Výsledky vyhledávání

Akademický článek

Refining maritime Automatic Speech Recognition by leveraging synthetic speech

Autor: Christoph Martius, Emin Çağatay Nakilcioğlu, Maximilian Reimann, Ole John

Publikováno v: Maritime Transport Research, Vol 7, Iss , Pp 100114- (2024)

Maritime transport serves as a critical component of global trade and logistics, enabling the movement of goods and resources across oceans and waterways. Especially in busy waterways and ports, effective and accurate communication is essential, as i

Externí odkaz: https://doaj.org/article/4e0d80e219374a7c95b520b384b15a73

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Akademický článek

Forecasting worldwide empty container availability with machine learning techniques

Autor: Christoph Martius, Lutz Kretschmann, Miriam Zacharias, Carlos Jahn, Ole John

Publikováno v: Journal of Shipping and Trade, Vol 7, Iss 1, Pp 1-24 (2022)

Abstract Due to imbalances in the global transport of containerised goods, liner shipping companies go to great lengths to match the regional supply and demand for empty containers by transporting equipment from surplus to deficit regions. Making acc

Externí odkaz: https://doaj.org/article/733412f579d844c1bc6ee4e19044e5e7

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Akademický článek

Assisting Maritime Search and Rescue (SAR) Personnel with AI-Based Speech Recognition and Smart Direction Finding

Autor: Aylin Gözalan, Ole John, Thomas Lübcke, Andreas Maier, Maximilian Reimann, Jan-Gerrit Richter, Ivan Zverev

Publikováno v: Journal of Marine Science and Engineering, Vol 8, Iss 10, p 818 (2020)

Communication for processing relevant information plays a paramount role in developing a comprehensive understanding of Search and Rescue (SAR) situations and conducting operations in a successful and reliable manner. Nevertheless, communication syst

Externí odkaz: https://doaj.org/article/70da6885174e4c74a31f08433f31a87d

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Akademický článek

The Role of the European Maritime Simulator Network in Assessing Dynamic Sea Traffic Management Principles

Autor: Anisa Rizvanolli, Hans-Christoph Burmeister, Ole John

Publikováno v: TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol 9, Iss 4, Pp 559-564 (2015)

The MONALISA 2.0 (ML 2.0) project aims to define the Sea Traffic Management concept (STM), where information is shared amongst all stakeholders in the maritime transport chain, including nautical officers, ports, administrations, etc. Thus, a communi

Externí odkaz: https://doaj.org/article/cabb2b73460a4dc195c439a57de7b088

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