{"id":"https://openalex.org/W4414271180","doi":"https://doi.org/10.23919/transcom.2025ebp3047","title":"Study on Interpretability of Convolutional Neural Network for Electrical Characteristics Prediction of Automotive Wire Harness","display_name":"Study on Interpretability of Convolutional Neural Network for Electrical Characteristics Prediction of Automotive Wire Harness","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4414271180","doi":"https://doi.org/10.23919/transcom.2025ebp3047"},"language":"en","primary_location":{"id":"doi:10.23919/transcom.2025ebp3047","is_oa":false,"landing_page_url":"https://doi.org/10.23919/transcom.2025ebp3047","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","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/A5055336898","display_name":"Shiyan Liu","orcid":"https://orcid.org/0000-0002-6889-101X"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shiyan Liu","raw_affiliation_strings":["Graduate School of Science and Technology, Shizuoka University,Hamamatsu-shi,Japan,432-8561","Graduate School of Science and Technology, Shizuoka University"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Shizuoka University,Hamamatsu-shi,Japan,432-8561","institution_ids":["https://openalex.org/I1298590031"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Shizuoka University","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047877654","display_name":"Tadatoshi Sekine","orcid":"https://orcid.org/0000-0003-1813-822X"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadatoshi Sekine","raw_affiliation_strings":["Shizuoka University,Department of Mechanical Engineering,Hamamatsu-shi,Japan,432-8561","Department of Mechanical Engineering, Shizuoka University"],"affiliations":[{"raw_affiliation_string":"Shizuoka University,Department of Mechanical Engineering,Hamamatsu-shi,Japan,432-8561","institution_ids":["https://openalex.org/I1298590031"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Shizuoka University","institution_ids":["https://openalex.org/I1298590031"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055336898"],"corresponding_institution_ids":["https://openalex.org/I1298590031"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25026402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E109-B","issue":"3","first_page":"439","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9466999769210815,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9466999769210815,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.914900004863739,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9097999930381775,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/interpretability","display_name":"Interpretability","score":0.95660001039505},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.7620999813079834},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6478999853134155},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5702999830245972},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5038999915122986},{"id":"https://openalex.org/keywords/cable-harness","display_name":"Cable harness","score":0.5019000172615051},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4237000048160553}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.95660001039505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346999883651733},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7620999813079834},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6478999853134155},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5702999830245972},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5038999915122986},{"id":"https://openalex.org/C180761244","wikidata":"https://www.wikidata.org/wiki/Q354262","display_name":"Cable harness","level":3,"score":0.5019000172615051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45179998874664307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44699999690055847},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C169822122","wikidata":"https://www.wikidata.org/wiki/Q230187","display_name":"Crosstalk","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.329800009727478},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26750001311302185},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/transcom.2025ebp3047","is_oa":false,"landing_page_url":"https://doi.org/10.23919/transcom.2025ebp3047","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4514075348","display_name":null,"funder_award_id":"JPMJSP2167","funder_id":"https://openalex.org/F4320320907","funder_display_name":"Japan Science and Technology Corporation"}],"funders":[{"id":"https://openalex.org/F4320320907","display_name":"Japan Science and Technology Corporation","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2744790985","https://openalex.org/W2764024122","https://openalex.org/W2962858109","https://openalex.org/W2962949934","https://openalex.org/W3015177564","https://openalex.org/W3035253074","https://openalex.org/W3136021864","https://openalex.org/W3174425638","https://openalex.org/W3208145741","https://openalex.org/W3216623900","https://openalex.org/W4206399587","https://openalex.org/W4283013222","https://openalex.org/W4321844442","https://openalex.org/W4365510182","https://openalex.org/W4386076498","https://openalex.org/W4389193662","https://openalex.org/W4391683859","https://openalex.org/W4393352810","https://openalex.org/W4401164675","https://openalex.org/W4401819028","https://openalex.org/W4404490147"],"related_works":[],"abstract_inverted_index":{"The":[0],"evaluation":[1,101],"of":[2,20,63,117,129,142],"automotive":[3,150],"wire":[4,52,151],"harnesses":[5],"requires":[6],"both":[7],"interpretability":[8,33],"and":[9,18,60,78,123,145],"diversity":[10],"in":[11,51,76],"judgment":[12],"criteria":[13],"to":[14,81,139],"enhance":[15],"the":[16,45,100,115,127,140],"practicality":[17],"reliability":[19,79],"diagnostic":[21,92,147],"models.":[22],"This":[23],"study":[24],"primarily":[25],"focuses":[26],"on":[27],"optimizing":[28],"heatmap":[29,121],"generation":[30],"for":[31,44,108,149],"model":[32,124],"by":[34,68,103],"introducing":[35],"score":[36],"class":[37],"activation":[38],"mapping":[39],"(Score-CAM)":[40],"as":[41,66,89],"a":[42,57,69,90],"replacement":[43],"previously":[46],"used":[47],"gradient-weighted":[48],"CAM":[49],"(Grad-CAM)":[50],"harness":[53],"diagnosis.":[54,110],"Score-CAM":[55,118],"provides":[56],"more":[58,143],"robust":[59],"accurate":[61],"representation":[62],"feature":[64],"importance":[65],"interpreted":[67],"convolutional":[70],"neural":[71],"network":[72],"(CNN),":[73],"addressing":[74],"limitations":[75],"stability":[77],"inherent":[80],"Grad-CAM.":[82],"Additionally,":[83],"crosstalk":[84],"voltage":[85],"(XTV)":[86],"is":[87],"proposed":[88],"supplementary":[91],"criterion":[93],"alongside":[94],"common":[95],"mode":[96],"current":[97],"(CMC),":[98],"enriching":[99],"framework":[102],"providing":[104],"an":[105],"additional":[106],"perspective":[107],"comprehensive":[109],"Experimental":[111],"results":[112],"demonstrate":[113],"that":[114],"integration":[116],"significantly":[119],"enhances":[120],"quality":[122],"interpretability,":[125],"while":[126],"inclusion":[128],"XTV":[130],"offers":[131],"valuable":[132],"complementary":[133],"insights.":[134],"These":[135],"advancements":[136],"collectively":[137],"contribute":[138],"development":[141],"effective":[144],"interpretable":[146],"systems":[148],"harnesses.":[152]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
