{"id":"https://openalex.org/W4294069556","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869172","title":"Enhancing Recognition Accuracy of Urban Flooding by Generating Synthetic Samples Using CycleGAN","display_name":"Enhancing Recognition Accuracy of Urban Flooding by Generating Synthetic Samples Using CycleGAN","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294069556","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869172"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9869172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869172","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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/A5103266265","display_name":"Kuei\u2010Chung Chang","orcid":"https://orcid.org/0000-0003-4145-1927"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuei-Chung Chang","raw_affiliation_strings":["Feng Chia University,Dept. of Information Engineering and Computer Science,Taiwan, R.O.C","Dept. of Information Engineering and Computer Science, Feng Chia University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feng Chia University,Dept. of Information Engineering and Computer Science,Taiwan, R.O.C","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Dept. of Information Engineering and Computer Science, Feng Chia University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027678472","display_name":"Yi-De Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-De Liao","raw_affiliation_strings":["Feng Chia University,Dept. of Information Engineering and Computer Science,Taiwan, R.O.C","Dept. of Information Engineering and Computer Science, Feng Chia University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feng Chia University,Dept. of Information Engineering and Computer Science,Taiwan, R.O.C","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Dept. of Information Engineering and Computer Science, Feng Chia University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032154987","display_name":"Chun\u2010Yu Kuo","orcid":"https://orcid.org/0000-0002-7378-9888"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Yu Kuo","raw_affiliation_strings":["Feng Chia University,Dept. of Information Engineering and Computer Science,Taiwan, R.O.C","Dept. of Information Engineering and Computer Science, Feng Chia University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feng Chia University,Dept. of Information Engineering and Computer Science,Taiwan, R.O.C","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Dept. of Information Engineering and Computer Science, Feng Chia University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":null,"apc_paid":null,"fwci":0.3698,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67300189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flooding","display_name":"Flooding (psychology)","score":0.7565553784370422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7544889450073242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6425036787986755},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5764404535293579},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5380816459655762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45514893531799316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4367874264717102},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43474695086479187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2634657621383667}],"concepts":[{"id":"https://openalex.org/C186594467","wikidata":"https://www.wikidata.org/wiki/Q1429176","display_name":"Flooding (psychology)","level":2,"score":0.7565553784370422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7544889450073242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6425036787986755},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5764404535293579},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5380816459655762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45514893531799316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4367874264717102},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43474695086479187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2634657621383667},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan55306.2022.9869172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869172","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":"2022 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6646440043","display_name":null,"funder_award_id":"110-2221-E-035-030-MY2","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2794022343","https://openalex.org/W2916393500","https://openalex.org/W2962793481","https://openalex.org/W3089363132"],"related_works":["https://openalex.org/W2081982437","https://openalex.org/W4394857231","https://openalex.org/W2027050655","https://openalex.org/W3028244590","https://openalex.org/W4254349500","https://openalex.org/W2014369232","https://openalex.org/W3122042562","https://openalex.org/W2050078012","https://openalex.org/W2060761133","https://openalex.org/W2360307734"],"abstract_inverted_index":{"In":[0,70,85,112],"traditional":[1],"supervised":[2],"learning":[3],"technique,":[4],"when":[5],"the":[6,13,16,48,52,89,110,119,141,147],"number":[7],"of":[8,15,29,55,68,91],"label":[9],"samples":[10,46,56,93,107,117],"is":[11,57],"sufficient,":[12],"accuracy":[14,148],"model":[17,31,64],"will":[18,24],"be":[19,33],"high.":[20],"But,":[21],"some":[22,105,130],"problems":[23],"happen":[25],"for":[26,47,60,94,108],"this":[27,71],"kind":[28],"training":[30,45,109],"to":[32,35,87,103,114,127,149],"applied":[34],"outdoor":[36],"environment.":[37],"First,":[38],"there":[39],"are":[40],"not":[41],"stable":[42],"and":[43,140],"sufficient":[44],"target":[49],"model.":[50,111],"Second,":[51],"labeling":[53],"cost":[54],"always":[58],"high":[59],"retraining":[61],"a":[62,66,75,124],"new":[63],"after":[65],"period":[67],"time.":[69],"paper,":[72],"we":[73,100,122,144],"design":[74],"real-time":[76],"urban":[77],"flooding":[78],"detection":[79],"system":[80],"based":[81],"on":[82],"CCTV":[83],"images.":[84],"order":[86,113],"solve":[88],"problem":[90],"insufficient":[92],"special":[95],"class":[96],"such":[97],"as":[98],"flooding,":[99],"use":[101],"CycleGAN":[102],"generate":[104],"synthetic":[106],"get":[115],"good":[116],"from":[118],"generated":[120],"samples,":[121],"propose":[123],"filtering":[125],"approach":[126],"filter":[128],"out":[129],"bad":[131],"samples.":[132],"We":[133],"take":[134],"100":[135],"CCTVS":[136],"in":[137],"our":[138],"experiments,":[139],"results":[142],"show":[143],"can":[145],"enhance":[146],"97.2%.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
