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Berth-scheduling Policy for Port Operations from the AI Point of View
Sep 21st 2024

Berth-scheduling Policy for Port Operations from the AI Point of View

The development of an effective berth-scheduling policy can minimize vessel delayed departures and indirectly reduce fuel consumption and emissions.
Top ten Challenges in Satellite Data Preprocessing
Jul 10th 2024

Top ten Challenges in Satellite Data Preprocessing

Challenges in satellite data preprocessing involve addressing issues to enhance the accuracy and reliability of the data for subsequent analysis.
Satellite Orbital Data Analysis via Machine Learning
Feb 5th 2024

Satellite Orbital Data Analysis via Machine Learning

This article provides initial evidence demonstrating the utilization of machine learning applications in modeling satellite behavior.
Satellite AIS Data Preprocessing, Quality Dimensions and Challenges
Jan 8th 2024

Satellite AIS Data Preprocessing, Quality Dimensions and Challenges

Data derived from the AIS plays a key role in water traffic data mining. This article summarizes the errors in various quality dimensions of AIS data.
Hybrid Evolutionary Algorithms for Optimal Space Trajectories
Dec 18th 2023

Hybrid Evolutionary Algorithms for Optimal Space Trajectories

Space trajectory optimization methods are boosted via hybrid evolutionary algorithms that exploit different algorithms in a cooperative procedure.
Machine Learning for ETA Prediction
Nov 28th 2023

Machine Learning for ETA Prediction

To enhance port operations efficiency, accurately prediction of ETA for sea-going vessels is crucial and can be achieved via novel Machine Learning methods.
Effective Space Trajectory Optimization: A Crucial Need in the Space Sector
Nov 9th 2023

Effective Space Trajectory Optimization: A Crucial Need in the Space Sector

The modern space engineering landscape requires the development of specialized heuristic algorithms tailored explicitly for optimizing space trajectories.