Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Cracks are a common defect in civil infrastructures, and their occurrence is often closely
related to structural loading conditions, material properties, design and construction, and …

Crack inspection is an essential means to guarantee the healthy service state of
infrastructure. However, conventional methods suffer from bottlenecks such as wide blind …

While there have been a considerable number of studies on computer vision (CV)-based
crack detection on concrete/asphalt public facilities, such as sewers and tunnels, masonry …

This paper presents a deep learning-based approach for multiclass surface damage
detection and segmentation in various bridge components. The proposed BridgeNet …

An improved real-time tunnel lining crack detection model based on YOLOv5 is proposed.
This model maintains high precision and accuracy crack detection in low-light, low-contrast …

High-performance line-scan cameras are highly accurate and efficient for tunnel detection,
however, the exponential growth of image data creates new challenges for real-time image …

Aiming to automatically segment multi-class objects on the tunnel point cloud, a deep
learning network named dual attention-based point cloud network (DAPCNet) is developed …

White radish is a nutritious and delectable vegetable that is enjoyed globally. Conventional
techniques for monitoring radish growth are arduous and time-consuming, encouraging the …

Pumpkins are a nutritious and globally enjoyed fruit for their rich and earthy flavor. The
biophysical properties of pumpkins play an important role in determining their yield …