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📚 CRoP: A Context-wise Static Personalization Method for Robust and Scalable Human-Sensing AI Models in Healthcare and Real-World Scenarios


Nachrichtenbereich: 🔧 AI Nachrichten
🔗 Quelle: marktechpost.com

Human-sensing applications such as activity recognition, fall detection, and health monitoring have been revolutionized by advancements in artificial intelligence (AI) and machine learning technologies. These applications can significantly impact health management by monitoring human behavior and providing critical data for health assessments. However, due to the variability in individual behaviors, environmental factors, and the physical […]

The post CRoP: A Context-wise Static Personalization Method for Robust and Scalable Human-Sensing AI Models in Healthcare and Real-World Scenarios appeared first on MarkTechPost.

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