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 ...
Chest pain is among the most common reasons for presentation to the emergency department, yet identifying patients at the ...
With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run ...
High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.
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 ...
This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
Abstract: This study uses the HAM10000 dataset to present an experimental method of classifying skin diseases using a hybrid model that combines CNN and K-Nearest Neighbours (KNN). The suggested model ...
Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...
Sea snot’ blooms threaten marine life, tourism, and fisheries. Researchers used satellite images and AI to rapidly detect ...
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