COMBINING THE YOLOV4 DEEP LEARNING MODEL WITH UAV IMAGERY PROCESSING TECHNOLOGY IN THE EXTRACTION AND QUANTIZATION OF CRACKS IN BRIDGES

Combining the YOLOv4 Deep Learning Model with UAV Imagery Processing Technology in the Extraction and Quantization of Cracks in Bridges

Bridges are often at risk due to the effects of natural disasters, such as earthquakes and typhoons.Bridge inspection assessments normally focus on cracks.However, numerous concrete structures with cracked surfaces are highly elevated or over water, and is not easily accessible to a bridge inspector.Furthermore, poor lighting under bridges and a co

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Mesoscopic Urban-Traffic Simulation Based on Mobility Behavior to Calculate NOx Emissions Caused by Private Motorized Transport

Motorized transport is one of the main contributors to anthropogenic CO 2 emissions, which cause global warming.Other emissions, like nitrogen oxides or carbon monoxide, are detrimental to human health.A prominent way to understand and thus be able to minimize emissions is by using traffic simulations to evaluate different scenarios.In that way, on

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Are dogs with congenital hearing and/or vision impairments so different from sensory normal dogs? A survey of demographics, morphology, health, behaviour, communication, and activities.

The births of domestic dogs with pigment deletion and associated congenital hearing and/or vision impairments are increasing, as a result of mutations of certain genes expressing popular coat colour patterns (Merle, piebald, Irish spotting).The future of these dogs is often pessimistic (early euthanasia or placement in rescues/fosters, lack of inte

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