The objective of this work is to present an approach based on deep learning models to predict the ETA of vessels in the Saint Lawrence River. The models were ...
Aug 22, 2024 · The study conducted by Bourzak et al. (2023) presents an approach based on deep learning models to predict the Estimated Time of Arrival ...
The objective of this work is to present an approach based on deep learning models to predict the ETA of vessels in the Saint Lawrence River. The models were ...
Deep Learning Approaches for Vessel Estimated Time of Arrival Prediction: A Case Study on the Saint Lawrence River. I Bourzak, S El Mekkaoui, A Berrado, S Caron ...
The study conducted by Bourzak et al. (2023) presents an approach based on deep learning models to predict the Estimated Time of Arrival (ETA) of vessels. The ...
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Jul 24, 2024 · This research work proposes a method to predict vessel arrival time that could eventually be incorporated into an intelligent decision support system.
This paper addresses the problem of vessel arrival times prediction to destination ports using Machine Learning models and vessels' historical trajectories data ...
Jan 12, 2023 · This study proposes a data-driven solution based on deep learning sequence methods and historical ship trip data to predict ship speeds at different steps of a ...
This study shows how both recurrent and convolutional neural networks can leverage vessel historical voyage data to predict travel time to the destination. More.
Missing: Saint Lawrence River.
Deep Learning Approaches for Vessel Estimated Time of Arrival Prediction: A Case Study on the Saint Lawrence River. 1-7. view. electronic edition via DOI ...