Zaili Yang

Liverpool John Moores University

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (11)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Collaborators (5)

Sean Loughney

Associate Professor in Marine Engineering & Asset Management

Liverpool John Moores University

UNITED KINGDOM

View details

Mark Ching-Pong Poo

Lecturer

Liverpool Hope University

UNITED KINGDOM

View details

Nduka Nnamdi Ekere

Liverpool John Moores University

UNITED KINGDOM

View details

Eduardo Blanco-Davis

Lecturer

Liverpool John Moores University

UNITED KINGDOM

View details

Jin Wang

Professor of Marine Technology

Liverpool John Moores University

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Zaili Yang

Research Interests

Explore related searches

Contact this professor

Articles (11)

Multi-scale collision risk estimation for maritime traffic in complex port waters

Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters

Incorporation of seafarer psychological factors into maritime safety assessment

The Evaluation of Seafarer Fatigue as a Performance-Shaping Factor in the Maritime HRA Method

Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping

Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis

Exploring seafarers’ emotional responses to emergencies: An empirical study using a shiphandling simulator

Key Contributory Factors Influencing Cycling Safety: Comprehensive Review Based on Accident Data and Literature Survey

Analysing seafarer competencies in a dynamic human-machine system

Modeling Categorized Truck Arrivals at Ports: Big Data for Traffic Prediction

Optimising the resilience of shipping networks to climate vulnerability

Collaborators (5)

Sean Loughney

Mark Ching-Pong Poo

Nduka Nnamdi Ekere

Eduardo Blanco-Davis

Jin Wang

Make your next move.