This paper delves into the pivotal role of prompt engineering in unleashing the capabilities
of Large Language Models (LLMs). Prompt engineering is the process of structuring input …

As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

Abstract Intelligent Transportation Systems (ITS) face the formidable challenge of large-
scale missing data, particularly in the imputation of traffic data. Existing studies have mainly …

This paper explores the application of visual question answering (VQA) in bridge inspection
using recent advancements in multimodal artificial intelligence (AI) systems. VQA involves …

Digital twin requires establishing a self‐updated model to simulate the structural damage
perceived onsite. Despite the great success in damage identification and quantification, the …

Most of vision‐based methods for structural damage detection rely on supervised learning,
requiring a substantial number of labeled images for model training, which is labor‐intensive …

Efficient and accurate building damage assessment is crucial for effective emergency
response and resource allocation following natural hazards. However, traditional methods …

ChatGPT is a versatile conversational Artificial Intelligence model that responds to user input
prompts, with applications in academia and various sectors. However, crafting effective …

The inherent knowledge limitations possessed by human experts often yield suboptimal
accuracy in linguistic decisions within traditional Decision Making Experimentation and …

Abstract Three‐dimensional (3D) object detection, that is, localizing and classifying all
critical objects in a 3D space, is essential for downstream construction scene analysis tasks …