STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Addressing climate change requires accelerating the development of sustainable alternatives to energy- and water-intensive technologies, particularly for rapidly growing infrastructure such as data ...
Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.
Abstract: The increasing adoption of wind turbines as a key component of renewable energy generation necessitates the development of efficient and reliable maintenance strategies to ensure their ...
Abstract: The growing adoption of deep learning in medical imaging has propelled object detection frameworks into clinical relevance, with YOLO (You Only Look Once) standing out for its real-time ...
Ashlyn Needham is an expert decor and design writer with 6 years of writing for brands and personal clients. She has been published in The Spruce, Southern Living, House Digest, Family Handyman, and ...
Apple today announced that iOS 27 will expand the Health app's Cycle Tracking feature with dedicated perimenopause and menopause support, including notifications, symptom logging, and educational ...
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