Optimising Maritime Processes Via Artificial Intelligence: The VesselAI Concept And Use Cases

Mouzakitis, Spiros; Kontzinos, Christos; Kapsalis, Panagiotis; Kanellou, Ioanna; Kormpakis, Giorgos; Tsapelas, Giannis; Askounis, Dimitris

doi:10.1109/iisa56318.2022.9904345

Cited by 5 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Recognize Weaknesses: By highlighting the limitations or challenges associated with implementing AI technology in the maritime setting that can take a realistic view of areas that require attention and improvement (Mouzakitis et al, 2022).…”

Section: Maritime Research and Technologymentioning

confidence: 99%

The transformative potential of artificial intelligence in the maritime transport and its impact on port industry

Abdelsalam,

Elnabawi

2024

Mar. Res. & Tech

View full text Add to dashboard Cite

Purpose: Artificial intelligence (AI) has been recognized as a critical force in the maritime industry, transforming port operations to meet the needs of the digital age. A paradigm change is taking place in the marine industry, which is a crucial component of global economic systems and international trade. Ports are leading the way in this transformation, using cutting-edge digital and AI capabilities to introduce a new age of operating strategies that provide improved efficiency, accuracy, and security. Approach/Design/Methodology: Providing a historical summary of AI's evolution since the 1950s, the paper emphasizes its vital role in driving technical innovation and changing marine operations. Considerable attention is devoted to the ethical aspects of AI implementation in marine environments, promoting conscientious and ethical use. The article examines how AI improves marine operations, port, and port operation, in efficiency, accuracy, and security. It also addresses data management, financial issues, and ethical issues related to AI applications. The researchers employed a qualitative research technique to examine the transformative capacities of AI in the maritime industry and its impact on port operations with the support of SWOT Analyses. To gather primary data, a survey was conducted with industry professionals, including port officials, maritime specialists, and providers of AI technology.Findings: This study contributes to a better understanding of the role that AI plays in current marine activities through the SWOT analyses outcomes. The article emphasizes the profound ability of AI to bring about significant changes in port operations through the Positive Aspects as Operational Efficiency, Safety and decision making. It discusses the potential advantages and difficulties associated with AI implementation. The article offers useful insights for industry executives and regulators, underlining the need for strategic and ethical AI integration in maritime port operations.

show abstract

Section: Maritime Research and Technologymentioning

confidence: 99%

The transformative potential of artificial intelligence in the maritime transport and its impact on port industry

Abdelsalam,

Elnabawi

2024

Mar. Res. & Tech

View full text Add to dashboard Cite

show abstract

“…VesselAI leverages and combines existing frameworks and solutions in the areas of HPC, AI and big data to develop analytical services and decision-making procedures to support maritime digital twins and applications (Mouzakitis et al, 2022 ). The VesselAI components capitalize the amount of data that are generated from the maritime vessels (such as vessel sensor data, autonomous vessels data, AIS data) and combine them with data originating from weather & meteorological databases, satellite images, oceanographic data, and port data to support the machine and deep learning models training (Mouzakitis et al, 2023 ).…”

Section: Vesselai Concept and Architecturementioning

confidence: 99%

“…Indicative technologies that must be leveraged by maritime stakeholders to develop the next generation of maritime systems and applications are extreme-scale analytics, artificial intelligence (AI) and high-powered computing among others (Mouzakitis et al, 2023 ). Such innovative systems are not only projected to effectively deal with maritime big data but to also create various tools that can assist maritime industries, in an evolving and complex environment, to improve overall safety and reduce naval accidents and human casualties caused by human errors, improve ship performance, optimize naval routes and fleet intelligence, and reduce fuel consumption and Greenhouse Gas (GHG) emissions (Mouzakitis et al, 2022 ). The aforementioned needs require innovative solutions and smarter systems, which can be realized through AI, Machine Learning (ML), Deep Learning (DL), digital twins and other digital technologies.…”

Section: Introductionmentioning

confidence: 99%

Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture

Ilias¹,

Tsapelas²,

Kapsalis³

et al. 2023

Front. Big Data

Self Cite

View full text Add to dashboard Cite

The modern maritime industry is producing data at an unprecedented rate. The capturing and processing of such data is integral to create added value for maritime companies and other maritime stakeholders, but their true potential can only be unlocked by innovative technologies such as extreme-scale analytics, AI, and digital twins, given that existing systems and traditional approaches are unable to effectively collect, store, and process big data. Such innovative systems are not only projected to effectively deal with maritime big data but to also create various tools that can assist maritime companies, in an evolving and complex environment that requires maritime vessels to increase their overall safety and performance and reduce their consumption and emissions. An integral challenge for developing these next-generation maritime applications lies in effectively combining and incorporating the aforementioned innovative technologies in an integrated system. Under this context, the current paper presents the architecture of VesselAI, an EU-funded project that aims to develop, validate, and demonstrate a novel holistic framework based on a combination of the state-of-the-art HPC, Big Data and AI technologies, capable of performing extreme-scale and distributed analytics for fuelling the next-generation digital twins in maritime applications and beyond.

show abstract

The VesselAI Methodology for AI-Powered Decision Support Systems for the Maritime Industry

Kontzinos,

Mouzakitis,

Agostinho

et al. 2024

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Optimising Maritime Processes Via Artificial Intelligence: The VesselAI Concept And Use Cases

Cited by 5 publications

References 14 publications

The transformative potential of artificial intelligence in the maritime transport and its impact on port industry

The transformative potential of artificial intelligence in the maritime transport and its impact on port industry

Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture

The VesselAI Methodology for AI-Powered Decision Support Systems for the Maritime Industry

Contact Info

Product

Resources

About