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Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach
Given the growing prevalence of diabetes, there has been significant interest in determining how diabetes affects instrumental daily functions, like driving.
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification
Previous approaches have treated vehicle maneuver detection as a classification problem, although both time series segmentation and classification are required since input telemetry data is continuous.
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions
Among the several deep learning architectures, convolutional neural networks (CNNs) outperformed other machine learning models, especially for region proposal and object detection tasks.
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