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
Date:2023
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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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
id open-sciencenbuvgovua-110558
record_format dspace
spelling open-sciencenbuvgovua-1105582024-09-16T15:20:54Z A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks N. Marrakchi A. Bergam H. Fakhouri K. Kenza 2312-9794 2023 en Mathematical Modeling and Computing http://jnas.nbuv.gov.ua/article/UJRN-0001463881 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series Mathematical Modeling and Computing
spellingShingle Mathematical Modeling and Computing
N. Marrakchi
A. Bergam
H. Fakhouri
K. Kenza
A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks
format Article
author N. Marrakchi
A. Bergam
H. Fakhouri
K. Kenza
author_facet N. Marrakchi
A. Bergam
H. Fakhouri
K. Kenza
author_sort N. Marrakchi
title A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks
title_short A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks
title_full A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks
title_fullStr A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks
title_full_unstemmed A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks
title_sort hybrid model for predicting air quality combining holt–winters and deep learning approaches: a novel method to identify ozone concentration peaks
publishDate 2023
url http://jnas.nbuv.gov.ua/article/UJRN-0001463881
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AT abergam ahybridmodelforpredictingairqualitycombiningholtwintersanddeeplearningapproachesanovelmethodtoidentifyozoneconcentrationpeaks
AT hfakhouri ahybridmodelforpredictingairqualitycombiningholtwintersanddeeplearningapproachesanovelmethodtoidentifyozoneconcentrationpeaks
AT kkenza ahybridmodelforpredictingairqualitycombiningholtwintersanddeeplearningapproachesanovelmethodtoidentifyozoneconcentrationpeaks
AT nmarrakchi hybridmodelforpredictingairqualitycombiningholtwintersanddeeplearningapproachesanovelmethodtoidentifyozoneconcentrationpeaks
AT abergam hybridmodelforpredictingairqualitycombiningholtwintersanddeeplearningapproachesanovelmethodtoidentifyozoneconcentrationpeaks
AT hfakhouri hybridmodelforpredictingairqualitycombiningholtwintersanddeeplearningapproachesanovelmethodtoidentifyozoneconcentrationpeaks
AT kkenza hybridmodelforpredictingairqualitycombiningholtwintersanddeeplearningapproachesanovelmethodtoidentifyozoneconcentrationpeaks
first_indexed 2025-07-22T18:21:23Z
last_indexed 2025-07-22T18:21:23Z
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