Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
What if a construction project could rewrite its own schedule the moment a problem appears? A new peer-reviewed study from ...
Machine learning predicts who will decline faster in Alzheimer’s disease using routine clinic data
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: Fault detection of Internet of Things (IoT) systems is significant in industrial monitoring applications to ensure the reliability and efficiency. In this study, a complete framework which ...
Abstract: Transmission lines represent one of the highest priority components in power systems, in which faults can cause significant outages and instability. Conventional fault detection approaches, ...
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