{"id":"https://openalex.org/W4391093141","doi":"https://doi.org/10.1109/bigdata59044.2023.10386580","title":"Explainable Long-Term Forecasting of Air Pollution","display_name":"Explainable Long-Term Forecasting of Air Pollution","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391093141","doi":"https://doi.org/10.1109/bigdata59044.2023.10386580"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386580","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-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/A5038232955","display_name":"Abdul Mutakabbir","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdul Mutakabbir","raw_affiliation_strings":["Carleton University,Dept. of Systems and Computer Engineering,Ottawa,ON,Canada","Dept. of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University,Dept. of Systems and Computer Engineering,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Dept. of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004784914","display_name":"Samuel A. Ajila","orcid":"https://orcid.org/0000-0001-8824-1922"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samuel A. Ajila","raw_affiliation_strings":["Carleton University,Dept. of Systems and Computer Engineering,Ottawa,ON,Canada","Dept. of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University,Dept. of Systems and Computer Engineering,Ottawa,ON,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Dept. of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1128,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45883461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3794","last_page":"3802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9979000091552734,"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":0.9979000091552734,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9463000297546387,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.7730820178985596},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.7288612127304077},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7275773286819458},{"id":"https://openalex.org/keywords/pollution","display_name":"Pollution","score":0.6996503472328186},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.6548240184783936},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.539645254611969},{"id":"https://openalex.org/keywords/pollutant","display_name":"Pollutant","score":0.49017009139060974},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.47690320014953613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46696001291275024},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41471758484840393},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2222672700881958},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19016501307487488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15714064240455627}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.7730820178985596},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.7288612127304077},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7275773286819458},{"id":"https://openalex.org/C521259446","wikidata":"https://www.wikidata.org/wiki/Q58734","display_name":"Pollution","level":2,"score":0.6996503472328186},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.6548240184783936},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.539645254611969},{"id":"https://openalex.org/C82685317","wikidata":"https://www.wikidata.org/wiki/Q19829510","display_name":"Pollutant","level":2,"score":0.49017009139060974},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47690320014953613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46696001291275024},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41471758484840393},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2222672700881958},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19016501307487488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15714064240455627},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386580","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2174574259","https://openalex.org/W2503629267","https://openalex.org/W2754880706","https://openalex.org/W2807763066","https://openalex.org/W2990955039","https://openalex.org/W3015220452","https://openalex.org/W3016445506","https://openalex.org/W4205572831","https://openalex.org/W4206958537","https://openalex.org/W4210551050","https://openalex.org/W4212883601","https://openalex.org/W4220739262","https://openalex.org/W4224290968","https://openalex.org/W4240294902","https://openalex.org/W4286849979","https://openalex.org/W4292838669","https://openalex.org/W4294975683","https://openalex.org/W4312696562","https://openalex.org/W4313289621","https://openalex.org/W4313646451","https://openalex.org/W4367276791","https://openalex.org/W4376274750","https://openalex.org/W7037462566"],"related_works":["https://openalex.org/W2108274885","https://openalex.org/W3123974110","https://openalex.org/W2169359190","https://openalex.org/W2991488401","https://openalex.org/W1603912562","https://openalex.org/W3080344894","https://openalex.org/W4318499393","https://openalex.org/W2082703639","https://openalex.org/W2066546759","https://openalex.org/W2733363865"],"abstract_inverted_index":{"Long-term":[0],"air":[1,34,79,147],"pollution":[2,19,35,80,115],"forecasting":[3,32,143],"is":[4],"essential":[5],"for":[6,68,77,102,113,144],"making":[7],"public":[8],"policies":[9],"and":[10,23,43,99,150],"issuing":[11],"warnings.":[12],"This":[13,26,134],"will":[14],"reduce":[15],"the":[16,21,53,86,97,108,127,130,139,145],"impact":[17],"of":[18,33,129],"on":[20,29,89],"environment":[22],"human":[24],"health.":[25],"research":[27,60,88],"focuses":[28],"achieving":[30],"long-term":[31,142],"attributes":[36,81],"$(PM":[37],"2.5,":[38],"PM_{10},":[39],"SO_{2}$,":[40],"$NO_{2},":[41],"CO$,":[42],"$O_{3})$":[44],"by":[45],"providing":[46],"minimal":[47],"historical":[48],"data":[49],"as":[50],"input":[51],"to":[52,71,85,95,119,123,153],"model.":[54],"The":[55,110],"best-performing":[56],"models":[57],"in":[58,66,75,126],"this":[59],"produced":[61],"between":[62],"a":[63,72],"1%":[64],"increase":[65],"RMSE":[67,76],"certain":[69],"pollutants":[70],"50%":[73],"decrease":[74],"other":[78],"(except":[82],"$CO)$":[83],"compared":[84,122],"initial":[87],"compositional":[90,131],"learning,":[91],"while":[92],"being":[93],"able":[94],"forecast":[96],"trend":[98],"seasonality":[100],"accurately":[101],"more":[103],"than":[104],"one":[105],"year":[106],"into":[107,138],"future.":[109],"training":[111],"time":[112],"each":[114],"attribute":[116],"model":[117],"dropped":[118],"4":[120],"seconds":[121,125],"1800":[124],"case":[128],"learning":[132],"method.":[133],"paper":[135],"also":[136],"delves":[137],"challenges":[140],"with":[141],"Beijing":[146],"quality":[148],"dataset":[149],"discusses":[151],"approaches":[152],"overcome":[154],"these":[155],"challenges.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}
