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

Informazioni relative al progetto

AXOLOTL

ID dell’accordo di sovvenzione: 101158669

DOI

10.3030/101158669

Data della firma CE 29 Aprile 2024

Data di avvio 1 Settembre 2024

Data di completamento 31 Agosto 2027

Finanziato da

• Widening participation and spreading excellence

Costo totale

Nessun dato

Contributo UE

€ 1 496 433,13

Coordinato da

CMMI CYPRUS MARINE AND MARITIME INSTITUTE
Cyprus

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (1)

Sensors

Autori: Andreas Hadjipieris, Neofytos Dimitriou, Ognjen Arandjelovic
Pubblicato in: Sensors, 2025, ISSN 1424-8220
Editore: MDPI
DOI: 10.17632/R37VWD493D.1