Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …

This article provides a comprehensive review of deep learning-based structural health
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …

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 …

Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …

Wood is a renewable resource with excellent qualities and the potential to become a key
element of a future bioeconomy. The increasing environmental awareness and drive to …

Structural health monitoring (SHM) systems in civil engineering structures have been a
growing focus of research and practice. Over the last few decades, optical fibre sensor (OFS) …

Regular building inspection and maintenance has been deemed as a necessary preventive
measure to maintain the functionality, integrity and aesthetics of buildings. 2D computer …

Zero‐shot learning, applied with vision‐language pretrained (VLP) models, is expected to
be an alternative to existing deep learning models for defect detection, under insufficient …

The conventional machine learning (ML) algorithms are continuously advancing and
evolving at a fast-paced by introducing the novel learning algorithms. ML models are …