3 citations · 3 across the 5 of their papers we have counts for
5 papers
Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach
Deqing Zhai, Xiuju Fu, Xiao Feng Yin +2
Given the trend of digitization and increasing number of maritime transport, prediction of vessel berth stay has been triggered for requirements of operation research and schedulin…
Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach
Deqing Zhai, Xiuju Fu, Xiao Feng Yin +3
In this study, a probability density-based approach for constructing trajectories is proposed and validated through an typical use-case application: Estimated Time of Arrival (ETA)…
Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches
Deqing Zhai, Yeng Chai Soh
In this study, a novel application of neural networks that predict thermal comfort states of occupants is proposed with accuracy over 95%, and two optimization algorithms are propo…
Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 2
Deqing Zhai, Xiuju Fu, Xiao Feng Yin +3
In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing weighted average turnaround time. The proposed approach is d…
Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 1
Deqing Zhai, Xiuju Fu, Xiao Feng Yin +3
In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing average wait time and turnaround time. The proposed approach…