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eess.SY2022
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)…
eess.SY2022
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…