serviceability of infrastructures. Traditional methods often rely on manually selected ...
The prediction of knee joint kinematics is a growing focus in biomechanics, rehabilitation, and sports science, driven by the need for cost-effective alternatives to motion capture systems. This ...
The deployment of various sensors including inductive loops, radars, GPS devices, cameras and floating car data (FCD) in intelligent transportation systems generates a stream of heterogeneous data, ...
Pipeline monitoring frequently encounters missing data, leading to incomplete evaluation and hindering a comprehensive assessment of the pipeline’s structural health. To address this issue, this study ...
Abstract: Internet of Things (IoT) generates vast amounts of sensor data across various scientific and engineering domains. This raw data is often flawed and unsuitable for analysis due to noise, ...