661 results on '"Yang, Zaili"'
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2. A novel method for ship carbon emissions prediction under the influence of emergency events
3. Shore power for reduction of shipping emission in port: A bibliometric analysis
4. Prediction of the severity of marine accidents using improved machine learning
5. Evolutionary model and risk analysis of ship collision accidents based on complex networks and DEMATEL
6. Dynamic analysis of emergency evacuation in a rolling passenger ship using a two-layer social force model
7. Maritime traffic partitioning: An adaptive semi-supervised spectral regularization approach for leveraging multi-graph evolutionary traffic interactions
8. Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety
9. Dynamic evolution of maritime accidents: Comparative analysis through data-driven Bayesian Networks
10. COLREG and MASS: Analytical review to identify research trends and gaps in the Development of Autonomous Collision Avoidance
11. Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories
12. Seafarer competency analysis: Data-driven model in restricted waters using Bayesian networks
13. An investigation of the effect of workload on ship engine room operators using fNIRS
14. Bulk carrier accident severity analysis in Australian waters using a data-driven Bayesian network
15. Risk assessment of maritime autonomous surface ships collisions using an FTA-FBN model
16. COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making
17. Experimental study on human evacuation onboard passenger ships considering heeling angle and opposite directions
18. A novel scheme for shore power data to enhance containership-at-berth emission estimation
19. Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling
20. A novel data-driven method of ship collision risk evolution evaluation during real encounter situations
21. Hazard identification and risk analysis of maritime autonomous surface ships: A systematic review and future directions
22. Incorporation of a global perspective into data-driven analysis of maritime collision accident risk
23. A data-driven risk model for maritime casualty analysis: A global perspective
24. Global food supply chain resilience assessment: A case in the United Kingdom
25. PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents
26. Use of Artificial Neural Networks to Enhance Container Port Safety Analysis Under Uncertainty
27. Multi-criteria Based Selection of Ship-Based Ballast Water Treatment Technologies
28. A spatial-temporal data mining method for the extraction of vessel traffic patterns using AIS data
29. Vulnerability analysis of cruise shipping in ASEAN countries facing COVID-19 pandemic
30. A framework for the optimal deployment of police drones based on street-level crime risk
31. Robust multi-equipment scheduling for U-shaped container terminals concerning double-cycling mode and uncertain operation time with cascade effects
32. Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships
33. A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
34. Quantification of CO2 emissions in transportation: An empirical analysis by modal shift from road to waterway transport in Zhejiang, China
35. Accident data-driven human fatigue analysis in maritime transport using machine learning
36. A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection
37. Multi-scale collision risk estimation for maritime traffic in complex port waters
38. Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters
39. Dynamic pricing and competition of container liner shipping services in a duopoly spot market
40. Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
41. Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
42. A hierarchical methodology for vessel traffic flow prediction using Bayesian tensor decomposition and similarity grouping
43. A quantitative study of the factors influencing human evacuation from ships
44. Towards safe navigation environment: The imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis
45. Research in marine accidents: A bibliometric analysis, systematic review and future directions
46. Exploring seafarers’ emotional responses to emergencies: An empirical study using a shiphandling simulator
47. Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships
48. AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
49. Analysing seafarer competencies in a dynamic human-machine system
50. A review on ports’ readiness to facilitate international hydrogen trade
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