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

Informations projet

AXOLOTL

N° de convention de subvention: 101158669

DOI

10.3030/101158669

Date de signature de la CE 29 Avril 2024

Date de début 1 Septembre 2024

Date de fin 31 Août 2027

Financé au titre de

• Widening participation and spreading excellence

Coût total

Aucune donnée

Contribution de l’UE

€ 1 496 433,13

Coordonné par

CMMI CYPRUS MARINE AND MARITIME INSTITUTE
Cyprus

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Auteurs: Andreas Hadjipieris, Neofytos Dimitriou, Ognjen Arandjelovic
Publié dans: Sensors, 2025, ISSN 1424-8220
Éditeur: MDPI
DOI: 10.17632/R37VWD493D.1