Abstract: Landslides are one of the most destructive natural disasters in the world, threatening human life and safety. With excellent performance as a foundation model for image segmentation, the ...
A deep learning–based system for detecting employee drowsiness during virtual meetings using facial cues like yawning and eye closure. Built with ResNet50V2 and fine-tuned on diverse, augmented ...
The NCAA Division I Administrative Committee approved on Tuesday two significant changes to the transfer portal, shrinking the amount of time granted to athletes to declare their intention to pursue a ...
The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Recently, machine learning (ML) has gained popularity in the early stages of drug ...
Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...
Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
Introduction: Motor imagery functional near-infrared spectroscopy (MI-fNIRS) offers precise monitoring of neural activity in stroke rehabilitation, yet accurate cross-subject classification remains ...
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