Fuel consumption through the lens of machine learning
| dc.contributor.advisor | Cunha, Bruno | |
| dc.contributor.author | Pinto, Tiago | |
| dc.date.accessioned | 2025-12-22T16:04:02Z | |
| dc.date.available | 2025-12-22T16:04:02Z | |
| dc.date.issued | 2025-12-16 | |
| dc.date.submitted | 2025-12-22 | |
| dc.description.abstract | Predicting fuel consumption accurately in the real world is crucial for both individual consumers, fleet directors, and policy makers to reduce costs and environmental impact. [...] | |
| dc.identifier.citation | Pinto, T. (2025). Fuel consumption through the lens of machine learning [Dissertação de Mestrado em Ciência de Dados, Universidade Portucalense]. Repositório Institucional UPT. https://hdl.handle.net/11328/6860 | |
| dc.identifier.uri | https://hdl.handle.net/11328/6860 | |
| dc.language.iso | eng | |
| dc.rights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Machine learning | |
| dc.subject | fuel consumption | |
| dc.subject | XGBoost | |
| dc.subject | random forest | |
| dc.subject | neural network | |
| dc.subject | artificial intelligence | |
| dc.subject | deep neural networks | |
| dc.subject | ensemble models | |
| dc.subject.fos | Ciências Naturais - Ciências da Computação e da Informação | |
| dc.title | Fuel consumption through the lens of machine learning | |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| person.affiliation.name | CINTESIS.UPT, Universidade portucalense (integrado) | |
| person.familyName | Cunha | |
| person.givenName | Bruno | |
| person.identifier.ciencia-id | 581D-067C-6E6C | |
| person.identifier.orcid | 0000-0002-8661-3080 | |
| person.identifier.rid | T-8432-2019 | |
| person.identifier.scopus-author-id | 56404142800 | |
| relation.isAdvisorOfPublication | ca8d548c-7c8f-4bc1-8b80-285c73da8a95 | |
| relation.isAdvisorOfPublication.latestForDiscovery | ca8d548c-7c8f-4bc1-8b80-285c73da8a95 | |
| thesis.degree.name | Mestrado em Ciência de Dados |