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Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning
This paper investigates the prediction of vessels' arrival time to the pilotage area using multi-data fusion and deep learning approaches.
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Based on the massive vessel trajectories collected, the CAE can learn the low-dimensional representations of informative trajectory images in an unsupervised manner.
Variational Regularized Transmission Refinement for Image Dehazing
High-quality dehazing performance is highly dependent upon the accurate estimation of transmission map.
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