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Human activity recognition (HAR) is a fundamental sensing and analysis technique that supports diverse applications, such as smart homes and healthcare. In device-free and non-intrusive HAR, WiFi ...

Accurate and timely triage in emergency departments (ED) requires decision support that is robust to incomplete and heterogeneous data. This study proposes a knowledge-guided triage framework that ...

Myocardial perfusion MRI is important for diagnosing coronary artery disease, but current clinical methods face challenges in balancing spatial resolution, temporal resolution, and slice coverage.

Abstract: Aiming at tourists' emotional analysis can better activity tourists' real feedback, most of the tourists' comment data are generated by tourists' initiative after the tour, and its ...

Car-following modeling is essential in the longitudinal control for connected and autonomous vehicles (CAVs). Considering the advantage of the generative adversarial network (GAN) in capturing ...

In this paper, we provide insights on the prediction of asset returns via novel machine learning methodologies. Machine learning clustering-enhanced classification and regression techniques to predict ...