{"id":"https://openalex.org/W4391640052","doi":"https://doi.org/10.1109/tii.2024.3353823","title":"Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction","display_name":"Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction","publication_year":2024,"publication_date":"2024-02-08","ids":{"openalex":"https://openalex.org/W4391640052","doi":"https://doi.org/10.1109/tii.2024.3353823"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3353823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3353823","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5014322434","display_name":"Dan Yang","orcid":"https://orcid.org/0000-0002-4962-7360"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Yang","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4962-7360","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067183406","display_name":"Xin Peng","orcid":"https://orcid.org/0000-0001-9277-8415"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Peng","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9277-8415","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038124106","display_name":"Chao Jiang","orcid":"https://orcid.org/0000-0001-8106-4740"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Jiang","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8106-4740","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026828366","display_name":"Xiaolong Wu","orcid":"https://orcid.org/0000-0002-7713-1995"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Wu","raw_affiliation_strings":["Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Beijing Artificial Intelligence Institute and Beijing Laboratory for Intelligent Environmental Protection, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7713-1995","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Beijing Artificial Intelligence Institute and Beijing Laboratory for Intelligent Environmental Protection, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046071840","display_name":"Steven X. Ding","orcid":"https://orcid.org/0000-0002-5149-5918"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steven X. Ding","raw_affiliation_strings":["Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5149-5918","affiliations":[{"raw_affiliation_string":"Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040197045","display_name":"Weimin Zhong","orcid":"https://orcid.org/0000-0002-4285-4739"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Zhong","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4285-4739","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0012,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95668514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":"5","first_page":"7292","last_page":"7302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"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/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T11220","display_name":"Water Systems and Optimization","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/computer-science","display_name":"Computer science","score":0.6944835782051086},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.664844274520874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6519906520843506},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5350348353385925},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5241277813911438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49302026629447937},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4797973930835724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47560152411460876},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.44980964064598083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4432836174964905},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4424671232700348},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44017642736434937},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.43143004179000854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944835782051086},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.664844274520874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6519906520843506},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5350348353385925},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5241277813911438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49302026629447937},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4797973930835724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47560152411460876},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.44980964064598083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4432836174964905},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4424671232700348},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44017642736434937},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.43143004179000854},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2024.3353823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3353823","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:bibliographie.ub.uni-due.de:ubo_mods_00219233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TII.2024.3353823","pdf_url":null,"source":{"id":"https://openalex.org/S7407055102","display_name":"Universit\u00e4tsbibliographie, Universit\u00e4t Duisburg-Essen","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2362273132","display_name":null,"funder_award_id":"62173145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5333276369","display_name":null,"funder_award_id":"222202417006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1987535801","https://openalex.org/W2026104641","https://openalex.org/W2039839604","https://openalex.org/W2064675550","https://openalex.org/W2080693688","https://openalex.org/W2110485445","https://openalex.org/W2115403315","https://openalex.org/W2136295067","https://openalex.org/W2141863509","https://openalex.org/W2165698076","https://openalex.org/W2176028050","https://openalex.org/W2234690043","https://openalex.org/W2593768305","https://openalex.org/W2599566251","https://openalex.org/W2740570963","https://openalex.org/W2804935296","https://openalex.org/W2965420085","https://openalex.org/W3005138100","https://openalex.org/W3005275992","https://openalex.org/W3015751240","https://openalex.org/W3034313723","https://openalex.org/W3037313017","https://openalex.org/W3176033894","https://openalex.org/W3208759073","https://openalex.org/W3217369125","https://openalex.org/W4205629695","https://openalex.org/W4214818191","https://openalex.org/W4226013335","https://openalex.org/W4307684449","https://openalex.org/W4317356949","https://openalex.org/W4319866453","https://openalex.org/W4386201257","https://openalex.org/W6628852983","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6779891924","https://openalex.org/W6856300606"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"Data-driven":[0],"methods":[1],"for":[2,61],"predicting":[3],"quality":[4],"variables":[5],"in":[6,106],"wastewater":[7],"treatment":[8],"processes":[9],"(WWTPs)":[10],"have":[11],"mostly":[12],"ignored":[13],"the":[14,68,83,94,110,114,121,141],"slow":[15,57,76,89],"time-varying":[16],"nature":[17],"of":[18,29,70,78,143,147],"WWTP,":[19],"and":[20,31,47,92],"they":[21],"are":[22],"data-consuming":[23],"that":[24],"need":[25],"a":[26,50,87,132],"large":[27],"amount":[28],"independent":[30],"homogeneously":[32],"distributed":[33],"data,":[34],"which":[35],"makes":[36],"it":[37],"difficult":[38],"to":[39,108,113,120,128,139],"collect.":[40],"To":[41],"address":[42],"this":[43],"issue":[44],"with":[45,80],"few-shot":[46],"inconsistent":[48],"distribution,":[49],"transfer":[51],"learning":[52],"method":[53],"called":[54],"transferable":[55],"deep":[56,88],"feature":[58,90,102],"network":[59,91],"(TDSFN)":[60],"time-series":[62],"prediction":[63,152],"is":[64,104,137,149],"proposed":[65],"by":[66,117],"leveraging":[67],"knowledge":[69],"relevant":[71],"datasets.":[72],"TDSFN":[73,107,148],"extracts":[74],"nonlinear":[75],"features":[77,97,123],"WWTP":[79],"inertia":[81],"from":[82],"time":[84],"series":[85],"through":[86,151],"constructs":[93],"domain":[95,116],"invariant":[96],"based":[98,124,154],"on":[99,125,155],"them.":[100],"Target":[101],"attention":[103],"designed":[105],"enhance":[109],"predictor":[111],"adaptability":[112],"target":[115,129],"assigning":[118],"weights":[119],"source":[122],"their":[126],"similarity":[127],"features.":[130],"Furthermore,":[131],"variational":[133],"Bayesian":[134],"inference":[135],"framework":[136],"introduced":[138],"learn":[140],"parameters":[142],"TDSFN.":[144],"The":[145],"effectiveness":[146],"verified":[150],"experiments":[153],"WWTP.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}