Artificial Intelligence based Virtual Control Room for the Arctic (AI-ARC)

Risultati finali

Key Performance Indicators Report, evaluating the pre-operational demonstrations in terms of lessons learned, with a specific attention to the added value for the various Arctic/High North User Communities of the tested AI-basedinformation services VCR with reference to the current operational capabilities in the test Arctic region(s).

Policy Brief

The policy Briefs and recommendations of AI-ARC solutionfor wider Arctic cooperation. We will have internal versions in Months 18 and 24, after which the final version will be put together into a deliverable and submitted in M29.

Dissemination and Communication Output Report

Dissemination and Communication Output Report We will have different versions in Months 6 13 24 and 30

Demonstration Plan Baltic

Demonstration plan for the demonstration in the Baltic. The Baltic use case will build intelligent AI anomaly annotation (rising alert flags) and intelligent forecasting.

Final demonstration results

Final demonstration results from both Demonstrations.

Final Dissemination and Communication Output report
Six Monthly Action Reports to EC

Six Monthly Action Reports to the EC We will have different versions with due dates in Months 6 13 19 and 25

Demonstration Plan Artic

Demonstration plan for the Artic demonstration. A plan from the demonstration that will be done in Icelandic EEZ. Special Arctic elements are linked tothis use case i.e. weather, seabed mapping, evacuation capacity, medical assistance, icefield, iceberg, icingon ship structure, oil spill response etc. Virtual Control Room to be shared to entities.

Roadmap of needs versus solution report

Roadmap of needs versus solution report.

Stakeholder engagement database
Market analysis and preliminary exploitation plan

Market analysis and preliminary exploitation plan. A market analysis, (including an estimation of the total and addressable market size, a meaningful market segmentation, a grouping of customers by size and importance and an assessment of their likelyability to pay for the services).

Project management handbook to partners
Exploitation, business models and sustainability roadmap

Exploitation, business models and sustainability roadmap, which will include a preliminary exploitation analysis (including analysis of the competition, service value chain, noneconomic viability analysis and ideas on business model for service provisioning); and a final exploitation plan, meant as a report integrating the marketable results, the exploitation agreement, and defining the roadmap for exploitation of the project.

Kick-Off meeting

Report on KickOff meeting

AI-ARC Pre-operational Validation and Test Plan

AI-ARC Pre-operational Validation andTest Plan. AI-ARC developments validated by the various communities of End-Users and convincing promotional demos available for the project dissemination.

Societal Impact Assessment report

Societal Impact Assessment report. Two different versions will be provided, the first one in M20 as an internal report and the second one as a deliverable in M30.

Detailed dissemination and communication plan

Detailed dissemination and communication plan. Update and review in M13 and final version M25.

Dissemination and communication tools

Dissemination and communication tools. Project website, social media pages (Twitter, LinkedIn, Instagram, YouTube Channel), report and presentation templates, slide share templates, promotional video and flyers.

Survey on citizens and user's acceptance of the AI-ARC solution and its societal implications

Survey on citizens and user’s acceptance of the AI-ARC solution and its societal implications. Two surveys will be carried out, the first one in M19 as an internal report and the second one in month 30, which will also be delivered as a formal deliverable.

Data Management Plan

Data Management Plan Initial Data Management Plan M2 Complemented with a GDPR assessment ensuring the AIARC solutions compliance with GDPR M41530 Complemented with a legal assessment for current and future exploitation opportunities M1530

Pubblicazioni

Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture

Autori: Sheikh Javad, Farahnakian Fahimeh, Farahnakian Farshad, Heikkonen Jukka
Pubblicato in: IEEE International Conference on Intelligent Transportation Systems, 2023, ISSN 2153-0009
Editore: IEEE
DOI: 10.1109/itsc57777.2023.10422541

Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach

Autori: Sheikh Javad, Farahnakian Fahimeh, Farahnakian Farshad, Heikkonen Jukka
Pubblicato in: The 28th International Conference on Automation and Computing: Digitalisation for Smart Manufacturing and Systems, 2023, ISSN 0000-0000
Editore: IEEE
DOI: 10.1109/icac57885.2023.10275247

Abnormal Behaviour Detection by Using Machine Learning-Based Approaches in the Marine Environment: A Literature Survey

Autori: F. Farahnakian, J. Heikkonen and P. Nevalainen
Pubblicato in: 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022., 2022, ISSN 0000-0000
Editore: IEEE
DOI: 10.1109/icecet55527.2022.9872905

A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior

Autori: Farahnakian Farshad, Nicolas Florent, Farahnakian Fahimeh, Nevalainen Paavo, Sheikh Javad, Heikkonen Jukka, Raduly-Baka Csaba
Pubblicato in: Remote Sensing, 15, 1477, 2023, ISSN 0000-0000
Editore: MPDI
DOI: 10.3390/rs15061477

Risultati finali

Pubblicazioni

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