{"id":"https://openalex.org/W4391547772","doi":"https://doi.org/10.1109/tce.2024.3354073","title":"Short-Term PM2.5 Prediction Based on Multi-Modal Meteorological Data for Consumer-Grade Meteorological Electronic Systems","display_name":"Short-Term PM2.5 Prediction Based on Multi-Modal Meteorological Data for Consumer-Grade Meteorological Electronic Systems","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4391547772","doi":"https://doi.org/10.1109/tce.2024.3354073"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2024.3354073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3354073","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100385963","display_name":"Lina Wang","orcid":"https://orcid.org/0009-0007-7956-7788"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Wang","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A &#x0026; F University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-7956-7788","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A &#x0026; F University, Hangzhou, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073364530","display_name":"Xiaochen Jin","orcid":"https://orcid.org/0009-0005-8391-0898"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochen Jin","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A &#x0026; F University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-8391-0898","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A &#x0026; F University, Hangzhou, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109680542","display_name":"Zengyang Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zengyang Huang","raw_affiliation_strings":["Quzhou Academy of Metrology and Quality Inspection, Quzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quzhou Academy of Metrology and Quality Inspection, Quzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065864854","display_name":"Han Zhu","orcid":"https://orcid.org/0000-0003-2035-0297"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Han Zhu","raw_affiliation_strings":["Faculty of Applied Sciences, Macao Polytechnic University, Macau, SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-2035-0297","affiliations":[{"raw_affiliation_string":"Faculty of Applied Sciences, Macao Polytechnic University, Macau, SAR, China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101334379","display_name":"Zheyi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheyi Chen","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A &#x0026; F University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A &#x0026; F University, Hangzhou, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728987","display_name":"Yimin Liu","orcid":"https://orcid.org/0000-0002-5050-1642"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Liu","raw_affiliation_strings":["School of Mechanical Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034832697","display_name":"Hailin Feng","orcid":"https://orcid.org/0000-0003-2734-480X"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailin Feng","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A &#x0026; F University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2734-480X","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A &#x0026; F University, Hangzhou, China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8121,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82565053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"70","issue":"1","first_page":"3464","last_page":"3474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":1.0,"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":1.0,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T12095","display_name":"Vehicle emissions and performance","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6910194158554077},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.6297056674957275},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5751050114631653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5622704029083252},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4747139513492584},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.47255322337150574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45159173011779785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4505945146083832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4456065893173218},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4450395703315735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44015011191368103},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43101319670677185},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.42759209871292114},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4184982478618622},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.22426843643188477},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19769635796546936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18573808670043945}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6910194158554077},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.6297056674957275},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5751050114631653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5622704029083252},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4747139513492584},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.47255322337150574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45159173011779785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4505945146083832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4456065893173218},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4450395703315735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44015011191368103},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43101319670677185},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.42759209871292114},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4184982478618622},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.22426843643188477},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19769635796546936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18573808670043945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2024.3354073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3354073","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2000982976","https://openalex.org/W2064675550","https://openalex.org/W2272706126","https://openalex.org/W2545211134","https://openalex.org/W2801996267","https://openalex.org/W2807695771","https://openalex.org/W2891750563","https://openalex.org/W2907184742","https://openalex.org/W2921259096","https://openalex.org/W2943903955","https://openalex.org/W2947317462","https://openalex.org/W2976067418","https://openalex.org/W2982156305","https://openalex.org/W2984594917","https://openalex.org/W3015407791","https://openalex.org/W3034264063","https://openalex.org/W3082711506","https://openalex.org/W3094267028","https://openalex.org/W3117940150","https://openalex.org/W3137682683","https://openalex.org/W3161071448","https://openalex.org/W3162980338","https://openalex.org/W3170049569","https://openalex.org/W3193930321","https://openalex.org/W3214865316","https://openalex.org/W4200189125","https://openalex.org/W4205504823","https://openalex.org/W4212774566","https://openalex.org/W4212966117","https://openalex.org/W4213288986","https://openalex.org/W4220686278","https://openalex.org/W4221041103","https://openalex.org/W4224451672","https://openalex.org/W4225606092","https://openalex.org/W4283454001","https://openalex.org/W4283589953","https://openalex.org/W4289821652","https://openalex.org/W4313306374","https://openalex.org/W4313307863","https://openalex.org/W4377221260","https://openalex.org/W4382343679"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W4385074335","https://openalex.org/W2626189183","https://openalex.org/W2626268514","https://openalex.org/W324331621","https://openalex.org/W4226285110","https://openalex.org/W2765248831","https://openalex.org/W3175678658","https://openalex.org/W4401154840"],"abstract_inverted_index":{"Air":[0],"pollution":[1],"poses":[2],"a":[3,26],"significant":[4],"challenge":[5],"to":[6,59,130],"social":[7,153,168],"sustainability,":[8],"and":[9,55,87,118,152,165],"accurately":[10],"predicting":[11],"PM2.5":[12,29,69,156],"concentrations":[13],"is":[14,79,99],"vital":[15],"for":[16,67,81],"effective":[17],"air":[18,64,105],"quality":[19,65,106],"management.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"introduce":[25],"consumer-grade":[27],"smart":[28],"prediction":[30,127],"system":[31,40],"utilizing":[32],"IoT":[33],"communication":[34],"among":[35],"electronic":[36,162],"consumer":[37,163],"products.":[38],"The":[39,72,92,143],"incorporates":[41],"our":[42,95],"innovative":[43],"deep":[44,150],"learning":[45,151],"model":[46,78,98],"(WVPBL),":[47],"which":[48],"integrates":[49],"wavelet":[50],"denoising,":[51],"variational":[52],"mode":[53],"decomposition,":[54],"principal":[56],"component":[57],"analysis":[58],"extract":[60],"features":[61],"from":[62],"multi-modal":[63],"data":[66],"short-term":[68],"concentration":[70],"prediction.":[71],"bidirectional":[73],"long-short":[74],"memory":[75],"network":[76],"(BiLSTM)":[77],"employed":[80],"accurate":[82],"prediction,":[83,157],"considering":[84],"the":[85,134,146,159],"nonlinear":[86],"dynamic":[88],"characteristics":[89],"of":[90,94,104,120,148,161],"PM2.5.":[91],"performance":[93,128],"WVPBL":[96],"fusion":[97],"assessed":[100],"using":[101],"ten":[102],"sets":[103],"data,":[107],"evaluating":[108],"mean":[109,114],"absolute":[110],"error":[111,116],"(MAE),":[112],"root":[113],"square":[115],"(RMSE),":[117],"coefficient":[119],"determination":[121],"(R2).":[122],"Experimental":[123],"results":[124],"demonstrate":[125],"superior":[126],"compared":[129],"other":[131],"models,":[132],"with":[133],"highest":[135],"RMSE":[136],"at":[137],"1.8247.":[138],"R2":[139],"remains":[140],"consistently":[141],"high.":[142],"findings":[144],"emphasize":[145],"importance":[147],"integrating":[149],"computing":[154],"in":[155],"enhancing":[158],"functionality":[160],"products,":[164],"fostering":[166],"sustainable":[167],"development.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
