| dc.contributor.author | Burmakova, Anastasiya | |
| dc.contributor.author | Kalibatienė, Diana | |
| dc.date.accessioned | 2023-09-18T16:27:16Z | |
| dc.date.available | 2023-09-18T16:27:16Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/114114 | |
| dc.format | PDF | |
| dc.format.extent | p. 9 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.ispartofseries | Vilnius university proceedings 2669-0233 | |
| dc.relation.isreferencedby | Dimensions | |
| dc.relation.isreferencedby | Scilit | |
| dc.source.uri | https://www.journals.vu.lt/proceedings/article/view/25028/24294 | |
| dc.title | Machine learning vs. fuzzy inference methods for predicting the oil spill consequences with small data sets | |
| dc.type | Konferencijos pranešimo santrauka tarptautinėse DB / Conference presentation abstract in an international DB | |
| dcterms.accessRights | This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
| dcterms.license | Creative Commons – Attribution – 4.0 International | |
| dcterms.references | 0 | |
| dc.type.pubtype | T1 - Konferencijos pranešimo tezės tarptautinėse DB / Conference presentation abstract in an international DB | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.vgtuprioritizedfields | IK0101 - Informacijos ir informacinių technologijų sauga / Information and Information Technologies Security | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | machine learning | |
| dc.subject.en | fuzzy inference | |
| dc.subject.en | ANFIS | |
| dc.subject.en | oil spill | |
| dc.subject.en | ground environment model | |
| dc.subject.en | prediction model | |
| dcterms.sourcetitle | DAMSS 2021: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021 | |
| dc.publisher.name | Vilnius University Press | |
| dc.publisher.city | Vilnius | |
| dc.identifier.doi | 1 | |
| dc.identifier.doi | 10.15388/DAMSS.12.2021 | |
| dc.identifier.elaba | 151080655 | |
