{"id":"https://openalex.org/W2128675893","doi":"https://doi.org/10.1109/ijcnn.2006.247317","title":"Deterministic models and Neural Nets: a successful methodology for the air dispersion models","display_name":"Deterministic models and Neural Nets: a successful methodology for the air dispersion models","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2128675893","doi":"https://doi.org/10.1109/ijcnn.2006.247317","mag":"2128675893"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2006.247317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2006.247317","pdf_url":null,"source":{"id":"https://openalex.org/S4363608754","display_name":"The 2006 IEEE International Joint Conference on Neural Network Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2006 IEEE International Joint Conference on Neural Network Proceedings","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/A5089236185","display_name":"Armando Pelliccioni","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"A. Pelliccioni","raw_affiliation_strings":["Ispesl-Dipia, Monteporzio Catone, Italy"],"affiliations":[{"raw_affiliation_string":"Ispesl-Dipia, Monteporzio Catone, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090309347","display_name":"T. Tirabassi","orcid":"https://orcid.org/0000-0003-0266-599X"},"institutions":[{"id":"https://openalex.org/I4210096500","display_name":"Institute of Atmospheric Sciences and Climate","ror":"https://ror.org/00n8ttd98","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210096500","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"T. Tirabassi","raw_affiliation_strings":["ISAC-CNR, Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"ISAC-CNR, Bologna, Italy","institution_ids":["https://openalex.org/I4210096500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041080715","display_name":"S. Bellantone","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Bellantone","raw_affiliation_strings":["Ispesl-Dipia, Monteporzio Catone, Italy"],"affiliations":[{"raw_affiliation_string":"Ispesl-Dipia, Monteporzio Catone, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006295851","display_name":"Claudio Gariazzo","orcid":"https://orcid.org/0000-0003-2287-6364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Gariazzo","raw_affiliation_strings":["Ispesl-Dipia, Monteporzio Catone, Italy"],"affiliations":[{"raw_affiliation_string":"Ispesl-Dipia, Monteporzio Catone, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089236185"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1322314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"5371","last_page":"5376"},"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":0.9986000061035156,"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":0.9911999702453613,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7873721122741699},{"id":"https://openalex.org/keywords/dispersion","display_name":"Dispersion (optics)","score":0.78175950050354},{"id":"https://openalex.org/keywords/atmospheric-dispersion-modeling","display_name":"Atmospheric dispersion modeling","score":0.5752077698707581},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47821518778800964},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.45674625039100647},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.44549915194511414},{"id":"https://openalex.org/keywords/atmosphere","display_name":"Atmosphere (unit)","score":0.44014376401901245},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.43752869963645935},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4364752173423767},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4207392930984497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4122540056705475},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.2580786943435669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1822512149810791},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10860389471054077},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0661950409412384}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7873721122741699},{"id":"https://openalex.org/C177562468","wikidata":"https://www.wikidata.org/wiki/Q182893","display_name":"Dispersion (optics)","level":2,"score":0.78175950050354},{"id":"https://openalex.org/C189764856","wikidata":"https://www.wikidata.org/wiki/Q778187","display_name":"Atmospheric dispersion modeling","level":3,"score":0.5752077698707581},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47821518778800964},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.45674625039100647},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.44549915194511414},{"id":"https://openalex.org/C65440619","wikidata":"https://www.wikidata.org/wiki/Q177974","display_name":"Atmosphere (unit)","level":2,"score":0.44014376401901245},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.43752869963645935},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4364752173423767},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4207392930984497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4122540056705475},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.2580786943435669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1822512149810791},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10860389471054077},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0661950409412384},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/ijcnn.2006.247317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2006.247317","pdf_url":null,"source":{"id":"https://openalex.org/S4363608754","display_name":"The 2006 IEEE International Joint Conference on Neural Network Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2006 IEEE International Joint Conference on Neural Network Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W190795697","https://openalex.org/W1514205146","https://openalex.org/W1667277804","https://openalex.org/W1679528472","https://openalex.org/W1977177161","https://openalex.org/W1980793809","https://openalex.org/W1997743761","https://openalex.org/W2029049979","https://openalex.org/W2034202191","https://openalex.org/W2040814597","https://openalex.org/W2041178263","https://openalex.org/W2089273527","https://openalex.org/W2090593940","https://openalex.org/W2130896823","https://openalex.org/W2177561945","https://openalex.org/W2921000733","https://openalex.org/W4241395986","https://openalex.org/W6637271868"],"related_works":["https://openalex.org/W1528181475","https://openalex.org/W3126191409","https://openalex.org/W576429550","https://openalex.org/W3037073316","https://openalex.org/W4200000791","https://openalex.org/W2358759692","https://openalex.org/W62475640","https://openalex.org/W2151494831","https://openalex.org/W2901562756","https://openalex.org/W2162581553"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"is":[3,97,113],"presented":[4],"the":[5,26,39,46,57,62,69,72,78,89,94,101,107,111,117,124,130],"development":[6],"of":[7,38,48,61,71,87,120,129],"an":[8,30,52,85],"integrated":[9,79,108],"model":[10,15,24,33,74,80],"composed":[11],"by":[12,29],"a":[13,17,49],"dispersion":[14,32,73,102],"and":[16,127],"neural":[18,22,95],"net":[19,23],"(NN).":[20],"The":[21,82],"uses":[25],"concentrations":[27],"predicted":[28],"air":[31],"(ADMD)":[34,76],"as":[35],"input":[36],"variables":[37],"net.":[40],"This":[41],"methodology":[42],"was":[43],"tested":[44],"in":[45],"case":[47],"releases":[50],"from":[51],"elevated":[53],"emission":[54],"source":[55],"using":[56],"urban":[58],"data":[59],"set":[60],"Indianapolis":[63],"field":[64],"study.":[65],"We":[66],"also":[67],"compare":[68],"performance":[70],"alone":[75],"with":[77,123],"(ADMD-NN).":[81],"comparison":[83],"shows":[84],"improvement":[86],"all":[88],"main":[90],"statistical":[91],"index":[92],"when":[93],"network":[96],"added":[98],"downstream":[99],"to":[100,115],"model.":[103],"Tests":[104],"conducted":[105],"on":[106],"models":[109],"reveal":[110],"system":[112],"able":[114],"reproduce":[116],"expected":[118],"behaviour":[119],"pollutant":[121],"concentration":[122],"downwind":[125],"distance":[126],"stability":[128],"atmosphere.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
