Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
The model takes normal weather models and makes them higher resolution, before delivering them to OpenSnow subscribers.
Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...
Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...
Yarn-based hobby enthusiasts have taken over TikTok with their nontraditional homemade items. One crafty cat mom decided her little ones needed sweaters—and honestly, they are just too cute! Kelso, ...
AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
1 Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 Department of Critical Care Medicine, First Affiliated Hospital of ...
Abstract: Fall detection is crucial for various applications such as elderly care, healthcare, smart homes, workplace safety, and wearables and edge devices. Deep learning, a subset of machine ...
Falls pose a significant public health concern, leading to numerous injuries and fatalities annually. Most existing fall detection methods often rely on supervised learning, necessitating extensive ...
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