Artificial intelligence and machine learning algorithms for environmental management strategies
| dc.contributor.advisor | Vidisheva, S. | |
| dc.contributor.advisor | Sitnikova, T. | |
| dc.contributor.author | Kurianovich, N. A. | |
| dc.coverage.spatial | Гомель | ru_RU |
| dc.date.accessioned | 2024-06-03T15:58:37Z | |
| dc.date.available | 2024-06-03T15:58:37Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Kurianovich, N. A. Artificial intelligence and machine learning algorithms for environmental management strategies [Электронный ресурс] / N. A. Kurianovich ; scientific supervisors : S. Vidisheva, T. Sitnikova // E.R.A – Современная наука: электроника, робототехника, автоматизация : материалы I Междунар. науч.-техн. конф, студентов, аспирантов и молодых ученых, Гомель, 29 фев. 2024 г. / Гомел. гос. техн. ун-т им. П. О. Сухого [и др.] ; под общ. ред. А. А. Бойко. – Гомель : ГГТУ им. П. О. Сухого, 2024. – C. 156–157. | ru_RU |
| dc.identifier.uri | https://elib.gstu.by/handle/220612/35721 | |
| dc.description.abstract | In this study report, we shed light on the possibilities of the Artificial Intelligence application in the field of environment and climate change, as well as the help of machine learning algorithms in predicting climate change, determining optimal environmental management strategies and developing new energy-efficient systems. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | ГГТУ им. П.О. Сухого | ru_RU |
| dc.subject | Artificial Intelligence | ru_RU |
| dc.subject | Machine learning | ru_RU |
| dc.subject | ML algorithms | ru_RU |
| dc.subject | Environment | ru_RU |
| dc.title | Artificial intelligence and machine learning algorithms for environmental management strategies | ru_RU |
| dc.type | Article | ru_RU |
