Applying computer science techniques such as artificial intelligence (AI), deep learning (DL),
and computer vision (CV) on digital image data can help monitor and preserve cultural …

Monitoring road conditions is crucial for safe and efficient transportation infrastructure, but
develo** effective models for automatic road damage detection is challenging requiring …

Recent advancements in robotics and deep learning (DL) have made it possible to
implement robots in civil infrastructures' quality defect inspection. Robots can reduce human …

The last decade has witnessed a plethora of studies on the applications of computer vision
(CV) in structural health monitoring (SHM). While effort has been primarily focused on defect …

Surface cracks are alluded to as one of the early signs of potential damage to infrastructures.
In the same vein, their detection is an imperative task to preserve the structural health and …

Critical infrastructure is vital for connectivity and economic growth but faces systemic threats
from human-induced damage, climate change and natural disasters. Rapid, multi-scale …

Computer-aided deep learning has significantly advanced road crack segmentation.
However, supervised models face challenges due to limited annotated images. There is also …

Bridges are crucial components of national infrastructure, requiring rigorous maintenance
and inspections to ensure their safety and functionality. Inspections are incredibly …

The primary function of a mine hoist is the transportation of personnel and equipment,
serving as a crucial link between underground and surface systems. The proper functioning …

Cracks pose safety risks to infrastructure and cannot be overlooked. The prevailing
structures in existing crack segmentation networks predominantly consist of CNNs or …