Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...
Auric Portex operates under international financial regulations, maintaining partnerships only with brokers registered under ...
ATLANTA, GEORGIA / ACCESS Newswire / October 8, 2025 / Rezolut LLC, a national leader in advanced diagnostic imaging, is proud to announce the launch of SubtleHD, powered by Subtle Medical, an ...
Abstract: A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper. To improve adaptability and ...
Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...
Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...
This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
A key advantage of a newly developed deep learning model based on mammogram images is that it doesn’t require additional ...
For decades, textbooks painted a dramatic picture of early humans as tool-using hunters who rose quickly to the top of the ...
Deep learning-based contouring of multiple brain metastases eases clinical workload when planning stereotactic radiosurgery treatments ...
A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.
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