Version 1
: Received: 17 July 2024 / Approved: 18 July 2024 / Online: 18 July 2024 (17:26:54 CEST)
How to cite:
Sotirov, M. K.; Petrova, V. M.; Dimitrov, D. P. Theoretical Framework for Future Developments: AI-Based Predictions and Risk Assessment for Coastal Ports in the Bulgarian Sector of the Black Sea. Preprints2024, 2024071541. https://doi.org/10.20944/preprints202407.1541.v1
Sotirov, M. K.; Petrova, V. M.; Dimitrov, D. P. Theoretical Framework for Future Developments: AI-Based Predictions and Risk Assessment for Coastal Ports in the Bulgarian Sector of the Black Sea. Preprints 2024, 2024071541. https://doi.org/10.20944/preprints202407.1541.v1
Sotirov, M. K.; Petrova, V. M.; Dimitrov, D. P. Theoretical Framework for Future Developments: AI-Based Predictions and Risk Assessment for Coastal Ports in the Bulgarian Sector of the Black Sea. Preprints2024, 2024071541. https://doi.org/10.20944/preprints202407.1541.v1
APA Style
Sotirov, M. K., Petrova, V. M., & Dimitrov, D. P. (2024). Theoretical Framework for Future Developments: AI-Based Predictions and Risk Assessment for Coastal Ports in the Bulgarian Sector of the Black Sea. Preprints. https://doi.org/10.20944/preprints202407.1541.v1
Chicago/Turabian Style
Sotirov, M. K., Valentina Markova Petrova and Dimitar Petkov Dimitrov. 2024 "Theoretical Framework for Future Developments: AI-Based Predictions and Risk Assessment for Coastal Ports in the Bulgarian Sector of the Black Sea" Preprints. https://doi.org/10.20944/preprints202407.1541.v1
Abstract
The integration of Artificial Intelligence (AI) in predicting and managing risks for coastal port developments significantly enhances planning and operational efficiency. This paper presents a theoretical framework utilizing AI to predict future scenarios based on geological, hydrodynamic, and oceanographic factors. Focusing on the effective implementation of AI in ports, with a specific emphasis on Bulgarian Black Sea coastal areas such as Nesebur, Sarafovo, Sozopol, St. Anastasia Island, and the region of Karantinata in Varna, the study explores AI applications for site selection, risk assessment, and operational optimization to ensure resilient, efficient, and sustainable port infrastructure.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
