2025-02-21T09:01:57-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-322459%22&qt=morelikethis&rows=5
2025-02-21T09:01:57-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-322459%22&qt=morelikethis&rows=5
2025-02-21T09:01:57-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-21T09:01:57-05:00 DEBUG: Deserialized SOLR response
Короткострокове прогнозування основних показників епідемії в Україні на основі моделі сезонних циклів
The authors of this study propose a method of short-term forecasting of time series of the main indicators of the COVID-19 epidemic, which has a pronounced seasonality. This method, which has no direct analogies, provides the decomposition of a general forecasting task into several simpler tasks, su...
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| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2024
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| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/322459 |
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2025-02-21T09:01:57-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-322459%22&qt=morelikethis
2025-02-21T09:01:57-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-322459%22&qt=morelikethis
2025-02-21T09:01:57-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-21T09:01:57-05:00 DEBUG: Deserialized SOLR response