Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …

Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Structural health diagnosis and prognosis is the goal of structural health monitoring.
Vibration-based structural health monitoring methodology has been extensively …

This study aims to improve post‐disaster preliminary damage assessment (PDA) using
artificial intelligence (AI) and unmanned aerial vehicle (UAV) imagery. In particular, a …

Structural health assessments are essential for infrastructure. By using an autonomous
panorama vision‐based inspection system, the limitations of the human cost and safety …

Seismic damage assessment of reinforced concrete (RC) structures is a vital issue for post-
earthquake evaluation. Conventional onsite inspection depends greatly on subjective …

The rapid evolution of multimedia and computer vision technologies requires adaptive visual
model deployment strategies to effectively handle diverse tasks and varying environments …

Many vision‐based indoor localization methods require tedious and comprehensive pre‐
map** of built environments. This research proposes a map**‐free approach to …

Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

Post‐earthquake reconnaissance survey of structural damage is an effective way of
documenting and understanding the impact of earthquakes on structures. This article aims at …