Enhancing Safety in Autonomous Maritime Transportation Systems with Real-Time AI Agents DOI Creative Commons
Irmina Durlik, Tymoteusz Miller, Ewelina Kostecka

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4986 - 4986

Published: April 30, 2025

The maritime transportation sector is undergoing a profound shift with the emergence of autonomous vessels powered by real-time artificial intelligence (AI) agents. This article investigates pivotal role these agents in enhancing safety, efficiency, and sustainability systems. Following structured literature review, we examine architecture AI agents, including sensor integration, communication systems, computational infrastructure. We distinguish from conventional systems emphasizing their specialized functions, processing demands, resilience dynamic environments. Key safety mechanisms—such as collision avoidance, anomaly detection, emergency coordination, fail-safe operations—are analyzed to demonstrate how contribute operational reliability. study also explores regulatory compliance, focusing on emission control, monitoring, data governance. Implementation challenges, limited onboard power, legal ethical constraints, interoperability issues, are addressed practical solutions such edge modular architectures. Finally, outlines future research directions involving smart port scalable models, emerging technologies like federated explainable AI. work highlights transformative potential advancing transportation.

Language: Английский

Collective modes in two-dimensional non-Fermi liquids DOI
D. V. Khveshchenko

Physical review. B./Physical review. B, Journal Year: 2025, Volume and Issue: 111(16)

Published: April 8, 2025

Citations

0
Dynamical kinetic energy quenching in antiferromagnetic quantum critical metals DOI

Anton Borissov,

Vladimir Calvera, Sung-Sik Lee

et al.

Physical review. B./Physical review. B, Journal Year: 2025, Volume and Issue: 111(15)

Published: April 10, 2025

Language: Английский

Citations

0
Enhancing Safety in Autonomous Maritime Transportation Systems with Real-Time AI Agents DOI Creative Commons
Irmina Durlik, Tymoteusz Miller, Ewelina Kostecka

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4986 - 4986

Published: April 30, 2025

The maritime transportation sector is undergoing a profound shift with the emergence of autonomous vessels powered by real-time artificial intelligence (AI) agents. This article investigates pivotal role these agents in enhancing safety, efficiency, and sustainability systems. Following structured literature review, we examine architecture AI agents, including sensor integration, communication systems, computational infrastructure. We distinguish from conventional systems emphasizing their specialized functions, processing demands, resilience dynamic environments. Key safety mechanisms—such as collision avoidance, anomaly detection, emergency coordination, fail-safe operations—are analyzed to demonstrate how contribute operational reliability. study also explores regulatory compliance, focusing on emission control, monitoring, data governance. Implementation challenges, limited onboard power, legal ethical constraints, interoperability issues, are addressed practical solutions such edge modular architectures. Finally, outlines future research directions involving smart port scalable models, emerging technologies like federated explainable AI. work highlights transformative potential advancing transportation.

Language: Английский

Citations

0