The Naval Architect provides in-depth information on all aspects of vessel design, construction and engineering. Practical applications of latest technology and case studies are accompanied by analysis and foresights. Published every two months, the magazine covers everything from superyachts and short-hop ferries to tankers and heavy-lift vessels; from battery pack installations and sail-assisted solutions to LNG tank retrofits; and from offshore safety to warship resilience.
REVIEW OF TECHNOLOGIES FOR REGIONAL ICE SEVERITY SENSING
Smart Ship Technology
A proposed data aggregation framework is strengthening navigation in ice-covered waters by combining forecasts, ice sensing technologies and vessel-specific risk models. By transforming diverse data into regional ice severity maps, the approach supports safer route optimization, informed decision-making and future autonomous operations in challenging polar environments.
DEMYSTIFYING DIGITAL TWINS
Smart Ship Technology
Digital twins are emerging as a cornerstone of maritime digital transformation, turning real-time sensor data, models and simulations into actionable operational insight. By clarifying their structure, applications and future evolution, the approach highlights how data-driven learning systems can optimize performance, support decision-making and unlock new opportunities across complex assets.
UTILIZATION OF ARTIFICIAL NEURAL NETWORKS AS A BASIS FOR DECISION SUPPORT SYSTEM
Smart Ship Technology
Artificial intelligence is enabling smarter, energy-efficient ship operations through real-time decision support. Using sea-trial data and optimized neural network models, the system accurately predicts fuel consumption across voyage scenarios, supporting weather routing, trim and ballast optimization. The approach demonstrates how data-driven forecasting can improve operational efficiency, sustainability and voyage planning.
AN INNOVATIVE MACHINE LEARNING SYSTEM FOR REAL TIME CONDITION MONITORING OF SHIP MACHINERY
Smart Ship Technology
Artificial intelligence is enabling smarter, energy-efficient ship operations through real-time decision support. Using sea-trial data and optimized neural network models, the system accurately predicts fuel consumption across voyage scenarios, supporting weather routing, trim and ballast optimization. The approach demonstrates how data-driven forecasting can improve operational efficiency, sustainability and voyage planning.
Autonomous Ships 2022 Conference Proceedings
Autonomous Ships
This is the Whole Conference Proceedings for: Autonomous Ships, 31st March - 1st April 2022, National Maritime Museum, Greenwich, London, United Kingdom
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