乐胖代购免代理版

{"id":"https://openalex.org/W4306398599","doi":"https://doi.org/10.3390/s22207864","title":"Machine-Learning-Based Near-Surface Ozone Forecasting Model with Planetary Boundary Layer Information","display_name":"Machine-Learning-Based Near-Surface Ozone Forecasting Model with Planetary Boundary Layer Information","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306398599","doi":"https://doi.org/10.3390/s22207864","pmid":"https://pubmed.ncbi.nlm.nih.gov/36298214"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207864","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7864/pdf?version=1666586619","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/20/7864/pdf?version=1666586619","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078070334","display_name":"Kabseok Ko","orcid":"https://orcid.org/0000-0002-4962-9382"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kabseok Ko","raw_affiliation_strings":["Department of Electronics Engineering, Kangwon National University, Chuncheon 24341, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Kangwon National University, Chuncheon 24341, Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077150604","display_name":"Seokheon Cho","orcid":"https://orcid.org/0000-0002-0054-3457"},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]},{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seokheon Cho","raw_affiliation_strings":["Qualcomm Institute, University of California, San Diego (UCSD), San Diego, CA 92093, USA"],"affiliations":[{"raw_affiliation_string":"Qualcomm Institute, University of California, San Diego (UCSD), San Diego, CA 92093, USA","institution_ids":["https://openalex.org/I4210087596","https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074697921","display_name":"Ramesh R. Rao","orcid":"https://orcid.org/0000-0002-6523-0208"},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]},{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramesh R. Rao","raw_affiliation_strings":["Qualcomm Institute, University of California, San Diego (UCSD), San Diego, CA 92093, USA"],"affiliations":[{"raw_affiliation_string":"Qualcomm Institute, University of California, San Diego (UCSD), San Diego, CA 92093, USA","institution_ids":["https://openalex.org/I4210087596","https://openalex.org/I36258959"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077150604"],"corresponding_institution_ids":["https://openalex.org/I4210087596","https://openalex.org/I36258959"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598,"provenance":"doaj"},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598,"provenance":"doaj"},"fwci":0.464,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":4,"citation_normalized_percentile":{"value":0.555701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":83},"biblio":{"volume":"22","issue":"20","first_page":"7864","last_page":"7864"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998,"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":0.9998,"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":0.9989,"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/T10075","display_name":"Atmospheric chemistry and aerosols","score":0.9986,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.72961307},{"id":"https://openalex.org/C508106653","wikidata":"https://www.wikidata.org/wiki/Q36933","display_name":"Ozone","level":2,"score":0.6349592},{"id":"https://openalex.org/C133204551","wikidata":"https://www.wikidata.org/wiki/Q838305","display_name":"Weather Research and Forecasting Model","level":2,"score":0.62747806},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5767534},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.5724425},{"id":"https://openalex.org/C170061395","wikidata":"https://www.wikidata.org/wiki/Q5468164","display_name":"Forecast skill","level":2,"score":0.5089607},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.49698737},{"id":"https://openalex.org/C115719804","wikidata":"https://www.wikidata.org/wiki/Q79995","display_name":"Ozone layer","level":3,"score":0.4738629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34510204},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.3372754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2419883},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2235159},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14488244},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08008015}],"mesh":[{"descriptor_ui":"D000393","descriptor_name":"Air Pollutants","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000397","descriptor_name":"Air Pollution","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010126","descriptor_name":"Ozone","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000393","descriptor_name":"Air Pollutants","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D000397","descriptor_name":"Air Pollution","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D004784","descriptor_name":"Environmental Monitoring","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004784","descriptor_name":"Environmental Monitoring","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010126","descriptor_name":"Ozone","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false}],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207864","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7864/pdf?version=1666586619","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/bffd0e48424541c787d98cadc64e996f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610675","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36298214","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207864","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7864/pdf?version=1666586619","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1566256432","https://openalex.org/W1973445304","https://openalex.org/W1998422116","https://openalex.org/W2008641894","https://openalex.org/W2062435110","https://openalex.org/W2064675550","https://openalex.org/W2079735306","https://openalex.org/W2111286455","https://openalex.org/W2115264548","https://openalex.org/W2127981487","https://openalex.org/W2131774270","https://openalex.org/W2136848157","https://openalex.org/W2167530014","https://openalex.org/W2754252319","https://openalex.org/W2803892188","https://openalex.org/W2891044100","https://openalex.org/W2891632373","https://openalex.org/W2907228515","https://openalex.org/W2908875359","https://openalex.org/W2913324262","https://openalex.org/W2914767245","https://openalex.org/W2990792561","https://openalex.org/W3009252385","https://openalex.org/W3010200293","https://openalex.org/W3084289605","https://openalex.org/W3096084900","https://openalex.org/W3166356826","https://openalex.org/W4200586036"],"related_works":["https://openalex.org/W4393715633","https://openalex.org/W4244382678","https://openalex.org/W3139996901","https://openalex.org/W2942724128","https://openalex.org/W2409617285","https://openalex.org/W223119372","https://openalex.org/W2141739410","https://openalex.org/W2102532664","https://openalex.org/W2039838151","https://openalex.org/W2031723548"],"abstract_inverted_index":{"Surface":[0],"ozone":[1,28,41,56,87,96,104,123,129,149,198,276],"is":[2,30,188],"one":[3],"of":[4,69,113,115,121,159,174,203,205,270],"six":[5],"air":[6],"pollutants":[7],"designated":[8],"as":[9,46,48,80,163],"harmful":[10],"by":[11],"National":[12],"Ambient":[13],"Air":[14],"Quality":[15],"Standards":[16],"because":[17],"it":[18,99,187],"can":[19,35,265],"adversely":[20],"impact":[21,95],"human":[22],"health":[23],"and":[24,137,166,182,212,223,230],"the":[25,67,111,119,171,179,221,267],"environment.":[26],"Thus,":[27],"forecasting":[29,50,59,88,130,183,199,268],"a":[31,81],"critical":[32],"task":[33],"that":[34,220,260],"help":[36],"people":[37],"avoid":[38],"dangerously":[39],"high":[40],"concentrations.":[42,277],"Conventional":[43],"numerical":[44],"approaches,":[45,51],"well":[47],"data-driven":[49,86,271],"have":[52,63],"been":[53,92],"studied":[54],"for":[55,85,151,274],"forecasting.":[57],"Data-driven":[58],"models,":[60,131],"in":[61,103,201,243,249],"particular,":[62],"gained":[64],"momentum":[65],"with":[66,247],"introduction":[68],"machine":[70],"learning":[71],"advancements.":[72],"We":[73,125,169,195],"consider":[74,170],"planetary":[75],"boundary":[76],"layer":[77],"(PBL)":[78],"height":[79,117,176,264],"new":[82],"input":[83,160],"feature":[84],"models.":[89,143],"PBL":[90,116,167,175,193,235,253,263],"has":[91],"shown":[93],"to":[94,190],"concentrations,":[97],"making":[98],"an":[100,152],"important":[101],"factor":[102],"forecasts.":[105,124],"In":[106],"this":[107],"paper,":[108],"we":[109],"investigate":[110],"effectiveness":[112],"utilization":[114],"on":[118,133],"performance":[120,269],"surface":[122,128,275],"present":[126],"both":[127],"based":[132],"multilayer":[134],"perceptron":[135],"(MLP)":[136],"bidirectional":[138,224],"long":[139],"short-term":[140],"memory":[141],"(LSTM)":[142],"These":[144],"two":[145,157,197],"models":[146,200,226,248,273],"forecast":[147],"hourly":[148],"concentrations":[150],"upcoming":[153],"24-h":[154],"period":[155],"using":[156],"types":[158],"data,":[161],"such":[162],"measurement":[164],"data":[165,254],"height.":[168],"predicted":[172],"values":[173],"obtained":[177],"from":[178],"weather":[180],"research":[181],"(WRF)":[184],"model,":[185],"since":[186],"difficult":[189],"gather":[191],"actual":[192],"measurements.":[194],"evaluate":[196],"terms":[202],"index":[204],"agreement":[206],"(IOA),":[207],"mean":[208,214],"absolute":[209],"error":[210,216],"(MAE),":[211],"root":[213],"square":[215],"(RMSE).":[217],"Results":[218],"showed":[219],"MLP-based":[222],"LSTM-based":[225],"yielded":[227],"lower":[228],"MAE":[229],"RMSE":[231],"when":[232,245],"considering":[233],"forecasted":[234,252,262],"height,":[236],"but":[237],"there":[238],"was":[239],"no":[240,251],"significant":[241],"changes":[242],"IOA":[244],"compared":[246],"which":[250],"were":[255],"used.":[256],"This":[257],"result":[258],"suggests":[259],"utilizing":[261],"improve":[266],"prediction":[272]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4306398599","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-01-08T22:15:41.644141","created_date":"2022-10-17"}