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

Projektinformationen

AXOLOTL

ID Finanzhilfevereinbarung: 101158669

DOI

10.3030/101158669

EK-Unterschriftsdatum 29 April 2024

Startdatum 1 September 2024

Enddatum 31 August 2027

Finanziert unter

• Widening participation and spreading excellence

Gesamtkosten

Keine Daten

EU-Beitrag

€ 1 496 433,13

Koordiniert durch

CMMI CYPRUS MARINE AND MARITIME INSTITUTE
Cyprus

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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

Veröffentlichungen

Peer reviewed articles (1)

Sensors

Autoren: Andreas Hadjipieris, Neofytos Dimitriou, Ognjen Arandjelovic
Veröffentlicht in: Sensors, 2025, ISSN 1424-8220
Herausgeber: MDPI
DOI: 10.17632/R37VWD493D.1