{"id":"https://openalex.org/W2980260699","doi":"https://doi.org/10.1016/j.asoc.2019.105827","title":"A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction","display_name":"A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction","publication_year":2019,"publication_date":"2019-10-09","ids":{"openalex":"https://openalex.org/W2980260699","doi":"https://doi.org/10.1016/j.asoc.2019.105827","mag":"2980260699"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.asoc.2019.105827","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5100767955","display_name":"Feng Jiang","orcid":"https://orcid.org/0000-0003-0927-6866"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Jiang","raw_affiliation_strings":["School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, 430073, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, 430073, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085139952","display_name":"Jiaqi He","orcid":"https://orcid.org/0000-0002-7859-7578"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi He","raw_affiliation_strings":["School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, 430073, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, 430073, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039097797","display_name":"Tianhai Tian","orcid":"https://orcid.org/0000-0001-6191-0209"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tianhai Tian","raw_affiliation_strings":["School of Mathematical Science, Monash University, Melbourne Clayton 3800, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Science, Monash University, Melbourne Clayton 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100767955"],"corresponding_institution_ids":["https://openalex.org/I158934434"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350,"provenance":"doaj"},"apc_paid":null,"fwci":3.118,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.753471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"85","issue":null,"first_page":"105827","last_page":"105827"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9999,"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":0.9999,"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":0.9955,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9882,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme Learning Machine","score":0.8046881},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5511484},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.50325984},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble Learning","score":0.44508386}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.8046881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731289},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6560631},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6305105},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5511484},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.50325984},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.44508386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4191466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36882788},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34279734},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19313091},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.asoc.2019.105827","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.84}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"11601524"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61773401"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"11571368"},{"funder":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council","award_id":"FT100100748"}],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W1527454224","https://openalex.org/W1966279059","https://openalex.org/W1990695497","https://openalex.org/W1998716437","https://openalex.org/W2002674327","https://openalex.org/W2013526194","https://openalex.org/W2037780786","https://openalex.org/W2039930961","https://openalex.org/W2042846041","https://openalex.org/W2071480819","https://openalex.org/W2087361228","https://openalex.org/W2111072639","https://openalex.org/W2122032069","https://openalex.org/W2185111176","https://openalex.org/W2279652244","https://openalex.org/W2475861752","https://openalex.org/W2528430964","https://openalex.org/W2566512888","https://openalex.org/W2590142046","https://openalex.org/W2606879267","https://openalex.org/W2609447931","https://openalex.org/W2732796807","https://openalex.org/W2755418557","https://openalex.org/W2764126455","https://openalex.org/W2782362543","https://openalex.org/W2791043861","https://openalex.org/W2792042825","https://openalex.org/W2795125903","https://openalex.org/W2795446604","https://openalex.org/W2796479994","https://openalex.org/W2802544663","https://openalex.org/W2809027603","https://openalex.org/W2810021335","https://openalex.org/W2812669263","https://openalex.org/W2890969757","https://openalex.org/W2894434542","https://openalex.org/W2905610885","https://openalex.org/W2947558939","https://openalex.org/W3022413497","https://openalex.org/W3121429101","https://openalex.org/W3125696988","https://openalex.org/W4292671038"],"related_works":["https://openalex.org/W4297902562","https://openalex.org/W31566076","https://openalex.org/W2968645206","https://openalex.org/W2804652951","https://openalex.org/W2743832667","https://openalex.org/W2741186499","https://openalex.org/W2556335056","https://openalex.org/W2378211422","https://openalex.org/W2067443264","https://openalex.org/W2002678693"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2980260699","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":5}],"updated_date":"2024-12-30T09:11:09.270591","created_date":"2019-10-18"}