Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

This paper engages in a comprehensive investigation concerning the application of
Explainable Artificial Intelligence (xAI) within the context of deep learning and Artificial …

Artificial intelligence (AI), such as machine learning (ML) models, is profoundly impacting an
organization's ability to assess safety risks during the construction of tunnels. Yet, ML …

The construction industry is a vital sector of the global economy, but it faces many
productivity challenges in various processes, such as design, planning, procurement …

Accurate assessments of over-and-under-excavation volumes during tunnel construction are
critical for stability and structural safety. Over-and-under-excavation assessment is typically …

The paper proposes an unsupervised deep convolutional dynamic joint distribution domain
adaptive network model for the problem of bearing fault diagnosis under variable conditions …

Nowadays, aerial vehicle swarm (AVS) formations have been widely applied to military
actions. Meanwhile, assessing their efficacy has also received increasing attention due to …

While Artificial intelligence (AI) has been successfully applied in assessing geotechnical
risk, such methods heavily rely on data quality to achieve satisfactory performance, and their …

Accurate predictions of building energy consumption are essential for reducing the energy
performance gap. While data-driven energy quantification methods based on machine …

Psychological heuristics are formal models of decision making relying on core psychological
capacities, such as perception, attention, memory, language, emotion regulation, and social …