{"id":"https://openalex.org/W4210464727","doi":"https://doi.org/10.1109/tits.2022.3142728","title":"Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network","display_name":"Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network","publication_year":2022,"publication_date":"2022-01-31","ids":{"openalex":"https://openalex.org/W4210464727","doi":"https://doi.org/10.1109/tits.2022.3142728"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3142728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3142728","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/20.500.12942/692077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071569011","display_name":"Qinghua Tao","orcid":"https://orcid.org/0000-0001-9705-7748"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Qinghua Tao","raw_affiliation_strings":["Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-9705-7748","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680999","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0002-0704-7499"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040253195","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-2934-4814"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China","Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2934-4814","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067059411","display_name":"Shu Lin","orcid":"https://orcid.org/0000-0002-2079-7606"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Lin","raw_affiliation_strings":["School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026547410","display_name":"Bart De Schutter","orcid":"https://orcid.org/0000-0001-9867-6196"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bart De Schutter","raw_affiliation_strings":["Delft Center for Systems and Control, Delft University of Technology, Delft, CD, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-9867-6196","affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control, Delft University of Technology, Delft, CD, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078854904","display_name":"Johan A. K. Suykens","orcid":"https://orcid.org/0000-0002-8846-6352"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Johan A. K. Suykens","raw_affiliation_strings":["Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-8846-6352","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4438,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78331437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"23","issue":"9","first_page":"15616","last_page":"15628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10524","display_name":"Traffic control and management","score":0.9959999918937683,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7890162467956543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6722474098205566},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5824205279350281},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5661031007766724},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.562641441822052},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5509240031242371},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4575450122356415},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4421737492084503},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.43938320875167847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43855130672454834},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4168105721473694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11950254440307617}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7890162467956543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722474098205566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5824205279350281},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5661031007766724},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.562641441822052},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5509240031242371},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4575450122356415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4421737492084503},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.43938320875167847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43855130672454834},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4168105721473694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11950254440307617},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tits.2022.3142728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3142728","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/692077","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/692077","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ieee Transactions On Intelligent Transportation Systems, vol. 23 (9)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:tudelft.nl:uuid:e3ecf70e-a35f-418f-908a-91ea67ea6071","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:e3ecf70e-a35f-418f-908a-91ea67ea6071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/692077","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/692077","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ieee Transactions On Intelligent Transportation Systems, vol. 23 (9)","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1431749042","display_name":null,"funder_award_id":"KUL0076","funder_id":"https://openalex.org/F4320322308","funder_display_name":"KU Leuven"},{"id":"https://openalex.org/G160199020","display_name":null,"funder_award_id":"787960","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G2212217602","display_name":null,"funder_award_id":"61903304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3092313991","display_name":null,"funder_award_id":"KUL0076","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G5569057711","display_name":null,"funder_award_id":"62173113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7868547006","display_name":null,"funder_award_id":"61673366","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G915480523","display_name":null,"funder_award_id":"U1813224","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/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320322308","display_name":"KU Leuven","ror":"https://ror.org/05f950310"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W593167010","https://openalex.org/W1973943669","https://openalex.org/W1982978808","https://openalex.org/W1991770012","https://openalex.org/W1996538752","https://openalex.org/W2024813458","https://openalex.org/W2036785686","https://openalex.org/W2037141248","https://openalex.org/W2040297119","https://openalex.org/W2043982660","https://openalex.org/W2070321592","https://openalex.org/W2083238230","https://openalex.org/W2085592822","https://openalex.org/W2098749003","https://openalex.org/W2112027492","https://openalex.org/W2132711183","https://openalex.org/W2135325728","https://openalex.org/W2139868442","https://openalex.org/W2163089819","https://openalex.org/W2165991108","https://openalex.org/W2166988467","https://openalex.org/W2171234954","https://openalex.org/W2194775991","https://openalex.org/W2460404912","https://openalex.org/W2579495707","https://openalex.org/W2756203131","https://openalex.org/W2768819438","https://openalex.org/W2775717462","https://openalex.org/W2782391880","https://openalex.org/W2782977972","https://openalex.org/W2794467893","https://openalex.org/W2799149976","https://openalex.org/W2806382623","https://openalex.org/W2808535700","https://openalex.org/W2884092033","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2922146383","https://openalex.org/W2974087501","https://openalex.org/W2994901268","https://openalex.org/W2997848713","https://openalex.org/W2999712306","https://openalex.org/W3001314220","https://openalex.org/W3009646623","https://openalex.org/W3035338169","https://openalex.org/W3043505188","https://openalex.org/W3103720336","https://openalex.org/W3135728061","https://openalex.org/W4240294902"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012"],"abstract_inverted_index":{"Traffic":[0],"flow":[1],"(TF)":[2],"prediction":[3,76,247],"is":[4,22,180,224],"an":[5,203],"important":[6,166],"and":[7,21,46,83,194,202,217,239,248],"yet":[8],"a":[9,86,200],"challenging":[10],"task":[11],"in":[12,142,245],"transportation":[13],"systems,":[14],"since":[15],"the":[16,52,91,105,114,121,128,134,144,155,160,189,211,215,219,237,242],"TF":[17,35,75,212,246],"involves":[18],"high":[19,81],"nonlinearities":[20],"affected":[23],"by":[24,89,213],"many":[25],"elements.":[26],"Recently,":[27],"neural":[28,95],"networks":[29],"have":[30],"attracted":[31],"much":[32],"attention":[33],"for":[34,169,210],"prediction,":[36],"but":[37],"they":[38],"are":[39,58,111,150],"commonly":[40],"black":[41],"boxes":[42],"with":[43,77,137],"complex":[44],"architectures":[45],"difficult":[47],"to":[48,80,133,139,162,186,226,230],"be":[49,208],"interpreted,":[50],"e.g.,":[51],"contributions":[53,145],"of":[54,123,131,191,221,241],"specific":[55,147],"traffic":[56,109,140,148,167,192,232],"elements":[57],"not":[59],"explicit,":[60],"hardly":[61],"providing":[62],"informative":[63,228],"guidance.":[64],"In":[65,104],"this":[66],"paper,":[67],"we":[68,125],"aim":[69],"at":[70],"addressing":[71],"more":[72,165],"interpretable":[73],"short-term":[74],"joint":[78],"consideration":[79],"accuracy,":[82,124],"thus":[84],"introduces":[85],"pragmatic":[87],"method":[88,157,244],"applying":[90],"efficient":[92],"hinging":[93],"hyperplanes":[94],"network":[96],"(EHHNN)":[97],"simply":[98],"built":[99],"upon":[100],"sparse":[101],"neuron":[102],"connections.":[103],"proposed":[106,156,243],"method,":[107],"different":[108,183],"factors":[110,193],"incorporated":[112],"into":[113],"inputs,":[115],"including":[116],"their":[117,196],"spatial-temporal":[118,197],"information.":[119],"Besides":[120],"pursuit":[122],"further":[126],"extend":[127],"ANOVA":[129],"decomposition":[130],"EHHNNs":[132],"interpretation":[135,178],"analysis":[136,179],"specifications":[138],"data,":[141],"which":[143,223],"concerning":[146],"variables":[149,168],"detected":[151],"quantitatively.":[152],"As":[153],"such,":[154],"firstly":[158],"applies":[159],"EHHNN":[161],"filter":[163],"out":[164],"dimensionality":[170],"reduction":[171],"while":[172],"maintaining":[173],"accurate":[174],"prediction.":[175],"Then,":[176],"variable":[177],"performed":[181],"from":[182],"perspectives,":[184],"e.g.":[185],"quantitatively":[187],"investigate":[188],"influence":[190],"also":[195],"impacts.":[198],"Therefore,":[199],"predictor":[201],"analyzing":[204],"tool":[205],"can":[206],"both":[207],"attained":[209],"exerting":[214],"flexibility":[216],"extending":[218],"interpretability":[220],"EHHNNs,":[222],"promising":[225],"provide":[227],"guidance":[229],"future":[231],"control.":[233],"Numerical":[234],"experiments":[235],"verify":[236],"effectiveness":[238],"potential":[240],"analysis.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
