{"id":"https://openalex.org/W4410812636","doi":"https://doi.org/10.1145/3728199.3728235","title":"Predictive Analysis of PM2.5 Concentration in Taiyuan City Based on Deep Learning","display_name":"Predictive Analysis of PM2.5 Concentration in Taiyuan City Based on Deep Learning","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4410812636","doi":"https://doi.org/10.1145/3728199.3728235"},"language":"en","primary_location":{"id":"doi:10.1145/3728199.3728235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728199.3728235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728199.3728235","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3728199.3728235","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101055374","display_name":"Baochun Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boxuan Ma","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, North University of China, Taiyuan, Shanxi, China"],"raw_orcid":"https://orcid.org/0009-0004-2221-2845","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, North University of China, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Changsheng Li","orcid":"https://orcid.org/0009-0008-5720-7279"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Li","raw_affiliation_strings":["School of Technology, Northeast Agricultural University, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0009-0008-5720-7279","affiliations":[{"raw_affiliation_string":"School of Technology, Northeast Agricultural University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenxuan Zhang","orcid":"https://orcid.org/0009-0004-8562-5540"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Zhang","raw_affiliation_strings":["School of Materials Science and Engineering, Wuhan University of Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0004-8562-5540","affiliations":[{"raw_affiliation_string":"School of Materials Science and Engineering, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yichi Zhang","orcid":"https://orcid.org/0009-0006-7183-7774"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichi Zhang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, North University of China, Taiyuan, Shanxi, China"],"raw_orcid":"https://orcid.org/0009-0006-7183-7774","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, North University of China, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9973999857902527,"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":0.9973999857902527,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9110999703407288,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5194306373596191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44919654726982117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39569345116615295},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.35470524430274963}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5194306373596191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44919654726982117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39569345116615295},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35470524430274963}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3728199.3728235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728199.3728235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728199.3728235","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3728199.3728235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728199.3728235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728199.3728235","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5699999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410812636.pdf","grobid_xml":"https://content.openalex.org/works/W4410812636.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W3215029921","https://openalex.org/W4319430764","https://openalex.org/W4323520201","https://openalex.org/W4389544990","https://openalex.org/W4399666141"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"With":[0],"the":[1,7,24,61,89,93,115,122,136,140],"continuous":[2],"development":[3],"of":[4,23,26,31,35,68,78,92,127,139],"China's":[5],"economy,":[6],"air":[8,27,65],"pollution":[9],"problem":[10],"has":[11,18],"become":[12,19],"increasingly":[13],"serious,":[14],"and":[15,41,54,64,86,98,108,130,147],"PM2.5":[16,32,79],"concentration":[17,33],"an":[20],"important":[21],"indicator":[22],"degree":[25],"pollution.":[28],"Accurate":[29],"prediction":[30,76,90,128,137],"is":[34,118],"great":[36],"significance":[37],"for":[38],"public":[39],"health":[40],"ecological":[42],"environment":[43],"protection.":[44],"In":[45],"this":[46],"paper,":[47],"based":[48],"on":[49],"deep":[50],"learning":[51],"technology,":[52],"LSTM":[53,123],"GRU":[55,116],"models":[56,95,142],"were":[57,96],"selected":[58],"to":[59,73,132],"combine":[60],"meteorological":[62],"data":[63,67,82],"quality":[66],"Taiyuan":[69],"City":[70],"in":[71,125,155],"2023":[72],"conduct":[74],"a":[75],"study":[77],"concentration.":[80],"Through":[81],"preprocessing,":[83],"feature":[84,150],"selection":[85],"model":[87,117,124],"construction,":[88],"results":[91,112,138],"two":[94,141],"compared":[97],"analysed":[99],"using":[100],"assessment":[101],"indicators":[102],"such":[103],"as":[104],"MAE,":[105],"RMSE,":[106],"MBE":[107],"R\u00b2.":[109],"The":[110],"experimental":[111],"show":[113],"that":[114],"slightly":[119],"better":[120],"than":[121],"terms":[126],"accuracy":[129],"response":[131],"short-term":[133],"variations,":[134],"but":[135],"still":[143],"have":[144],"some":[145],"errors,":[146],"more":[148],"comprehensive":[149],"variables":[151],"should":[152],"be":[153],"considered":[154],"future":[156],"related":[157],"studies.":[158]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}