{"id":"https://openalex.org/W4205311522","doi":"https://doi.org/10.1145/3491396.3506519","title":"ECNN","display_name":"ECNN","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W4205311522","doi":"https://doi.org/10.1145/3491396.3506519"},"language":"en","primary_location":{"id":"doi:10.1145/3491396.3506519","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491396.3506519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM International Conference on Intelligent Computing and its Emerging Applications","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/A5100331131","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-4383-6505"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102507843","display_name":"Zhaoqian Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqian Zhang","raw_affiliation_strings":["Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819467","display_name":"Zhigang Zhao","orcid":"https://orcid.org/0000-0002-1760-7939"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Zhao","raw_affiliation_strings":["Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063303592","display_name":"Wu Lu","orcid":"https://orcid.org/0000-0001-5237-5486"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy ofSciences), Shandong Computer Science Center (National Supercomputer Center in Jinan)"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy ofSciences), Shandong Computer Science Center (National Supercomputer Center in Jinan)","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084580198","display_name":"Jidong Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jidong Huo","raw_affiliation_strings":["Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology, (Shandong Academy of Sciences), Shandong Computer Science Center, (National Supercomputer Center in Jinan)","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100703791","display_name":"Yinglong Wang","orcid":"https://orcid.org/0000-0002-8350-7186"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglong Wang","raw_affiliation_strings":["Qilu University of Technology, (Shandong Academy of Sciences)"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology, (Shandong Academy of Sciences)","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100331131"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65150594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"170","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.974399983882904,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8214373588562012},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7016893625259399},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6432826519012451},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6262112259864807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.618599534034729},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5950320959091187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5664823055267334},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.563669741153717},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5085278749465942},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5003535747528076},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4710778295993805},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.46303805708885193},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4405047595500946},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4324507415294647},{"id":"https://openalex.org/keywords/ocean-observations","display_name":"Ocean observations","score":0.425751656293869}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8214373588562012},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7016893625259399},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6432826519012451},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6262112259864807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.618599534034729},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5950320959091187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5664823055267334},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.563669741153717},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5085278749465942},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5003535747528076},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4710778295993805},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.46303805708885193},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4405047595500946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4324507415294647},{"id":"https://openalex.org/C2776248883","wikidata":"https://www.wikidata.org/wiki/Q17154087","display_name":"Ocean observations","level":2,"score":0.425751656293869},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3491396.3506519","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491396.3506519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM International Conference on Intelligent Computing and its Emerging Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2029171653","https://openalex.org/W2074694452","https://openalex.org/W2122537498","https://openalex.org/W2293983046","https://openalex.org/W2544708643","https://openalex.org/W2560647685","https://openalex.org/W2560674852","https://openalex.org/W2626498001","https://openalex.org/W2788388592","https://openalex.org/W2906498146","https://openalex.org/W2964248614","https://openalex.org/W3157818903","https://openalex.org/W3158669617"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W4200217704","https://openalex.org/W3201554469","https://openalex.org/W2368264659","https://openalex.org/W4307392573","https://openalex.org/W2060628068","https://openalex.org/W3112950814","https://openalex.org/W3208495060","https://openalex.org/W2161835057"],"abstract_inverted_index":{"Despite":[0],"been":[1],"extensively":[2],"explored,":[3],"current":[4],"techniques":[5,208],"in":[6,19,34,57,161],"sequential":[7,163],"data":[8,42,48,68,88,127,159,186,211],"modeling":[9],"and":[10,51,173],"prediction":[11,212],"are":[12,175],"generally":[13],"designed":[14],"for":[15,38,66,100],"solving":[16],"regression":[17],"tasks":[18],"a":[20,79,108,162],"batch":[21],"learning":[22,65,81,110,166,207],"setting,":[23],"making":[24],"them":[25],"not":[26],"only":[27],"computationally":[28],"inefficient":[29],"but":[30],"also":[31],"poorly":[32],"scalable":[33],"real-world":[35],"applications,":[36],"especially":[37],"real-time":[39],"intelligent":[40],"ocean":[41,67,87,184,210],"quality":[43],"control":[44],"(QC),":[45],"where":[46],"the":[47,52,63,85,96,123,126,134,153,156,170,178,188,200],"arrives":[49],"sequentially":[50],"QC":[53],"should":[54],"be":[55],"conducted":[56],"real":[58,183],"time.":[59],"This":[60],"paper":[61],"investigates":[62],"online":[64,165,205],"streams":[69,160],"by":[70,168],"resolving":[71],"two":[72],"main":[73],"challenges:":[74],"(i)":[75],"how":[76,105],"to":[77,83,106,120,128],"develop":[78,107],"deep":[80,109,121,206],"model":[82,111,157],"capture":[84],"complex":[86],"distribution":[89],"that":[90,112,150,203],"could":[91],"evolve":[92],"dynamically,":[93],"namely":[94,132],"tackling":[95,133],"'concept":[97],"drift'":[98],"problem":[99],"non-stationary":[101],"time":[102],"series;":[103],"(ii)":[104],"can":[113],"dynamically":[114,151],"adapt":[115],"its":[116],"structure":[117],"from":[118,158],"shallow":[119],"with":[122],"inflow":[124],"of":[125,155,190],"overcome":[129],"under-fitting":[130],"problem,":[131],"'model":[135],"selection'":[136],"problem.":[137],"To":[138],"tackle":[139],"these":[140],"challenges,":[141],"we":[142,196],"propose":[143],"one":[144],"Evolutive":[145],"Convolutional":[146],"Neural":[147],"Network":[148],"(ECNN)":[149],"re-weighting":[152],"sub-structure":[154],"or":[164],"fashion,":[167],"which":[169],"capacity":[171],"scalability":[172],"sustainability":[174],"introduced":[176],"into":[177,209],"model.":[179,192],"The":[180],"experiments":[181],"on":[182],"observation":[185],"verify":[187],"effectiveness":[189],"our":[191],"As":[193],"far":[194],"as":[195],"know,":[197],"it":[198],"is":[199],"first":[201],"work":[202],"introduce":[204],"research.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-01-25T00:00:00"}