1. Brunel University Research Archive
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  4. Dept of Mechanical and Aerospace Engineering Embargoed Research Papers
Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32074
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dc.contributor.authorTintore, B-
dc.contributor.authorTroisi, G-
dc.contributor.authorSiggaroa, M-
dc.contributor.authorTsimpidis, T-
dc.coverage.spatialGenoa, Italy-
dc.date.accessioned2025-09-29T16:02:07Z-
dc.date.available2025-09-29T16:02:07Z-
dc.date.issued2025-10-08-
dc.identifierORCiD: Gera Troisi https://orcid.org/0000-0003-0889-9834-
dc.identifier.citationTintore, B. et al. (2025) 'Implementation of Machine – Learning Models to study Habitat Suitability for Deep-Diving Cetaceans in the Ikarian Basin Paper', 2025 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, Genoa, Italy, 8-10 October, pp. 1 - 5.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/32074-
dc.descriptionThe authors would like to thank the Archipelagos Institute of Marine Conservation team for their support with data collection.en_US
dc.description.abstract...en_US
dc.description.sponsorship...en_US
dc.format.extent1 - 5-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2025 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ).-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.source2025 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters-
dc.source2025 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters-
dc.subjectIkarian Basinen_US
dc.subjectdeep-diving cetaceansen_US
dc.subjecthabitat suitability modelsen_US
dc.subjectimportant marine mammal areasen_US
dc.subjectIMMAen_US
dc.titleImplementation of Machine – Learning Models to study Habitat Suitability for Deep-Diving Cetaceans in the Ikarian Basin Paperen_US
dc.typeConference Paperen_US
pubs.finish-date2025-10-10-
pubs.finish-date2025-10-10-
pubs.publication-statusAccepted-
pubs.start-date2025-10-08-
pubs.start-date2025-10-08-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Embargoed Research Papers

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