Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/10646| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pasquet, Jérôme | - |
| dc.contributor.author | Demesticha, Stella | - |
| dc.contributor.author | Skarlatos, Dimitrios | - |
| dc.contributor.author | Merad, Djamal | - |
| dc.contributor.author | Drap, Pierre | - |
| dc.date.accessioned | 2018-02-13T14:09:10Z | - |
| dc.date.available | 2018-02-13T14:09:10Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | IMEKO International Conference on Metrology for Archaeology and Cultural Heritage, 2017, Lecce, Italy, 23-25 October | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.14279/10646 | - |
| dc.format | en_US | |
| dc.language.iso | en | en_US |
| dc.relation | Advanced VR, iMmersive serious games and Augmented REality as tools to raise awareness and access to European underwater CULTURal heritage | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Convolution neuronal network | en_US |
| dc.subject | Gradient weighted error | en_US |
| dc.subject | Amphora | en_US |
| dc.title | Amphora Detection Based on a Gradient Weighted Error in a Convolution Neuronal Network | en_US |
| dc.type | Conference Papers | en_US |
| dc.collaboration | Université De Toulon | en_US |
| dc.collaboration | University of Cyprus | en_US |
| dc.collaboration | Cyprus University of Technology | en_US |
| dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
| dc.country | France | en_US |
| dc.country | Cyprus | en_US |
| dc.subject.field | Engineering and Technology | en_US |
| dc.publication | Peer Reviewed | en_US |
| dc.relation.conference | International Conference on Metrology for Archaeology and Cultural Heritage | en_US |
| cut.common.academicyear | 2017-2018 | en_US |
| item.openairetype | conferenceObject | - |
| item.grantfulltext | open | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
| item.cerifentitytype | Publications | - |
| item.languageiso639-1 | en | - |
| item.fulltext | With Fulltext | - |
| crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
| crisitem.author.faculty | Faculty of Engineering and Technology | - |
| crisitem.author.orcid | 0000-0002-2732-4780 | - |
| crisitem.author.parentorg | Faculty of Engineering and Technology | - |
| crisitem.project.grantno | H2020 RIA CULT-COOP-08-2016 | - |
| crisitem.project.fundingProgram | H2020 | - |
| crisitem.project.openAire | info:eu-repo/grantAgreement/EC/H2020/727153 | - |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Amphora Detection.pdf | 3.27 MB | Adobe PDF | View/Open |
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