Innovative solutions for Mediterranean Ecosystem Remediation via Monitoring and decontamination from Chemical Pollution

Informazioni relative al progetto

iMERMAID

ID dell’accordo di sovvenzione: 101112824

DOI

10.3030/101112824

Data della firma CE 21 Maggio 2023

Data di avvio 1 Giugno 2023

Data di completamento 31 Maggio 2026

Finanziato da

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Costo totale

€ 9 352 552,50

Contributo UE

€ 7 893 477,38

Coordinato da

FUNDACION INSTITUTO TECNOLOGICO DE CASTILLA Y LEON
Spain

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

Demonstrators, pilots, prototypes (2)

Requirements and design of the use cases
Toolkit for social impact

tools to support community activities to co-create goals and activities for an schooling project. with lesson package in Enflish/Greek/Spanish and Italian

Documents, reports (5)

Quality assurance Risk contingency plan updated
White paper on upstream solutions; strategic foresigh

Comparison of the most promising alternatives for chemicals to be used in water remediation

Communication, dissemination strategies - Initial plan; Midterm report; Final report

Communication, dissemination strategies - Initial plan; Midterm report; Final report, reviews in M18,36

Modelled Scalability of solutions
Benchmarking report on water remediation

Benchmarking and analysis of current aspects, requirements, specifications & conceptual architecture.

Websites, patent fillings, videos etc. (1)

material for the Open Call for Third parties

material that will be used to promote awareness of the Open calls and to involve the FSTP beneficiaries

Pubblicazioni

Conference proceedings (2)

Transfer Learning Model for Chlorophyll-a Estimation Using Satellite Imagery

Autori: Henitsoi Pavlo, Shelestov Andrii
Pubblicato in: Book of Abstracts of IV International Symposium on Applied Geoinformatics, 2024
Editore: Wroclaw Uniwersiy of Science and Technology Yilidz Technical University Technical University of Crete

Transfer Learning Models for Oil Spills Detection Based on Satellite Data

Autori: Kussul Nataliia, Kuzin Volodymyr, Salii Yevhenii, Yailymov Bohdan, Shelestov Andrii
Pubblicato in: IV International Symposium on Applied Geoinformatics, 2024
Editore: Wroclaw Uniwersiy of Science and Technology Yilidz Technical University Technical University of Crete

Peer reviewed articles (5)

Improving spatial resolution of chlorophyll-a in the Mediterranean sea based on machine learning

Autori: Bohdan Yailymov, Nataliia Kussul, Pavlo Henitsoi, Andrii Shelestov
Pubblicato in: Radioelectronic and Computer Systems, Numero 2, 2024, ISSN 2663-2012
Editore: National Aerospace University «Kharkiv Aviation Institute»
DOI: 10.32620/REKS.2024.2.05

Single-polarized SAR Image Preprocessing in Scope of Transfer Learning for Oil Spill Detection

Autori: Nataliia Kussul, Volodymyr Kuzin, Yevhenii Salii, Bohdan Yailymov, Andrii Shelestov
Pubblicato in: 2024 IEEE 12th International Conference on Intelligent Systems (IS), 2024, ISSN 2767-9802
Editore: IEEE
DOI: 10.1109/IS61756.2024.10705228

Increasing Chlorophyll-A Spatial Resolution Using Machine Learning

Autori: Bohdan Yailymov, Pavlo Henitsoi, Nataliia Kussul, Andrii Shelestov
Pubblicato in: Radioelectronic and Computer Systems, Numero 2, 2024, ISSN 2663-2012
Editore: National Aerospace University «Kharkiv Aviation Institute»
DOI: 10.32620/REKS.2024.2.05

Sustainable hybrid nanocomposites of Au nanoparticles modified carboxylated nanographene oxide: Electrochemical characterisation and estrone detection

Autori: Patrick Severin Sfragano, Serena Laschi, Fabio Vischio, Maria Lucia Curri, Chiara Ingrosso, Ilaria Palchetti
Pubblicato in: Microchemical Journal, Numero 207, 2025, ISSN 0026-265X
Editore: Elsevier BV
DOI: 10.1016/j.microc.2024.112145

Development of a flow system for decentralized electrochemical analysis of heavy metals using screen-printed electrodes: the importance of sensor stability

Autori: Serena Laschi, Patrick Severin Sfragano, Francesco Tadini-Buoninsegni, Nathalie Guigues, Ilaria Palchetti
Pubblicato in: The Analyst, Numero 149, 2024, ISSN 0003-2654
Editore: Royal Society of Chemistry (RSC)
DOI: 10.1039/D4AN00616J