Causality-Guided Explainable Deep-Learning Model for Managing Tunnel-Induced Ground Settlement Risks.

An Integrated Real-Time Approach to Mitigate Noncompliant Behavior in Mobile Crane Lifting Operations.

An integrated approach for automatic safety inspection in construction: Domain knowledge with multimodal large language model.

Causal discovery and reasoning for geotechnical risk analysis.

Explainable Artificial Intelligence: Counterfactual Explanations for Risk-Based Decision-Making in Construction.

Explainable Transfer Learning for Modeling and Assessing Risks in Tunnel Construction.

The Role of Smart Heuristics in Decision-Making Under Uncertainty: Migitating Rework and Its Consequences.

Risk and Uncertainty in the Cost Contingency of Transport Projects: Accommodating Bias or Heuristics, or Both?

Integrating Evidence into the Design of XAI and AI-based Decision Support Systems: A Means-End Framework for End-users in Construction.

Privacy-Preserving Brain-Computer Interfaces: A Systematic Review.

A status digital twin approach for physically monitoring over-and-under excavation in large tunnels.

Computer Vision and Deep Learning to Manage Safety in Construction: Matching Images of Unsafe Behavior and Semantic Rules.

Privacy-Preserving Brain-Computer Interfaces: A Systematic Review.

A contrastive learning framework for safety information extraction in construction.

Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction.

Detecting anomalies and de-noising monitoring data from sensors: A smart data approach.

The Duality and Paradoxical Tensions of Quality and Safety: Managing Error in Construction Projects.

Large-Scale Transport Infrastructure Project Performance: Generating a Narrative of Context and Meaning.

A hybrid data-driven model for geotechnical reliability analysis.

Curbing Poor-Quality in Large-Scale Transport Infrastructure Projects.

Rework, Failures, and Unsafe Behavior: Moving Toward an Error Management Mindset in Construction.

Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects.

Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction.

Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework.

Detection and location of unsafe behaviour in digital images: A visual grounding approach.

Physiological computing for occupational health and safety in construction: Review, challenges and implications for future research.

Pool-based unsupervised active learning for regression using iterative representativeness-diversity maximization (iRDM).

Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review.

Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction.

Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM).

Deep learning-based extraction of construction procedural constraints from construction regulations.

Real-time smart video surveillance to manage safety: A case study of a transport mega-project.

Automated text classification of near-misses from safety reports: An improved deep learning approach.

Computer vision for behaviour-based safety in construction: A review and future directions.

Recognizing people's identity in construction sites with computer vision: A spatial and temporal attention pooling network.

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network.

Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach.