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Accurate modeling of ship performance is crucial for the shipping industry to optimize fuel consumption and subsequently reduce emissions. However, predicting the speed-power relation in real-world conditions remains a challenge. In this…

Machine Learning · Computer Science 2022-12-27 Simon DeKeyser , Casimir Morobé , Malte Mittendorf

The hydrodynamic performance of a sea-going ship varies over its lifespan due to factors like marine fouling and the condition of the anti-fouling paint system. In order to accurately estimate the power demand and fuel consumption for a…

Machine Learning · Statistics 2022-12-14 Prateek Gupta , Adil Rasheed , Sverre Steen

This paper proposes a data preparation process for managing real-world kinematic data and detecting fishing vessels. The solution is a binary classification that classifies ship trajectories into either fishing or non-fishing ships. The…

Machine Learning · Computer Science 2025-01-07 David Sánchez Pedroche , Daniel Amigo , Jesús García , Jose M. Molina

Several approaches have been developed for improving the ship energy efficiency, thereby reducing operating costs and ensuring compliance with climate change mitigation regulations. Many of these approaches will heavily depend on measured…

Computational Engineering, Finance, and Science · Computer Science 2024-02-02 Mohamed Abuella , Hadi Fanaee , Slawomir Nowaczyk , Simon Johansson , Ethan Faghani

To meet the urgent requirements for the climate change mitigation, several proactive measures of energy efficiency have been implemented in maritime industry. Many of these practices depend highly on the onboard data of vessel's operation…

Computational Engineering, Finance, and Science · Computer Science 2024-04-02 Mohamed Abuella , Hadi Fanaee , M. Amine Atou , Slawomir Nowaczyk , Simon Johansson , Ethan Faghani

Automatic Identification System (AIS) data represents a rich source of information about maritime traffic and offers a great potential for data analytics and predictive modeling solutions, which can help optimizing logistic chains and to…

Artificial Intelligence · Computer Science 2021-05-04 Tomaz Martincic , Dejan Stepec , Joao Pita Costa , Kristijan Cagran , Athanasios Chaldeakis

The lateral-line system that has evolved in many aquatic animals enables them to navigate murky fluid environments, locate and discriminate obstacles. Here, we present a data-driven model that uses artificial neural networks to process flow…

Fluid Dynamics · Physics 2022-09-28 Sreetej Lakkam , Balamurali B T , Roland Bouffanais

Hospitals around the world collect massive amounts of physiological data from their patients every day. Recently, there has been an increase in research interest to subject this data to statistical analysis to gain more insights and provide…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-04 Anand Jayarajan , Kimberly Hau , Andrew Goodwin , Gennady Pekhimenko

The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or satellite base stations. The gathered data contains a wealth…

Other Computer Science · Computer Science 2016-06-06 Enmei Tu , Guanghao Zhang , Lily Rachmawati , Eshan Rajabally , Guang-Bin Huang

Ship trajectories from Automatic Identification System (AIS) messages are important in maritime safety, domain awareness, and algorithmic testing. Although the specifications for transmitting and receiving AIS messages are fixed, it is well…

Applications · Statistics 2024-08-26 Niklas Paulig , Ostap Okhrin

Leveraging empirical data is crucial in the development of accurate and reliable virtual models for the advancement of autonomous ship technologies and the optimization of port operations. This study presents an in-depth analysis of ship…

Systems and Control · Electrical Eng. & Systems 2024-08-27 Agnes N. Mwange , Yoshiki Miyauchi , Taichi Kambara , Hiroaki Koike , Kazuyoshi Hosogaya , Atsuo Maki

The deployment of autonomous navigation systems on ships necessitates accurate motion prediction models tailored to individual vessels. Traditional physics-based models, while grounded in hydrodynamic principles, often fail to account for…

A significant portion of the effort involved in advanced process control, process analytics, and machine learning involves acquiring and preparing data. Literature often emphasizes increasingly complex modelling techniques with incremental…

Systems and Control · Electrical Eng. & Systems 2023-04-07 Lim C. Siang , Shams Elnawawi , Lee D. Rippon , Daniel L. O'Connor , R. Bhushan Gopaluni

With the rapid growth in the number of devices of the Internet of Things (IoT), the volume and types of stream data are rapidly increasing in the real world. Unfortunately, the stream data has the characteristics of infinite and periodic…

Performance · Computer Science 2022-12-13 Weirong Xiu , Baozhu Li , Xusheng Du , Zheng Chu

A growing number of applications that generate massive streams of data need intelligent data processing and online analysis. Real-time surveillance systems, telecommunication systems, sensor networks and other dynamic environments are such…

Databases · Computer Science 2011-05-11 Mahnoosh Kholghi , Mohammadreza Keyvanpour

Maritime domain awareness is critical for protecting sea lanes, ports, harbors, offshore structures and critical infrastructures against common threats and illegal activities. Limited surveillance resources constrain maritime domain…

Machine Learning · Computer Science 2015-08-04 Hamed Yaghoubi Shahir , Uwe Glässer , Amir Yaghoubi Shahir , Hans Wehn

In recent years, maritime safety and efficiency become more and more important across the world. Automatic Identification System (AIS) tracks vessel movement by onboard transceiver and terrestrial and/or satellite base station. The data…

Databases · Computer Science 2016-10-14 Shangbo Mao , Enmei Tu , Guanghao Zhang , Lily Rachmawati , Eshan Rajabally , Guang-Bin Huang

Whilst climate change is transforming the Arctic into a navigable ocean where small ice floes are floating on the sea surface, the effect of such ice conditions on ship performance has yet to be understood. The present work combines a set…

In response to climate change, the International Maritime Organization has introduced regulatory frameworks to reduce greenhouse gas emissions from international shipping. Compliance with these regulations is increasingly expected from…

Optimization and Control · Mathematics 2026-02-13 Samuel Ward , Marah-Lisanne Thormann , Julian Wharton , Alain Zemkoho

The following work addresses the problem of frameworks for data stream processing that can be used to evaluate the solutions in an environment that resembles real-world applications. The definition of structured frameworks stems from a need…

Machine Learning · Computer Science 2025-09-30 Joanna Komorniczak , Paweł Ksieniewicz , Paweł Zyblewski
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