{"id":"https://openalex.org/W7140097252","doi":"https://doi.org/10.1016/j.neucom.2026.133436","title":"Double-task physics-informed neural network for the prediction of PM2.5 concentration","display_name":"Double-task physics-informed neural network for the prediction of PM2.5 concentration","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W7140097252","doi":"https://doi.org/10.1016/j.neucom.2026.133436"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2026.133436","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133436","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.neucom.2026.133436","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003750861","display_name":"Matthieu Dabrowski","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]},{"id":"https://openalex.org/I4210115519","display_name":"Centre de Recherche en Informatique","ror":"https://ror.org/020cdve92","country_code":"FR","type":"facility","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210115519","https://openalex.org/I70768539"]},{"id":"https://openalex.org/I4387153239","display_name":"Centre de Recherche en Informatique, Signal et Automatique de Lille","ror":"https://ror.org/05vrs3189","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2279609970","https://openalex.org/I4387153239","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I7454413","display_name":"\u00c9cole Centrale de Lille","ror":"https://ror.org/01x441g73","country_code":"FR","type":"education","lineage":["https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Matthieu Dabrowski","raw_affiliation_strings":["Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France"],"raw_orcid":"https://orcid.org/0009-0005-2391-3675","affiliations":[{"raw_affiliation_string":"Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I7454413","https://openalex.org/I2279609970","https://openalex.org/I4387153239","https://openalex.org/I4210115519"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031904645","display_name":"Jos\u00e9 Mennesson","orcid":"https://orcid.org/0000-0002-6233-4917"},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Mennesson","raw_affiliation_strings":["IMT Nord Europe, Institut Mines-Telecom, Univ. Lille, Centre for Digital Systems, F-59000 Lille, France"],"raw_orcid":"https://orcid.org/0000-0002-6233-4917","affiliations":[{"raw_affiliation_string":"IMT Nord Europe, Institut Mines-Telecom, Univ. Lille, Centre for Digital Systems, F-59000 Lille, France","institution_ids":["https://openalex.org/I2279609970","https://openalex.org/I205703379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053786098","display_name":"J. Ri\u00e9di","orcid":"https://orcid.org/0000-0002-0374-7316"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210123210","display_name":"Laboratoire d'Optique Atmosph\u00e9rique","ror":"https://ror.org/02mdnkg28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I2799535048","https://openalex.org/I4210123210","https://openalex.org/I4210148025"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J\u00e9r\u00f4me Riedi","raw_affiliation_strings":["University of Lille, CNRS, UMR 8518 - LOA - Laboratoire d\u2019Optique Atmospherique, F-59000 Lille, France"],"raw_orcid":"https://orcid.org/0000-0002-0374-7316","affiliations":[{"raw_affiliation_string":"University of Lille, CNRS, UMR 8518 - LOA - Laboratoire d\u2019Optique Atmospherique, F-59000 Lille, France","institution_ids":["https://openalex.org/I4210123210","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130392397","display_name":"Chaabane Djeraba","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]},{"id":"https://openalex.org/I4210115519","display_name":"Centre de Recherche en Informatique","ror":"https://ror.org/020cdve92","country_code":"FR","type":"facility","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210115519","https://openalex.org/I70768539"]},{"id":"https://openalex.org/I4387153239","display_name":"Centre de Recherche en Informatique, Signal et Automatique de Lille","ror":"https://ror.org/05vrs3189","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2279609970","https://openalex.org/I4387153239","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I7454413","display_name":"\u00c9cole Centrale de Lille","ror":"https://ror.org/01x441g73","country_code":"FR","type":"education","lineage":["https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chaabane Djeraba","raw_affiliation_strings":["Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France"],"raw_orcid":"https://orcid.org/0000-0003-4579-9592","affiliations":[{"raw_affiliation_string":"Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I7454413","https://openalex.org/I2279609970","https://openalex.org/I4387153239","https://openalex.org/I4210115519"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003750861"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I4210115519","https://openalex.org/I4387153239","https://openalex.org/I7454413"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":{"value":2470,"currency":"USD","value_usd":2470},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65757235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"682","issue":null,"first_page":"133436","last_page":"133436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.8482000231742859,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.8482000231742859,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.039799999445676804,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.014999999664723873,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7721999883651733},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5976999998092651},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5005000233650208},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4900999963283539},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.48539999127388},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.47530001401901245},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4253000020980835}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7721999883651733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848000288009644},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5976999998092651},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5005000233650208},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4900999963283539},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4359999895095825},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4244999885559082},{"id":"https://openalex.org/C24245907","wikidata":"https://www.wikidata.org/wiki/Q498957","display_name":"Particulates","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34549999237060547},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2558000087738037},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.neucom.2026.133436","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133436","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05563223v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05563223","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neurocomputing, 2026, pp.133436. ⟨10.1016/j.neucom.2026.133436⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"doi:10.1016/j.neucom.2026.133436","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133436","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320324737","display_name":"Universit\u00e9 Lille 1 - Sciences et Technologies","ror":"https://ror.org/040hwdc70"},{"id":"https://openalex.org/F4320326227","display_name":"R\u00e9gion Hauts-de-France","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1568243461","https://openalex.org/W2007339694","https://openalex.org/W2024697317","https://openalex.org/W2123638726","https://openalex.org/W2141983208","https://openalex.org/W2152657820","https://openalex.org/W2607350314","https://openalex.org/W2796358601","https://openalex.org/W2899283552","https://openalex.org/W2900933286","https://openalex.org/W2913340405","https://openalex.org/W2948230027","https://openalex.org/W2984353870","https://openalex.org/W3004450693","https://openalex.org/W3011193154","https://openalex.org/W3096831136","https://openalex.org/W3163076975","https://openalex.org/W3189884602","https://openalex.org/W3203608287","https://openalex.org/W4200507337","https://openalex.org/W4229067108","https://openalex.org/W4385223757","https://openalex.org/W4385796235","https://openalex.org/W4406320973"],"related_works":[],"abstract_inverted_index":{"Predicting":[0],"values":[1,130],"of":[2,59,93,104,134,148,154,161,167,202],"Particulate":[3,127],"Matter":[4,128],"concentration":[5,129],"presents":[6],"an":[7,56],"undeniable":[8],"interest,":[9],"as":[10,38,70,139,141,158,180],"it":[11],"is":[12,78,175],"key":[13],"in":[14,177],"preventing":[15],"their":[16],"adversarial":[17],"impact":[18,147],"on":[19,25,42,51,151],"human":[20],"health.":[21],"Physics-based":[22],"methods":[23],"rely":[24,50],"several":[26],"different":[27,149],"variables":[28,138],"and":[29,46,55,73,85,100,115,136,170],"equations":[30],"to":[31,191,207],"perform":[32],"this":[33,155,178],"task.":[34],"They":[35,61],"are":[36,40,62],"reliable,":[37],"they":[39],"based":[41],"known":[43],"physical":[44],"laws":[45],"models.":[47],"Neural":[48,89],"networks":[49],"high":[52,102],"computing":[53,98],"power":[54,99],"important":[57],"volume":[58,103],"data.":[60],"faster":[63,116],"than":[64,111,117],"physics-based":[65,118],"models,":[66],"but":[67],"sometimes":[68],"considered":[69],"black":[71],"boxes":[72],"potentially":[74],"less":[75],"reliable.":[76],"There":[77],"therefore":[79],"a":[80,83,101,123,132,142,200],"need":[81],"for":[82],"fast":[84],"reliable":[86,110],"solution.":[87],"Physics-Informed":[88],"Networks":[90],"make":[91],"use":[92,166],"all":[94],"four":[95],"(variables,":[96],"equations,":[97],"data),":[105],"which":[106],"makes":[107],"them":[108],"more":[109],"classical":[112],"neural":[113],"networks,":[114],"methods.":[119],"This":[120],"paper":[121,179],"proposes":[122],"model":[124,183,198],"that":[125],"predicts":[126],"using":[131],"variety":[133],"meteorological":[135],"optical":[137],"well":[140],"Physics-Inspired":[143],"loss":[144],"function.":[145],"The":[146,182],"factors":[150],"the":[152,159,165,171,192,203],"performance":[153],"model,":[156],"such":[157],"amount":[160],"available":[162],"ground":[163],"truth,":[164],"Boundary":[168],"Conditions,":[169],"prediction":[172],"time":[173],"frame,":[174],"discussed":[176],"well.":[181],"shows":[184,199],"satisfying":[185],"performance.":[186],"More":[187],"precisely,":[188],"when":[189],"compared":[190],"best":[193],"baseline":[194],"method":[195],"presented,":[196],"our":[197],"diminution":[201],"MAE":[204],"from":[205],"3.74":[206],"2.71":[208],".":[209]},"counts_by_year":[],"updated_date":"2026-03-28T06:11:35.319607","created_date":"2026-03-24T00:00:00"}