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CORDIS

Environmental crimes’ intelligence and investigation protocol based on multiple data sources

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

Dissemination and Communication plan (opens in new window)

Results from T6.1. Core document outlining the impact-enabling approach, activities, channels, tools, and timing at the basis of the project’s D&C outreaching strategy, the internal communication processes, templates, responsibilities, KPIs and operative plan for action.Word doc.

Project web portal (opens in new window)

Result of T6.2. The project website will contain general information and specific updates about the project, links with social media channels, communication material (visual and audio-visual-graphic content) and press releases/articles around the project and related topics, publishing of re-useable artefacts, bi-annual e-Newsletter and Scientific/technical publications.Link & Credentials + Accompanying word doc (qualitative description).

Project Management Handbook (opens in new window)

Results from T7.1. Description of management procedures (i.e. appointment of responsible people, reporting, risk assessment, quality assessment), standards, templates to be used during the entire project implementation.Word doc.

Dissemination and communication activities report 1 (opens in new window)

Results from T6.2 and T6.3. Periodic updates on the state of advancement of the DCP implementation, latest results and KPIs status monitoring, plan for actions for next period.Word doc.

Publications

More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation (opens in new window)

Author(s): Molina, Matías; Veloso, Bruno; Abreu Ferreira, Carlos; Ribeiro, Rita; Gama, Joao
Published in: Frontiers in Artificial Intelligence and Applications ISBN: 9781643685489, 2024
Publisher: IOS Press Ebooks
DOI: 10.3233/FAIA241047

SUPER-RESOLVING WASTE DUMPS FROM SPACE WITH DEEP LEARNING: ROMANIA REGION USING SENTINEL-2 AND SPOT6/7 (opens in new window)

Author(s): Selea, Teodora; Boldeanu, George; Nistor, Fredrik Samujel; Gheorghe, Mihaela
Published in: 2023
Publisher: Big Data From Space 2023 (BiDS)
DOI: 10.5281/ZENODO.10665480

Vigilancia inteligente del agua: herramientas de computer vision e inteligencia artificial para combatir delitos ambientales (opens in new window)

Author(s): Valentí Quiroga, Meritxell; Bonastre Farran, Laura; Carmona Vázquez, Carlos; Joseph-Duran, Bernat; Fernández Campos, Ricardo; Negrete Berlanga, José Francisco
Published in: 2025
Publisher: TECNOAQUA
DOI: 10.5281/ZENODO.16313044

Waste crime investigation phases and the role of emerging technologies (opens in new window)

Author(s): Favarin, Serena; Screen, Phillip William; Axinte, Lorena A.
Published in: 2025, ISBN 978-88-99719-52-4
Publisher: Crime&tech
DOI: 10.5281/ZENODO.16418161

Controlul gestionării deșeurilor în rezultate și fapte (Waste management control in results and facts) (opens in new window)

Author(s): IPM
Published in: Managementul Deşeurilor, 2024
Publisher: Waste Management magazine
DOI: 10.5281/ZENODO.10604778

Harnessing Technologies in Combatting Environmental Crimes: The Potential of Satellites, Drones, Water Sensors, and Super-Resolution Imaging (opens in new window)

Author(s): Screen, Philip; Favarin, Serena; Giacinti, Filippo; Volpe, Margherita; Genova, Edoardo; Urazaeva, Alfiya; Boldeanu, George; Barbosa, Marta; Molina, Matias; Almeida Ribeiro, Rita Paula; Gama, Joao; Sarrias Monton, Miquel; Palomino, Antonio J.
Published in: 2024
Publisher: CEPOL Special Bulletin edition on Environmental Crime
DOI: 10.5281/ZENODO.13860504

Data Science for Fighting Environmental Crime (opens in new window)

Author(s): Barbosa, Marta; Ribeiro, Carolina; Gomes, Filipe; Almeida Ribeiro, Rita Paula; Gama, Joao
Published in: Communications in Computer and Information Science ISBN: 9783031746260, 2024
Publisher: Springer Nature
DOI: 10.5281/ZENODO.13860093

Super-Resolution Analysis for Landfill Waste Classification (opens in new window)

Author(s): Matías Molina; Rita P. Ribeiro; Bruno Veloso; João Gama
Published in: Lecture Notes in Computer Science, 2024, ISBN 978-3-031-58547-0
Publisher: Springer Nature
DOI: 10.1007/978-3-031-58547-0_13

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