{"id":"https://openalex.org/W2999671561","doi":"https://doi.org/10.1109/iccp48234.2019.8959777","title":"Analyzing Meteorological Data Using Unsupervised Learning Techniques","display_name":"Analyzing Meteorological Data Using Unsupervised Learning Techniques","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2999671561","doi":"https://doi.org/10.1109/iccp48234.2019.8959777","mag":"2999671561"},"language":"en","primary_location":{"id":"doi:10.1109/iccp48234.2019.8959777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp48234.2019.8959777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5017338258","display_name":"Andrei Mihai","orcid":"https://orcid.org/0000-0001-5404-2319"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Andrei Mihai","raw_affiliation_strings":["Faculty of Mathematics and Computer Science Babes¸-Bolyai University,Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science Babes¸-Bolyai University,Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052905844","display_name":"Gabriela Czibula","orcid":"https://orcid.org/0000-0001-7852-681X"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Gabriela Czibula","raw_affiliation_strings":["Faculty of Mathematics and Computer Science Babes¸-Bolyai University,Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science Babes¸-Bolyai University,Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066067552","display_name":"Eugen Mihuletc","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110581","display_name":"Administra\u0163ia Na\u0163ional\u0103 de Meteorologie","ror":"https://ror.org/01sa63389","country_code":"RO","type":"facility","lineage":["https://openalex.org/I4210110581"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Eugen Mihuletc","raw_affiliation_strings":["National Meteorological Administration Bucharest,Romania","National Meteorological Administration Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"National Meteorological Administration Bucharest,Romania","institution_ids":["https://openalex.org/I4210110581"]},{"raw_affiliation_string":"National Meteorological Administration Bucharest, Romania","institution_ids":["https://openalex.org/I4210110581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017338258"],"corresponding_institution_ids":["https://openalex.org/I3125347698"],"apc_list":null,"apc_paid":null,"fwci":0.6124,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69666266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"529","last_page":"536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9779000282287598,"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"}},"topics":[{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9779000282287598,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9556999802589417,"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/nowcasting","display_name":"Nowcasting","score":0.957048773765564},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.7598284482955933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5799252986907959},{"id":"https://openalex.org/keywords/weather-radar","display_name":"Weather radar","score":0.5669354200363159},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.5632986426353455},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5107412338256836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49879908561706543},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.39905670285224915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3926904499530792},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19254052639007568}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.957048773765564},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7598284482955933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799252986907959},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.5669354200363159},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.5632986426353455},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5107412338256836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49879908561706543},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.39905670285224915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3926904499530792},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19254052639007568},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp48234.2019.8959777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp48234.2019.8959777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W176428913","https://openalex.org/W1493518125","https://openalex.org/W1514240133","https://openalex.org/W1610560206","https://openalex.org/W1620611560","https://openalex.org/W1916041339","https://openalex.org/W2005340049","https://openalex.org/W2016184960","https://openalex.org/W2076318482","https://openalex.org/W2083933176","https://openalex.org/W2144762084","https://openalex.org/W2174781512","https://openalex.org/W2175461096","https://openalex.org/W2177494824","https://openalex.org/W2303938464","https://openalex.org/W2321523247","https://openalex.org/W2789977158","https://openalex.org/W2809132130","https://openalex.org/W4231934221","https://openalex.org/W4247446713","https://openalex.org/W6636389049","https://openalex.org/W6636517053"],"related_works":["https://openalex.org/W3036928813","https://openalex.org/W2980742496","https://openalex.org/W3113711264","https://openalex.org/W3133088081","https://openalex.org/W3206023898","https://openalex.org/W3204632865","https://openalex.org/W161035346","https://openalex.org/W2074546050","https://openalex.org/W3111403161","https://openalex.org/W1950949635","https://openalex.org/W3201351850","https://openalex.org/W2912443230","https://openalex.org/W3193737832","https://openalex.org/W2146155355","https://openalex.org/W3111294584","https://openalex.org/W3202525453","https://openalex.org/W2874542806","https://openalex.org/W2281322919","https://openalex.org/W2902010778","https://openalex.org/W2996316435"],"abstract_inverted_index":{"Weather":[0],"nowcasting":[1,55,168],"which":[2,46,112,145],"is":[3,10,26,75],"the":[4,18,32,64,73,79,82,127,133],"analysis":[5],"and":[6,20,63,92],"shortterm":[7],"weather":[8,94,117,167],"forecast":[9],"a":[11,27,149],"topic":[12],"of":[13,35,72,135,154],"major":[14],"interest":[15],"both":[16,89],"for":[17,53,105,166],"meteorological":[19,44,83,150],"machine":[21],"learning":[22,103,137,164],"researchers.":[23],"The":[24,69,152],"problem":[25],"complex":[28],"one":[29],"due":[30],"to":[31,48,76,138],"large":[33],"volume":[34],"data":[36,111,124,142],"(such":[37],"as":[38,101],"radar,":[39],"satellite":[40],"or":[41],"other":[42],"ground":[43],"observations)":[45],"has":[47],"be":[49],"analyzed":[50],"by":[51,126],"meteorologists":[52],"issuing":[54],"warnings.":[56],"In":[57],"addition,":[58],"climate":[59,65],"changes":[60],"are":[61,67,99,113,146],"chaotic":[62],"models":[66,104,165],"complex.":[68],"main":[70],"goal":[71],"paper":[74],"better":[77],"understand":[78],"relationships":[80],"between":[81],"products":[84],"extracted":[85],"from":[86,148],"radar":[87,110,123,141,171],"observations":[88],"in":[90,109,140,160],"severe":[91],"normal":[93],"conditions.":[95],"Self":[96],"organizing":[97],"maps":[98],"proposed":[100],"unsupervised":[102,136],"detecting":[106],"hidden":[107,143],"patterns":[108],"well":[114],"correlated":[115],"with":[116],"changes.":[118],"Experiments":[119],"performed":[120],"on":[121,170],"real":[122],"provided":[125],"Romanian":[128],"National":[129],"Meteorological":[130],"Administration":[131],"highlight":[132],"potential":[134],"uncover":[139],"rules":[144],"relevant":[147],"perspective.":[151],"results":[153,159],"our":[155],"study":[156],"suggest":[157],"promising":[158],"applying":[161],"predictive":[162],"supervised":[163],"based":[169],"data.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}