{"id":"https://openalex.org/W4224221947","doi":"https://doi.org/10.1109/tcyb.2022.3164412","title":"Predicting Demands of COVID-19 Prevention and Control Materials via Co-Evolutionary Transfer Learning","display_name":"Predicting Demands of COVID-19 Prevention and Control Materials via Co-Evolutionary Transfer Learning","publication_year":2022,"publication_date":"2022-04-21","ids":{"openalex":"https://openalex.org/W4224221947","doi":"https://doi.org/10.1109/tcyb.2022.3164412","pmid":"https://pubmed.ncbi.nlm.nih.gov/35446778"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3164412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3164412","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5109376640","display_name":"Song Qin","orcid":"https://orcid.org/0000-0003-3151-6889"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Song","raw_affiliation_strings":["School of Public Health, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Public Health, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100615959","display_name":"Yu\u2010Jun Zheng","orcid":"https://orcid.org/0000-0002-6095-6325"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Jun Zheng","raw_affiliation_strings":["School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042474689","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-9401-3528"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["School of Public Health, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Public Health, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100515239","display_name":"Yujiao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Jiao Huang","raw_affiliation_strings":["Zhijiang College, Zhejiang University of Technology, Shaoxing, China"],"affiliations":[{"raw_affiliation_string":"Zhijiang College, Zhejiang University of Technology, Shaoxing, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019915591","display_name":"Weiguo Sheng","orcid":"https://orcid.org/0000-0001-9680-5126"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Guo Sheng","raw_affiliation_strings":["School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055627037","display_name":"Shengyong Chen","orcid":"https://orcid.org/0000-0002-6705-3831"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng-Yong Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109376640"],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":null,"apc_paid":null,"fwci":2.7184,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9010208,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"53","issue":"6","first_page":"3859","last_page":"3872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9975000023841858,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908000230789185,"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/autoencoder","display_name":"Autoencoder","score":0.7516547441482544},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7313547134399414},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6469963788986206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5747439861297607},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.560861349105835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5590669512748718},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5488348007202148},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5353465676307678},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.49334850907325745},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47342637181282043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44954389333724976},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4490061402320862},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35102033615112305},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16301777958869934},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14197620749473572}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7516547441482544},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7313547134399414},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6469963788986206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5747439861297607},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.560861349105835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5590669512748718},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5488348007202148},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5353465676307678},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.49334850907325745},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47342637181282043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44954389333724976},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4490061402320862},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35102033615112305},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16301777958869934},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14197620749473572},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2022.3164412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3164412","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:35446778","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35446778","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2197544993","display_name":null,"funder_award_id":"61872123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2349216370","display_name":null,"funder_award_id":"LQY20F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5113232420","display_name":null,"funder_award_id":"LR20F030002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6914391491","display_name":null,"funder_award_id":"61873082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W196761320","https://openalex.org/W1705374184","https://openalex.org/W1829951598","https://openalex.org/W1964494592","https://openalex.org/W1986614398","https://openalex.org/W2062907052","https://openalex.org/W2078256042","https://openalex.org/W2079457935","https://openalex.org/W2091564852","https://openalex.org/W2101555702","https://openalex.org/W2110798204","https://openalex.org/W2121394390","https://openalex.org/W2133774033","https://openalex.org/W2149276443","https://openalex.org/W2165698076","https://openalex.org/W2168081761","https://openalex.org/W2178155017","https://openalex.org/W2213971007","https://openalex.org/W2218318129","https://openalex.org/W2401823607","https://openalex.org/W2525305541","https://openalex.org/W2551543312","https://openalex.org/W2557279148","https://openalex.org/W2601450892","https://openalex.org/W2616180702","https://openalex.org/W2726367589","https://openalex.org/W2744594184","https://openalex.org/W2790795792","https://openalex.org/W2889877791","https://openalex.org/W2912222576","https://openalex.org/W2951653466","https://openalex.org/W2956022080","https://openalex.org/W2963943197","https://openalex.org/W2964278684","https://openalex.org/W2965311909","https://openalex.org/W2997574889","https://openalex.org/W2999211502","https://openalex.org/W3010748696","https://openalex.org/W3011220450","https://openalex.org/W3013601031","https://openalex.org/W3013649595","https://openalex.org/W3014919767","https://openalex.org/W3017715647","https://openalex.org/W3021098842","https://openalex.org/W3021303430","https://openalex.org/W3022787740","https://openalex.org/W3027936473","https://openalex.org/W3037096201","https://openalex.org/W3037248710","https://openalex.org/W3037914312","https://openalex.org/W3045460727","https://openalex.org/W3045975320","https://openalex.org/W3087677177","https://openalex.org/W3091787675","https://openalex.org/W3092398080","https://openalex.org/W3092624683","https://openalex.org/W3093282011","https://openalex.org/W3096652851","https://openalex.org/W3101552411","https://openalex.org/W3106212402","https://openalex.org/W3109889825","https://openalex.org/W3117528838","https://openalex.org/W3118372097","https://openalex.org/W3122546483","https://openalex.org/W3135533298","https://openalex.org/W3135815279","https://openalex.org/W3137072410","https://openalex.org/W3144061366","https://openalex.org/W3160425168","https://openalex.org/W3162491590","https://openalex.org/W3168474540","https://openalex.org/W3169508552","https://openalex.org/W3175110359","https://openalex.org/W3175581533","https://openalex.org/W3188934550","https://openalex.org/W4309169108","https://openalex.org/W6608133726","https://openalex.org/W6676481782","https://openalex.org/W6681096077","https://openalex.org/W6687011383","https://openalex.org/W6688386640","https://openalex.org/W6697274609","https://openalex.org/W6713057566","https://openalex.org/W6713955831","https://openalex.org/W6735236233","https://openalex.org/W6775865720","https://openalex.org/W6776641434","https://openalex.org/W6786213433","https://openalex.org/W6788494883","https://openalex.org/W6791635754","https://openalex.org/W7062423369"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049"],"abstract_inverted_index":{"The":[0,119],"novel":[1],"coronavirus":[2],"pneumonia":[3],"(COVID-19)":[4],"has":[5,35],"created":[6],"great":[7],"demands":[8,14,39,77],"for":[9,21,74],"medical":[10,42,82],"resources.":[11],"Determining":[12],"these":[13,124],"timely":[15],"and":[16,24,58,90,109,116,132,148,166,193],"accurately":[17],"is":[18,85,139],"critically":[19],"important":[20,86],"the":[22,27,32,38,55,64,76,176],"prevention":[23,89],"control":[25],"of":[26,40,78,81,123,202],"pandemic.":[28],"However,":[29],"even":[30],"if":[31],"infection":[33,56],"rate":[34,57],"been":[36],"estimated,":[37],"many":[41],"materials":[43],"are":[44,152],"still":[45],"difficult":[46],"to":[47,50,159,170,188],"estimate":[48],"due":[49],"their":[51],"complex":[52],"relationships":[53],"with":[54],"insufficient":[59],"historical":[60],"data.":[61],"To":[62],"alleviate":[63],"difficulties,":[65],"we":[66],"propose":[67],"a":[68,79,142],"co-evolutionary":[69],"transfer":[70,191],"learning":[71,192,195],"(CETL)":[72],"method":[73],"predicting":[75],"set":[80],"materials,":[83],"which":[84],"in":[87,163,205],"COVID-19":[88,203],"control.":[91],"CETL":[92,182],"reuses":[93],"material":[94],"demand":[95],"knowledge":[96,120,162,173],"not":[97],"only":[98],"from":[99,114],"other":[100],"epidemics,":[101],"such":[102],"as":[103],"severe":[104],"acute":[105],"respiratory":[106],"syndrome":[107],"(SARS)":[108],"bird":[110],"flu":[111],"but":[112],"also":[113,128],"natural":[115],"manmade":[117],"disasters.":[118],"or":[121],"data":[122],"related":[125],"tasks":[126],"can":[127],"be":[129],"relatively":[130],"few":[131],"imbalanced.":[133],"In":[134],"CETL,":[135],"each":[136,164],"prediction":[137,150,185],"task":[138],"implemented":[140],"by":[141],"fuzzy":[143],"deep":[144],"contractive":[145],"autoencoder":[146],"(CAE),":[147],"all":[149],"networks":[151],"cooperatively":[153],"evolved,":[154],"simultaneously":[155],"using":[156,167],"intrapopulation":[157],"evolution":[158,169],"learn":[160,171],"task-specific":[161],"domain":[165],"interpopulation":[168],"common":[172],"shared":[174],"across":[175],"domains.":[177],"Experimental":[178],"results":[179],"show":[180],"that":[181],"achieves":[183],"high":[184],"accuracies":[186],"compared":[187],"selected":[189],"state-of-the-art":[190],"multitask":[194],"models":[196],"on":[197],"datasets":[198],"during":[199],"two":[200],"stages":[201],"spreading":[204],"China.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
