2025-02-22T10:30:10-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-181465%22&qt=morelikethis&rows=5
2025-02-22T10:30:10-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-181465%22&qt=morelikethis&rows=5
2025-02-22T10:30:10-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T10:30:10-05:00 DEBUG: Deserialized SOLR response
Прогнозування емісії SO2 вулкана Кілауеа з використанням інтелектуального методу аналізу даних
Kilauea is one of the most active and well-known volcanoes in the world and most of our knowledge of volcanism originates from its research. During a long study of volcanoes, many different methods of forecasting their activity were proposed, from the seismological analysis to the statistical analys...
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| Format: | Article |
| Language: | English |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/181465 |
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