{"id":"https://openalex.org/W2890195135","doi":"https://doi.org/10.1109/icip.2018.8451306","title":"Particle Pollution Estimation from Images Using Convolutional Neural Network and Weather Features","display_name":"Particle Pollution Estimation from Images Using Convolutional Neural Network and Weather Features","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890195135","doi":"https://doi.org/10.1109/icip.2018.8451306","mag":"2890195135"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110951215","display_name":"Qirong Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qirong Bo","raw_affiliation_strings":["School of Information and Technology, Northwest University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Technology, Northwest University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635228","display_name":"Wenwen Yang","orcid":"https://orcid.org/0009-0005-9640-2980"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Yang","raw_affiliation_strings":["School of Information and Technology, Northwest University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Technology, Northwest University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008476354","display_name":"Nabin Rijal","orcid":null},"institutions":[{"id":"https://openalex.org/I177898655","display_name":"Lamar University","ror":"https://ror.org/008ms5s18","country_code":"US","type":"education","lineage":["https://openalex.org/I177898655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nabin Rijal","raw_affiliation_strings":["Computer Science Department, Lamar University, Beaumont, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Lamar University, Beaumont, TX, USA","institution_ids":["https://openalex.org/I177898655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101823922","display_name":"Yilin Xie","orcid":"https://orcid.org/0000-0002-1899-1469"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Xie","raw_affiliation_strings":["School of Information and Technology, Northwest University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Technology, Northwest University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071285943","display_name":"Jun Feng","orcid":"https://orcid.org/0000-0002-0706-2103"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Feng","raw_affiliation_strings":["School of Information and Technology, Northwest University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Technology, Northwest University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100345321","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-6595-7661"},"institutions":[{"id":"https://openalex.org/I177898655","display_name":"Lamar University","ror":"https://ror.org/008ms5s18","country_code":"US","type":"education","lineage":["https://openalex.org/I177898655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Computer Science Department, Lamar University, Beaumont, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Lamar University, Beaumont, TX, USA","institution_ids":["https://openalex.org/I177898655"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4898,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92872486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3433","last_page":"3437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.716222882270813},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.6904376149177551},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.5820686221122742},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5648705363273621},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5380204916000366},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.5310267210006714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.525477945804596},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5186761617660522},{"id":"https://openalex.org/keywords/particulates","display_name":"Particulates","score":0.4578576982021332},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43102699518203735},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3830975294113159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3682672679424286},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.14314675331115723},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1106376051902771}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.716222882270813},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.6904376149177551},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5820686221122742},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5648705363273621},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5380204916000366},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.5310267210006714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.525477945804596},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5186761617660522},{"id":"https://openalex.org/C24245907","wikidata":"https://www.wikidata.org/wiki/Q498957","display_name":"Particulates","level":2,"score":0.4578576982021332},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43102699518203735},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3830975294113159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3682672679424286},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.14314675331115723},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1106376051902771},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2006980073","https://openalex.org/W2034446988","https://openalex.org/W2056207324","https://openalex.org/W2098667370","https://openalex.org/W2140282454","https://openalex.org/W2194775991","https://openalex.org/W2255698143","https://openalex.org/W2331026931","https://openalex.org/W2412358696","https://openalex.org/W2523989733","https://openalex.org/W2766668310","https://openalex.org/W2791942352","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807","https://openalex.org/W3123974110","https://openalex.org/W2070677502"],"abstract_inverted_index":{"Airborne":[0],"particulate":[1],"matter":[2],"with":[3],"a":[4,96,134],"diameter":[5],"less":[6],"than":[7],"2.5":[8],"micrometers":[9],"(PM2.5)":[10],"is":[11],"one":[12],"of":[13,57,63,79,160],"the":[14,103,112,158,161],"most":[15],"harmful":[16],"air":[17,64],"pollutants,":[18],"because":[19],"PM2.5":[20,47,58,77,104,113,131,165],"can":[21,50],"be":[22],"inhaled":[23],"into":[24,37],"human":[25],"body":[26],"and":[27,39,45,59,72,85,110,117,122,149,154],"cause":[28],"serious":[29],"health":[30,61],"problems":[31],"by":[32,115],"transmitting":[33],"hazardous":[34],"chemicals":[35],"deeply":[36],"lung":[38],"bloodstream.":[40],"A":[41],"reliable,":[42],"easily":[43],"accessible,":[44],"low-cost":[46],"monitoring":[48],"system":[49],"greatly":[51],"help":[52],"people":[53],"raise":[54],"public":[55],"awareness":[56],"reduce":[60],"hazards":[62],"pollution.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"combine":[70],"image":[71,108],"weather":[73,119],"information":[74],"to":[75,101,127],"estimate":[76],"indices":[78],"outdoor":[80],"images":[81],"using":[82,133,142],"deep":[83],"learning":[84],"support":[86],"vector":[87],"regression":[88],"(SVR)":[89],"techniques.":[90],"The":[91],"proposed":[92,162],"method":[93,141,163],"first":[94],"uses":[95],"convolutional":[97],"neural":[98],"network":[99],"(CNN)":[100],"predict":[102],"index":[105,132],"based":[106],"on":[107],"information,":[109],"then":[111],"predicted":[114],"CNN":[116],"two":[118,143],"features,":[120],"humidity":[121],"wind":[123],"speed,":[124],"are":[125],"combined":[126],"yield":[128],"final":[129],"estimated":[130],"created":[135],"SVR":[136],"model.":[137],"We":[138],"assessed":[139],"our":[140],"datasets":[144],"collected":[145],"from":[146],"Shanghai":[147],"City":[148,151],"Beijing":[150],"in":[152],"China":[153],"experimental":[155],"results":[156],"demonstrated":[157],"effectiveness":[159],"for":[164],"estimation.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
