The mean normalized air quality data across multiple stations.
<p>The mean normalized air quality data across multiple stations.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
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| _version_ | 1852017477033132032 |
|---|---|
| author | Lakshmi Sankar (22086589) |
| author2 | Krishnamoorthy Arasu (22086592) |
| author2_role | author |
| author_facet | Lakshmi Sankar (22086589) Krishnamoorthy Arasu (22086592) |
| author_role | author |
| dc.creator.none.fl_str_mv | Lakshmi Sankar (22086589) Krishnamoorthy Arasu (22086592) |
| dc.date.none.fl_str_mv | 2025-08-19T17:35:47Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0330465.g003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/The_mean_normalized_air_quality_data_across_multiple_stations_/29943412 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Evolutionary Biology Ecology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified surpassing conventional methodologies suggested feature extraction simulate temporal interdependence r &# 178 principal component analysis presents significant threats mean squared error mean absolute error innovative predictive framework hybrid aquila optimizer human health owing frequency pattern extraction bidirectional long short average execution time six monitoring sites hourly air quality air quality monitoring stations xlink "> wilcoxon signed term memory swift decline successful mitigation research introduces policy formulation pertinent features particulate matter october 2019 meteorological data mega cities june 2018 industrial emissions heavy traffic enhance multi elevated concentrations efficient prediction efficient multi dimensionality reduction dense populations 57 seconds |
| dc.title.none.fl_str_mv | The mean normalized air quality data across multiple stations. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>The mean normalized air quality data across multiple stations.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_6ca662100a614cbb207079585f82e672 |
| identifier_str_mv | 10.1371/journal.pone.0330465.g003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29943412 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The mean normalized air quality data across multiple stations.Lakshmi Sankar (22086589)Krishnamoorthy Arasu (22086592)MedicineEvolutionary BiologyEcologySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsurpassing conventional methodologiessuggested feature extractionsimulate temporal interdependencer &# 178principal component analysispresents significant threatsmean squared errormean absolute errorinnovative predictive frameworkhybrid aquila optimizerhuman health owingfrequency pattern extractionbidirectional long shortaverage execution timesix monitoring siteshourly air qualityair qualitymonitoring stationsxlink ">wilcoxon signedterm memoryswift declinesuccessful mitigationresearch introducespolicy formulationpertinent featuresparticulate matteroctober 2019meteorological datamega citiesjune 2018industrial emissionsheavy trafficenhance multielevated concentrationsefficient predictionefficient multidimensionality reductiondense populations57 seconds<p>The mean normalized air quality data across multiple stations.</p>2025-08-19T17:35:47ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0330465.g003https://figshare.com/articles/figure/The_mean_normalized_air_quality_data_across_multiple_stations_/29943412CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/299434122025-08-19T17:35:47Z |
| spellingShingle | The mean normalized air quality data across multiple stations. Lakshmi Sankar (22086589) Medicine Evolutionary Biology Ecology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified surpassing conventional methodologies suggested feature extraction simulate temporal interdependence r &# 178 principal component analysis presents significant threats mean squared error mean absolute error innovative predictive framework hybrid aquila optimizer human health owing frequency pattern extraction bidirectional long short average execution time six monitoring sites hourly air quality air quality monitoring stations xlink "> wilcoxon signed term memory swift decline successful mitigation research introduces policy formulation pertinent features particulate matter october 2019 meteorological data mega cities june 2018 industrial emissions heavy traffic enhance multi elevated concentrations efficient prediction efficient multi dimensionality reduction dense populations 57 seconds |
| status_str | publishedVersion |
| title | The mean normalized air quality data across multiple stations. |
| title_full | The mean normalized air quality data across multiple stations. |
| title_fullStr | The mean normalized air quality data across multiple stations. |
| title_full_unstemmed | The mean normalized air quality data across multiple stations. |
| title_short | The mean normalized air quality data across multiple stations. |
| title_sort | The mean normalized air quality data across multiple stations. |
| topic | Medicine Evolutionary Biology Ecology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified surpassing conventional methodologies suggested feature extraction simulate temporal interdependence r &# 178 principal component analysis presents significant threats mean squared error mean absolute error innovative predictive framework hybrid aquila optimizer human health owing frequency pattern extraction bidirectional long short average execution time six monitoring sites hourly air quality air quality monitoring stations xlink "> wilcoxon signed term memory swift decline successful mitigation research introduces policy formulation pertinent features particulate matter october 2019 meteorological data mega cities june 2018 industrial emissions heavy traffic enhance multi elevated concentrations efficient prediction efficient multi dimensionality reduction dense populations 57 seconds |