ORIGINAL RESEARCH
Accepted on 08 Dec 2025
- Frontiers in Marine Science
- Solutions for Ocean and Coastal Systems
- Research Topics
- Big Data and AI for Sustainable Maritime Operations
Big Data and AI for Sustainable Maritime Operations
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Articles
ORIGINAL RESEARCH
Published on 17 Nov 2025
Comparative study of machine learning and deep learning in predicting the shear strength of marine sand and polymer layer interfaces interface under marine temperature effects
doi 10.3389/fmars.2025.1615580
- 1,146 views
ORIGINAL RESEARCH
Published on 07 Nov 2025
A stacking ensemble learning approach for accurate and interpretable prediction of ship energy consumption
doi 10.3389/fmars.2025.1679427
- 963 views
ORIGINAL RESEARCH
Published on 01 Oct 2025
Analyses of Ship A avoiding the influence caused by typhoon “Doksuri”
doi 10.3389/fmars.2025.1661860
- 2,350 views
METHODS
Published on 01 Sep 2025
TSeq-GAN: a generalized and robust blind source separation framework for AIS signals of unmanned surface vehicles
doi 10.3389/fmars.2025.1635614
- 1,030 views
POLICY AND PRACTICE REVIEWS
Published on 29 Aug 2025
Navigating the digital seas: Legal challenges and global governance of maritime cyber operations
doi 10.3389/fmars.2025.1616906
- 3,187 views
ORIGINAL RESEARCH
Published on 26 Aug 2025
Predictive modeling on the mechanical properties of marine coral sand-clay mixtures based on machine learning algorithms and triaxial shear tests
doi 10.3389/fmars.2025.1630481
- 1,496 views
ORIGINAL RESEARCH
Published on 31 Jul 2025
Blockchain in maritime: applications, effects and challenges
doi 10.3389/fmars.2025.1627544
- 3,617 views
- 1 citation
ORIGINAL RESEARCH
Published on 21 Jul 2025
Research on global ship cargo capacity prediction based on multi-source heterogeneous data
doi 10.3389/fmars.2025.1632661
- 1,052 views
- 1 citation
ORIGINAL RESEARCH
Published on 02 Jul 2025
Research on artificial intelligence-driven container relocation problem for green ports
doi 10.3389/fmars.2025.1614356
- 2,429 views
- 1 citation
ORIGINAL RESEARCH
Published on 25 Jun 2025
Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea
doi 10.3389/fmars.2025.1631650
- 2,144 views
- 1 citation
