2025-02-23T09:13:11-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-110558%22&qt=morelikethis&rows=5
2025-02-23T09:13:11-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-110558%22&qt=morelikethis&rows=5
2025-02-23T09:13:11-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T09:13:11-05:00 DEBUG: Deserialized SOLR response
A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks

A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks

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Bibliographic Details
Main Authors: N. Marrakchi, A. Bergam, H. Fakhouri, K. Kenza
Format: Article
Language:English
Published: 2023
Series:Mathematical Modeling and Computing
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0001463881
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2025-02-23T09:13:11-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22open-sciencenbuvgovua-110558%22&qt=morelikethis
2025-02-23T09:13:11-05:00 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%22open-sciencenbuvgovua-110558%22&qt=morelikethis
2025-02-23T09:13:11-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T09:13:11-05:00 DEBUG: Deserialized SOLR response

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