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 ...
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 ...
Introduction: Frontotemporal dementia (FTD) encompasses heterogeneous clinical syndromes, and distinguishing its subtypes using imaging remains challenging. Methods: We developed a deep learning model ...
Pancreatic cancer remains one of the biggest challenges in the field of oncology. Numbers of cases are increasing, and the latest personalized therapies and immunotherapy are not yet yielding results.
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