{"id":"https://openalex.org/W4285334049","doi":"https://doi.org/10.1109/la-cci48322.2021.9769784","title":"PM2.5 prediction with Recurrent Neural Networks and Data Augmentation","display_name":"PM2.5 prediction with Recurrent Neural Networks and Data Augmentation","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W4285334049","doi":"https://doi.org/10.1109/la-cci48322.2021.9769784"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci48322.2021.9769784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci48322.2021.9769784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5113962738","display_name":"Anibal Flores","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165745","display_name":"Universidad Nacional de Moquegua","ror":"https://ror.org/05v2asf50","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210165745"]}],"countries":["PE"],"is_corresponding":true,"raw_author_name":"Anibal Flores","raw_affiliation_strings":["Universidad Nacional de Moquegua,Artificial Intelligence Research Group,Moquegua,Peru","Artificial Intelligence Research Group, Universidad Nacional de Moquegua, Moquegua, Peru"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Moquegua,Artificial Intelligence Research Group,Moquegua,Peru","institution_ids":["https://openalex.org/I4210165745"]},{"raw_affiliation_string":"Artificial Intelligence Research Group, Universidad Nacional de Moquegua, Moquegua, Peru","institution_ids":["https://openalex.org/I4210165745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092749290","display_name":"Jose Valeriano-Zapana","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165745","display_name":"Universidad Nacional de Moquegua","ror":"https://ror.org/05v2asf50","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210165745"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Jose Valeriano-Zapana","raw_affiliation_strings":["Universidad Nacional de Moquegua,Atmospheric Sciences Research Group,Moquegua,Peru","Atmospheric Sciences Research Group, Universidad Nacional de Moquegua, Moquegua, Peru"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Moquegua,Atmospheric Sciences Research Group,Moquegua,Peru","institution_ids":["https://openalex.org/I4210165745"]},{"raw_affiliation_string":"Atmospheric Sciences Research Group, Universidad Nacional de Moquegua, Moquegua, Peru","institution_ids":["https://openalex.org/I4210165745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044375151","display_name":"V\u00edctor Yana-Mamani","orcid":"https://orcid.org/0000-0003-0982-2353"},"institutions":[{"id":"https://openalex.org/I4210165745","display_name":"Universidad Nacional de Moquegua","ror":"https://ror.org/05v2asf50","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210165745"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Victor Yana-Mamani","raw_affiliation_strings":["Universidad Nacional de Moquegua,School of System Engineering and Informatics,Moquegua,Peru","School of System Engineering and Informatics, Universidad Nacional de Moquegua, Moquegua, Peru"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Moquegua,School of System Engineering and Informatics,Moquegua,Peru","institution_ids":["https://openalex.org/I4210165745"]},{"raw_affiliation_string":"School of System Engineering and Informatics, Universidad Nacional de Moquegua, Moquegua, Peru","institution_ids":["https://openalex.org/I4210165745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087032738","display_name":"Hugo Tito-Chura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165745","display_name":"Universidad Nacional de Moquegua","ror":"https://ror.org/05v2asf50","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210165745"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Hugo Tito-Chura","raw_affiliation_strings":["Universidad Nacional de Moquegua,Artificial Intelligence Research Group,Moquegua,Peru","Artificial Intelligence Research Group, Universidad Nacional de Moquegua, Moquegua, Peru"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Moquegua,Artificial Intelligence Research Group,Moquegua,Peru","institution_ids":["https://openalex.org/I4210165745"]},{"raw_affiliation_string":"Artificial Intelligence Research Group, Universidad Nacional de Moquegua, Moquegua, Peru","institution_ids":["https://openalex.org/I4210165745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113962738"],"corresponding_institution_ids":["https://openalex.org/I4210165745"],"apc_list":null,"apc_paid":null,"fwci":0.0895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43301008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9980999827384949,"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":0.9955999851226807,"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/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7863885164260864},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6582049131393433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397813558578491},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5859843492507935},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5638726353645325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5182763934135437},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.508232831954956},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.5069606304168701},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49221697449684143},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4521985650062561},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3457116186618805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3331075608730316},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31439825892448425}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7863885164260864},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6582049131393433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397813558578491},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5859843492507935},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5638726353645325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5182763934135437},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.508232831954956},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5069606304168701},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49221697449684143},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4521985650062561},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3457116186618805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3331075608730316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31439825892448425},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci48322.2021.9769784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci48322.2021.9769784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2119615570","https://openalex.org/W2148143831","https://openalex.org/W2809183568","https://openalex.org/W2890701797","https://openalex.org/W2894161364","https://openalex.org/W2940272872","https://openalex.org/W2954350473","https://openalex.org/W2954996726","https://openalex.org/W2963873293","https://openalex.org/W2965521597","https://openalex.org/W2972932506","https://openalex.org/W2973189107","https://openalex.org/W3014937650","https://openalex.org/W3021292873","https://openalex.org/W3041954629","https://openalex.org/W3080965317","https://openalex.org/W3088021634","https://openalex.org/W3091985306","https://openalex.org/W3095704617","https://openalex.org/W3112285052","https://openalex.org/W3125999336","https://openalex.org/W3126350090","https://openalex.org/W3132759778","https://openalex.org/W3132863812","https://openalex.org/W3140897233","https://openalex.org/W3152861131","https://openalex.org/W3157952989","https://openalex.org/W3159918272","https://openalex.org/W3179656136","https://openalex.org/W3191026187","https://openalex.org/W6677664287","https://openalex.org/W6754385285","https://openalex.org/W6775541390","https://openalex.org/W6800239483"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W3208495680","https://openalex.org/W4288388567"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"three":[3],"novel":[4],"models":[5,90,147],"based":[6,35],"on":[7,36],"recurrent":[8],"neural":[9],"networks":[10],"(RNN)":[11],"such":[12],"as":[13,91,109,148],"Long":[14],"Short-Term":[15],"Memory":[16],"(LSTM)":[17],"and":[18,80,94,98,112,145,150,154],"Gated":[19],"Recurrent":[20],"Unit":[21],"(GRU)":[22],"for":[23],"PM2.5":[24],"prediction":[25,100],"with":[26,46,70,106],"data":[27,31,107,134],"augmentation":[28,32,108,135],"(DA).":[29],"The":[30,88],"technique":[33],"is":[34,72],"linear":[37,44],"interpolation,":[38],"it":[39],"allows":[40,59,136],"to":[41,60,67,74,126,137],"find":[42],"a":[43,139],"function":[45],"each":[47],"pair":[48],"of":[49,64,84,120],"items":[50,66],"from":[51],"the":[52,62,76,82,85,103,118,121,127,133],"original":[53,77],"time":[54,78],"series.":[55],"A":[56],"space":[57],"parameter":[58],"define":[61],"number":[63],"synthetic":[65],"be":[68],"generated,":[69],"this":[71],"possible":[73],"enlarge":[75],"series":[79],"improve":[81,138],"precision":[83],"regression":[86],"models.":[87,123],"baseline":[89],"GRU,":[92],"LSTM":[93,149],"GRU+LSTM":[95,151],"got":[96,114],"regular":[97,140],"bad":[99,146],"results,":[101],"while":[102],"same":[104],"ones":[105],"DA+GRU,":[110],"DA+LSTM":[111],"DA+GRU+LSTM":[113],"excellent":[115],"predictions":[116],"showing":[117],"superiority":[119],"proposals":[122],"Likewise,":[124],"according":[125],"Mean":[128],"Absolute":[129],"Percentage":[130],"Error":[131],"(MAPE),":[132],"GRU":[141],"model":[142],"by":[143,152],"18.6288%":[144],"21.7683%":[153],"31.0092%":[155],"respectively.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}