Search
Now showing items 1-2 of 2
AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior
(University of Missouri--Columbia, 2022)
detection methods formulate the problem as a pure classification problem, assuming a discretized input signal with known start and end locations for each event or segment. In practice, however, vehicle telemetry data used for detecting driver maneuvers...
Detection and quantification of delamination in concrete via time-lapse thermography with machine learning
(University of Missouri--Columbia, 2021)
This study developed a framework to automatically extract sub-surface defects from time-lapse thermography (TLT) images of reinforced concrete bridge components. Traditional approaches for processing TLT data typically ...