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
developing 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 …

Aiming at the challenges of reliance on specific hardware, vulnerability to external signal
interference, labor-intensive construction of extensive indoor datasets and image blurring …

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 …

Defects in buildings accelerate the deterioration of building conditions and threaten the
structural safety of buildings. Building condition assessments are essential to identify and …

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 …

Critical infrastructure, such as transport networks and bridges, are systematically targeted
during wars and suffer damage during extensive natural disasters. The former is because …