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Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning
March 18, 2024, 4:41 a.m. | Xiaocai Zhang, Xiuju Fu, Zhe Xiao, Haiyan Xu, Xiaoyang Wei, Jimmy Koh, Daichi Ogawa, Zheng Qin
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper investigates the prediction of vessels' arrival time to the pilotage area using multi-data fusion and deep learning approaches. Firstly, the vessel arrival contour is extracted based on Multivariate Kernel Density Estimation (MKDE) and clustering. Secondly, multiple data sources, including Automatic Identification System (AIS), pilotage booking information, and meteorological data, are fused before latent feature extraction. Thirdly, a Temporal Convolutional Network (TCN) framework that incorporates a residual mechanism is constructed to learn the hidden …
abstract arxiv clustering contour cs.lg data data sources deep learning fusion kernel multiple multivariate paper prediction type
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