{"id":"https://openalex.org/W2775167796","doi":"https://doi.org/10.1109/iwcia.2017.8203554","title":"Estimation of missing data of showcase using artificial neural networks","display_name":"Estimation of missing data of showcase using artificial neural networks","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2775167796","doi":"https://doi.org/10.1109/iwcia.2017.8203554","mag":"2775167796"},"language":"en","primary_location":{"id":"doi:10.1109/iwcia.2017.8203554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia.2017.8203554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA)","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/A5073470997","display_name":"Daiji Sakurai","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daiji Sakurai","raw_affiliation_strings":["School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022209091","display_name":"Yoshikazu Fukuyama","orcid":"https://orcid.org/0000-0002-6115-1676"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshikazu Fukuyama","raw_affiliation_strings":["School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058789806","display_name":"\u00c1damo Lima de Santana","orcid":"https://orcid.org/0000-0003-0745-8519"},"institutions":[{"id":"https://openalex.org/I4210112416","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Par\u00e1","ror":"https://ror.org/02239nd21","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I2801200668","https://openalex.org/I4210112416"]},{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adamo Santana","raw_affiliation_strings":["Institute of Technology, Federal University of Para, Para, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Technology, Federal University of Para, Para, Brazil","institution_ids":["https://openalex.org/I4210112416","https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110535523","display_name":"Yu Kawamura","orcid":null},"institutions":[{"id":"https://openalex.org/I2799635668","display_name":"Fuji Electric (Japan)","ror":"https://ror.org/056701b75","country_code":"JP","type":"company","lineage":["https://openalex.org/I2799635668"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Kawamura","raw_affiliation_strings":["Tatsuya Iizaka and Tetsuro Matsui, Fuji Electric Co. Ltd, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tatsuya Iizaka and Tetsuro Matsui, Fuji Electric Co. Ltd, Tokyo, Japan","institution_ids":["https://openalex.org/I2799635668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110514614","display_name":"Kenya Murakami","orcid":null},"institutions":[{"id":"https://openalex.org/I2799635668","display_name":"Fuji Electric (Japan)","ror":"https://ror.org/056701b75","country_code":"JP","type":"company","lineage":["https://openalex.org/I2799635668"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenya Murakami","raw_affiliation_strings":["Tatsuya Iizaka and Tetsuro Matsui, Fuji Electric Co. Ltd, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tatsuya Iizaka and Tetsuro Matsui, Fuji Electric Co. Ltd, Tokyo, Japan","institution_ids":["https://openalex.org/I2799635668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091768670","display_name":"Tatsuya Iizaka","orcid":null},"institutions":[{"id":"https://openalex.org/I2799635668","display_name":"Fuji Electric (Japan)","ror":"https://ror.org/056701b75","country_code":"JP","type":"company","lineage":["https://openalex.org/I2799635668"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Iizaka","raw_affiliation_strings":["Fuji Electric, Co. Ltd, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Fuji Electric, Co. Ltd, Tokyo, Japan","institution_ids":["https://openalex.org/I2799635668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090791133","display_name":"Tetsuro Matsui","orcid":null},"institutions":[{"id":"https://openalex.org/I2799635668","display_name":"Fuji Electric (Japan)","ror":"https://ror.org/056701b75","country_code":"JP","type":"company","lineage":["https://openalex.org/I2799635668"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuro Matsui","raw_affiliation_strings":["Fuji Electric, Co. Ltd, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Fuji Electric, Co. Ltd, Tokyo, Japan","institution_ids":["https://openalex.org/I2799635668"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5073470997"],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":0.6852,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74398341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2013 mbl 65","issue":null,"first_page":"15","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9451000094413757,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7300175428390503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721885800361633},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4887959659099579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4833235740661621},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4355064332485199},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3499283790588379},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31062984466552734},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1593911051750183},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10148513317108154}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7300175428390503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721885800361633},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4887959659099579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4833235740661621},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4355064332485199},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3499283790588379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31062984466552734},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1593911051750183},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10148513317108154}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcia.2017.8203554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia.2017.8203554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1876878732","https://openalex.org/W1979646154","https://openalex.org/W2013022059","https://openalex.org/W2051812123","https://openalex.org/W2067087906","https://openalex.org/W2081786077","https://openalex.org/W2096740036","https://openalex.org/W2114009629","https://openalex.org/W2137434741","https://openalex.org/W2292124520","https://openalex.org/W2313953460","https://openalex.org/W2330970410","https://openalex.org/W2343462218","https://openalex.org/W2548528932","https://openalex.org/W2769620941","https://openalex.org/W4230715394","https://openalex.org/W6696496856"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W4256612600"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"estimation":[4],"method":[5,97,110],"of":[6,9,32,48,55,58,67,103,107],"missing":[7,101],"data":[8,47,89,102],"showcase":[10],"using":[11],"Artificial":[12],"Neural":[13],"Networks":[14],"(ANN).":[15],"When":[16],"various":[17,45,92],"abnormal":[18,38,69],"conditions":[19,39,70],"such":[20,50],"as":[21,40,42,51],"frost":[22],"formation":[23],"in":[24,74,77],"the":[25,37,68,88,108],"refrigerators":[26],"and":[27,65],"refrigerant":[28],"leakage":[29],"happen,":[30],"vendors":[31],"showcases":[33,49,59],"have":[34,60],"to":[35,61,84,86,91,100],"treat":[36],"quickly":[41],"possible.":[43],"Therefore,":[44],"measured":[46],"temperatures":[52],"or":[53],"pressures":[54],"some":[56],"portions":[57],"be":[62,72],"gathered":[63],"correctly":[64],"symptoms":[66],"should":[71],"estimated":[73],"advance.":[75],"However,":[76],"rare":[78],"cases,":[79],"there":[80],"is":[81,98,111],"a":[82,116],"possibility":[83],"miss":[85],"gather":[87],"due":[90],"on-site":[93],"conditions.":[94],"The":[95],"proposed":[96,109],"applied":[99],"actual":[104],"showcases.":[105],"Effectiveness":[106],"verified":[112],"by":[113],"comparison":[114],"with":[115],"conventional":[117],"ARMA":[118],"method.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
