Applied AI in Maritime Operations: Domain Adaptations of General AI Primitives on a Live Fleet

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Authors: Anil Kumar Sharma
Cited by: 2

Abstract

We document eight domain adaptations of general AI techniques for maritime operations, grounded in a live deployment on M/V Cape Glory (31 compliance checks, 2026-03-23). Adaptations cover: LLM routing by rule domain rather than task complexity, seafarer memory with cryptographic wipe on sign-off, rule-corpus-validated synthetic data generation, domain-anchored self-consistency scoring, Hindi-maritime voice interaction for freight booking, SFI-code-aware procurement fraud detection, legally-ordered compliance gates, and offline edge inference via cached VIVEKA conclusions. Each adaptation explicitly acknowledges the source technique and claims novelty only for the maritime-specific modification.

Fields of Study & Subjects

Maritime Navigation and Safety Adversarial Robustness in Machine Learning Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 March 2026