With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

Since there is a growing interest in driving the digital transformation of the construction
industry, the goal of this paper is to provide a full picture and understanding of the emerging …

This paper develops a novel multi-classifier information fusion approach that integrates the
probabilistic support vector machine (SVM) and the improved Dempster-Shafer (DS) …

A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs),
improved Dempster-Shafer (DS) evidence theory, and fuzzy Bayesian networks (BNs) …

This research proposes a novel deep learning approach named causal-temporal graphic
convolutional network (CT-GCN) which aims to provide accurate predictions on tunnel …

Healthcare tends to be one of the most complicated sectors, and hospitals exist at the core of
healthcare activities. One of the most significant elements in hospitals is service quality level …

Risk analysis for autonomous underwater vehicles (AUVs) is essential to assist decision
making for safer operations. This study aims to provide a systematic review of risk analysis …

This paper proposes a robust ground settlement prediction framework that can cope with
class imbalance and multi-source uncertainties within the practice of deep excavation. There …

Public-private partnerships (PPPs) are efficient methods for constructing infrastructures that
create many opportunities, specifically in financial crises. However, the cost/time overruns …

The deep foundation pit project (DFPP) in subway construction is characterized by a high
accident rate. Insufficient examination of the interactions among relevant safety risks often …