From sky to seafloor observation: Achieving eXcellence in Oceanic surveiLlance and cOnservation Through deep Learning

Project Information

AXOLOTL

Grant agreement ID: 101158669

DOI

10.3030/101158669

EC signature date 29 April 2024

Start date 1 September 2024

End date 31 August 2027

Funded under

• Widening participation and spreading excellence

Total cost

No data

EU contribution

€ 1 496 433,13

Coordinated by

CMMI CYPRUS MARINE AND MARITIME INSTITUTE
Cyprus

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

This is the initial Data Management Plan of the project which details the project's approach and procedures for managing data. It is the output of Task 1.5.

Data sets, microdata, etc (1)

ARMS Data Set (ARMSDS) and Satellite Vessel Data Set (SATVESSELDS)

This deliverable consists of the ARMS Data Set (ARMSDS) and Satellite Vessel Data Set (SATVESSELDS), it is the output of Task 5.1 and Task 5.2.

Documents, reports (2)

Initial Report on capacity-building and knowledge transfer in AXOLOTL scientific areas and in AXOLOTL administrative skills

Initial Report on capacity-building and knowledge transfer in AXOLOTL scientific areas and in AXOLOTL administrative skillsIt is the output of Task T3.2 and Task 3.3

Joint SRIA

This the Joint SRIA produced by CMMI and the Advanced partners. It sets the priorities for the upcoming research and innovation activities. It is the output of Task 3.1. Updates to the joint SRIA will be reported in subsequent periodic reports.

Websites, patent fillings, videos etc. (1)

PEDR I

This is the PEDR I, it is the output of Task T9.1

Publications

Peer reviewed articles (1)

Sensors

Author(s): Andreas Hadjipieris, Neofytos Dimitriou, Ognjen Arandjelovic
Published in: Sensors, 2025, ISSN 1424-8220
Publisher: MDPI
DOI: 10.17632/R37VWD493D.1