Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/32983| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Markou, George | - |
| dc.contributor.author | Bakas, Nikolaos P. | - |
| dc.date.accessioned | 2024-10-02T06:57:42Z | - |
| dc.date.available | 2024-10-02T06:57:42Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | Innovate, 2019 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.14279/32983 | - |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Innovate | en_US |
| dc.title | Artificial Intelligence (A.I.) Reinforced Concrete. Algorithms predict concrete strength without training on experimental data | en_US |
| dc.type | Other | en_US |
| dc.collaboration | University of Pretoria | en_US |
| dc.subject.category | Computer and Information Sciences | en_US |
| dc.subject.category | ENGINEERING AND TECHNOLOGY | en_US |
| dc.subject.category | Civil Engineering | en_US |
| dc.country | Greece | en_US |
| dc.country | South Africa | en_US |
| dc.subject.field | Engineering and Technology | en_US |
| cut.common.academicyear | 2019-2020 | en_US |
| item.languageiso639-1 | en | - |
| item.cerifentitytype | Publications | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| item.openairetype | other | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_1843 | - |
| crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
| crisitem.author.faculty | Faculty of Engineering and Technology | - |
| crisitem.author.orcid | 0000-0002-6891-7064 | - |
| crisitem.author.parentorg | Faculty of Engineering and Technology | - |
| Appears in Collections: | Άρθρα/Articles | |
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