Computer Science
| creativework.datePublished | 2019 | |
| creativeworkseries.eissn | 2300-7036 | |
| creativeworkseries.issn | 1508-2806 | |
| dc.date.available | 2024-03-05T08:41:26Z | |
| dc.description | Reviewed by: Daniela Zaharie, Marcin Kurdziel, Lukasz Faber, Chris Gniady, Piotr Dziurzanski, Malgorzata Zajecka, Jerzy Pejas, Aleksander Byrski, Benedita Malheiro | |
| dc.identifier.uri | https://repo.agh.edu.pl/handle/AGH/106685 | |
| dc.relation.haspart | Exploring convolutional auto-encoders for representation learning on networks | |
| dc.relation.haspart | Application of modified chebyshev polynomials in asymmetric cryptography | |
| dc.relation.haspart | Adapting text categorization for manifest based android malware detection | |
| dc.relation.haspart | Approach to classifying data with highly localized unmarked features using neural networks | |
| dc.relation.haspart | Evolutionary multi-agent system with crowding factor and mass center mechanisms for multiobjective optimisation | |
| dc.relation.haspart | A routing algorithm and a router architecture for 3D NoC | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.access | otwarty dostęp | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/legalcode | |
| dc.title | Computer Science | pl |
| dc.type | numer czasopisma | |
| dspace.entity.type | JournalIssue | |
| publicationissue.issueNumber | No. 3 | |
| publicationvolume.volumeNumber | Vol. 20 | |
| relation.isJournalVolumeOfIssue | 37516743-d063-4c6e-bb57-9ab0e777bb36 | |
| relation.isJournalVolumeOfIssue.latestForDiscovery | 37516743-d063-4c6e-bb57-9ab0e777bb36 | |
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