Image-based severity analysis of Asphalt pavement bleeding using a metaheuristic-boosted fuzzy classifier
Pavement management systems play a vital role in maintaining transportation infrastructures
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
Intelligent condition prediction model for bridge infrastructure based on evaluating machine learning algorithms
Purpose Prediction models are essential tools for transportation agencies to forecast the
condition of bridge decks based on available data, and artificial intelligence is paramount for …
condition of bridge decks based on available data, and artificial intelligence is paramount for …
Robust feature knowledge distillation for enhanced performance of lightweight crack segmentation models
Vision-based crack detection faces deployment challenges due to the size of robust models
and edge device limitations. These can be addressed with lightweight models trained with …
and edge device limitations. These can be addressed with lightweight models trained with …
Deep learning-driven UAV vision for automated road crack detection and classification
Unmanned aerial vehicles are increasingly utilised for monitoring and inspecting critical
infrastructure such as power generation grids, oil and gas pipelines and roads. One key task …
infrastructure such as power generation grids, oil and gas pipelines and roads. One key task …
Enhancement of concrete crack detection using U-Net
Cracks in structural materials present a critical challenge to infrastructure safety and long-
term durability. Timely and precise crack detection is essential for proactive maintenance …
term durability. Timely and precise crack detection is essential for proactive maintenance …