{"id":"https://openalex.org/W4379932916","doi":"https://doi.org/10.1145/3590837.3590888","title":"Unraveling the Prediction of Fine Particulate Matter over Jaipur, India using Long Short-Term Memory Neural Network","display_name":"Unraveling the Prediction of Fine Particulate Matter over Jaipur, India using Long Short-Term Memory Neural Network","publication_year":2022,"publication_date":"2022-12-23","ids":{"openalex":"https://openalex.org/W4379932916","doi":"https://doi.org/10.1145/3590837.3590888"},"language":"en","primary_location":{"id":"doi:10.1145/3590837.3590888","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3590837.3590888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Information Management &amp; Machine Intelligence","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/A5060419096","display_name":"Uday Pratap Singh","orcid":"https://orcid.org/0000-0001-7573-8550"},"institutions":[{"id":"https://openalex.org/I4210126659","display_name":"Poornima University","ror":"https://ror.org/03gnqp653","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210126659"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Uday Pratap Singh","raw_affiliation_strings":["Department of Artificial Intelligence &amp; Data Science, Poornima Institute of Engineering and Technology, India"],"raw_orcid":"https://orcid.org/0000-0001-7573-8550","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence &amp; Data Science, Poornima Institute of Engineering and Technology, India","institution_ids":["https://openalex.org/I4210126659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101604227","display_name":"Vivek Saxena","orcid":"https://orcid.org/0009-0000-7023-5006"},"institutions":[{"id":"https://openalex.org/I4210126659","display_name":"Poornima University","ror":"https://ror.org/03gnqp653","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210126659"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivek Saxena","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, Poornima Institute of Engineering and Technology, India"],"raw_orcid":"https://orcid.org/0009-0000-7023-5006","affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, Poornima Institute of Engineering and Technology, India","institution_ids":["https://openalex.org/I4210126659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015921663","display_name":"Anil Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126659","display_name":"Poornima University","ror":"https://ror.org/03gnqp653","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210126659"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anil Kumar","raw_affiliation_strings":["Department of Artificial Intelligence &amp; Data Science, Poornima Institute of Engineering and Technology, India"],"raw_orcid":"https://orcid.org/0000-0003-2205-1493","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence &amp; Data Science, Poornima Institute of Engineering and Technology, India","institution_ids":["https://openalex.org/I4210126659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087143345","display_name":"Purushottam Lal Bhari","orcid":"https://orcid.org/0000-0001-5417-4004"},"institutions":[{"id":"https://openalex.org/I4210126659","display_name":"Poornima University","ror":"https://ror.org/03gnqp653","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210126659"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Purushottam Bhari","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, Poornima Institute of Engineering and Technology, India"],"raw_orcid":"https://orcid.org/0000-0001-5417-4004","affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, Poornima Institute of Engineering and Technology, India","institution_ids":["https://openalex.org/I4210126659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001488342","display_name":"Deepika Saxena","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126659","display_name":"Poornima University","ror":"https://ror.org/03gnqp653","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210126659"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepika Saxena","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, Poornima University, India"],"raw_orcid":"https://orcid.org/0000-0003-0294-1245","affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, Poornima University, India","institution_ids":["https://openalex.org/I4210126659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060419096"],"corresponding_institution_ids":["https://openalex.org/I4210126659"],"apc_list":null,"apc_paid":null,"fwci":2.2506,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.87394281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9912999868392944,"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/T12916","display_name":"COVID-19 impact on air quality","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particulates","display_name":"Particulates","score":0.9042456150054932},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.6921306848526001},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6173017621040344},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5613789558410645},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5276766419410706},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5243240594863892},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46157893538475037},{"id":"https://openalex.org/keywords/human-health","display_name":"Human health","score":0.43119704723358154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35488057136535645},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.3342209458351135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16789546608924866},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.15338772535324097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15165993571281433},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12800946831703186},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.0947357714176178},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09346067905426025},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.089946448802948}],"concepts":[{"id":"https://openalex.org/C24245907","wikidata":"https://www.wikidata.org/wiki/Q498957","display_name":"Particulates","level":2,"score":0.9042456150054932},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.6921306848526001},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6173017621040344},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5613789558410645},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5276766419410706},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5243240594863892},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46157893538475037},{"id":"https://openalex.org/C2987857752","wikidata":"https://www.wikidata.org/wiki/Q12147","display_name":"Human health","level":2,"score":0.43119704723358154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35488057136535645},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.3342209458351135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16789546608924866},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.15338772535324097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15165993571281433},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12800946831703186},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0947357714176178},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09346067905426025},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.089946448802948},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3590837.3590888","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3590837.3590888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1933488938","https://openalex.org/W2070773792","https://openalex.org/W2794260655","https://openalex.org/W2955471158","https://openalex.org/W3019057975","https://openalex.org/W3109442633","https://openalex.org/W3126867960","https://openalex.org/W3177449862","https://openalex.org/W3202169040","https://openalex.org/W4281251909","https://openalex.org/W6666761814"],"related_works":["https://openalex.org/W2004318300","https://openalex.org/W4379053281","https://openalex.org/W3041707759","https://openalex.org/W3152742746","https://openalex.org/W2890019891","https://openalex.org/W2419112196","https://openalex.org/W3137679362","https://openalex.org/W4320723326","https://openalex.org/W2180424560","https://openalex.org/W4320081049"],"abstract_inverted_index":{"Fine":[0],"particulate":[1,32],"matter":[2,33],"(PM2.5)":[3],"is":[4,84,98,134,152],"a":[5,27,72,90,116],"perilous":[6],"air":[7,22,57,111],"pollutant":[8],"for":[9],"human":[10],"health,":[11],"especially":[12],"when":[13],"present":[14],"at":[15,26],"high":[16],"airborne":[17],"concentrations.":[18],"The":[19,60,110,162,178],"national":[20],"clean":[21],"program":[23],"(NCAP)":[24],"aims":[25],"40":[28],"%":[29],"reduction":[30],"in":[31,44,63,65,124,149,165,188],"by":[34,154],"2026.":[35],"Therefore,":[36],"the":[37,87,120,129,145,156,181,185,189,192,196],"prediction":[38,146],"of":[39,113,128,147,180,195],"PM2.5":[40,64,148],"has":[41],"great":[42],"significance":[43],"order":[45],"to":[46,54,69,79,96,104,108],"cope":[47,55],"with":[48,56,173],"challenges":[49],"and":[50,175],"taking":[51],"counter":[52],"majors":[53],"quality":[58,112],"issues.":[59],"annual":[61],"change":[62],"Jaipur":[66,114],"from":[67,77,94],"2018":[68],"2019":[70,78],"shows":[71,183],"sharp":[73,91],"decreasing":[74],"trend":[75,83,93],"but":[76],"2020":[80,95],"gradual":[81],"increasing":[82,92],"evident.":[85],"On":[86],"other":[88,126],"hand,":[89],"2021":[97,107],"evident":[99],"while":[100],"it":[101,133],"again":[102],"starts":[103],"fall":[105],"between":[106],"2022.":[109],"reached":[115],"good":[117],"level":[118],"during":[119],"lockdown":[121],"period":[122],"as":[123],"all":[125],"parts":[127],"country.":[130],"But":[131],"now":[132],"reaching":[135],"toward":[136],"Hazardous":[137],"level.":[138],"As":[139],"most":[140],"natural":[141],"systems":[142],"exhibit":[143],"nonlinearity,":[144],"this":[150,166],"study":[151,167,182,190],"accomplished":[153],"utilizing":[155],"Long":[157],"Short-Term":[158],"Memory":[159],"(LSTM)":[160],"model.":[161],"model":[163,186],"employed":[164],"uses":[168],"several":[169],"LSTM":[170],"layers":[171],"along":[172],"dropout":[174],"dense":[176],"layers.":[177],"result":[179],"that":[184],"used":[187],"captures":[191],"internal":[193],"dynamics":[194],"underlying":[197],"dynamical":[198],"system,":[199],"which":[200],"governs":[201],"PM2.5.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":23}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
