Multi-hazard probabilistic safety assessments using Bayesian networks – A framework and demonstration for integrating technical and human risk

Validating a Bayesian network model to characterise faecal indicator organism loss from septic tank systems in rural catchments.

A label-free hybrid fault detection and diagnosis approach for HVAC systems using bayesian networks

The relationship between circulating tumor biomarkers and prognosis of appendix cancer: A systematic review and meta-analysis.

Evaluation of the post-marketing safety of eculizumab from 2007 to 2025: A real-world pharmacovigilance study and signal analysis based on the FAERS database.

Bayesian physics-informed neural networks with iterative ensemble Kalman inversion for RUL prediction and uncertainty quantification

Life-cycle performance prediction and interpretation for coastal and marine prestressed concrete beams using active learning-enhanced Bayesian neural networks

Process HAZOP integrated improved Z-numbers Bayesian belief network approach for quantitative risk analysis of cargo tank inspection in chemical tanker ships

Real-time knowledge- and data-driven reliability analysis for lithium-ion battery energy storage system by Bayesian fault propagation network

Surface roughness prediction of carbon steel gears using a novel method combining causal inference and physics-guided neural networks (CI-PGNNs)

From fault trees to Bayesian networks: A hybrid model for fishing vessel compliance risk assessment

The chicken and the egg: unraveling aspects of semantic change and how they relate to lexical acquisition.

Dynamic evolutionary Bayesian network model for offshore risk assessment

Event and fault tree-based Bayesian network for probabilistic safety assessment of earthquake-induced fire and explosion hazard

Root cause analysis and prediction of quality issues in the complex aviation products assembly process using object oriented Bayesian networks

A multi-tiered Bayesian network coastal compound flood analysis framework

Integrating laboratory and field data to evaluate the effects of experimental microplastic exposure on Acanthogobius flavimaus.

Do machine learning methods make better predictions than conventional ones in pharmacoepidemiology? A systematic review, meta-analysis, and network meta-analysis.

A Bayesian network based framework for ripple effect analysis in cross-tier shipbuilding supply chains

Dipeptidyl peptidase-4 inhibitors and diabetic retinopathy in type 2 diabetes: A network meta-analysis of randomized clinical trials.