MARISENSE — Maritime Systems Intelligence: Independent Subsystem Modeling and AI-Assisted Maritime System Health Index (MSHI)
MARISENSE is a Maritime Systems Intelligence framework that evaluates overall maritime system health through five independent subsystems: Vessel Traffic System (VTS), Port Operations System (POS), Ocean Environmental System (OES), Maritime Safety System (MSS), and Coastal Infrastructure System (CIS). The framework preserves subsystem independence while applying AI-assisted calibration, anomaly detection, and dynamic weighting to aggregate subsystem outputs into a composite Maritime System Health Index (MSHI). MARISENSE supports real-time maritime governance, operational monitoring, risk assessment, anomaly detection, and decision support for ports, coastal authorities, and maritime safety organizations.
Authors
- Samir Baladi (ORCID: https://orcid.org/0009-0003-8903-0029)
Institutions
- Renaissance University (NG)
- Renaissance Sciences Corporation (United States) (US)
- Ronin Institute (US)
- Renaissance Services (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-31
- DOI
- https://doi.org/10.5281/zenodo.20475603
- Primary Topic
- Maritime Navigation and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00