{"id":"https://openalex.org/W4399144453","doi":"https://doi.org/10.1145/3654823.3654896","title":"A Novel End-to-End Ensemble UNet Network Based on Edge Computing for Tool Wear Detection","display_name":"A Novel End-to-End Ensemble UNet Network Based on Edge Computing for Tool Wear Detection","publication_year":2024,"publication_date":"2024-03-22","ids":{"openalex":"https://openalex.org/W4399144453","doi":"https://doi.org/10.1145/3654823.3654896"},"language":"en","primary_location":{"id":"doi:10.1145/3654823.3654896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","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/A5103090938","display_name":"Jian Wen Chen","orcid":"https://orcid.org/0009-0008-5305-5976"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jianwen Chen","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan"],"raw_orcid":"https://orcid.org/0009-0008-5305-5976","affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087226712","display_name":"Meng-Shiun Tsai","orcid":"https://orcid.org/0000-0002-0479-5299"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Meng-Shiun Tsai","raw_affiliation_strings":["Department of Mechanical Engineering, National Taiwan University, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-0479-5299","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016356851","display_name":"Wan-Ju Lin","orcid":"https://orcid.org/0009-0005-5354-9835"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wan-Ju Lin","raw_affiliation_strings":["Department of Mold and Die Engineering, National Kaohsiung University of Science and Technology, Taiwan"],"raw_orcid":"https://orcid.org/0009-0005-5354-9835","affiliations":[{"raw_affiliation_string":"Department of Mold and Die Engineering, National Kaohsiung University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I4387154394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003302169","display_name":"Che\u2010Lun Hung","orcid":"https://orcid.org/0000-0002-8906-9367"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Che-Lun Hung","raw_affiliation_strings":["Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-8906-9367","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103090938"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.9992,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77720901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"403","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9660000205039978,"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/robustness","display_name":"Robustness (evolution)","score":0.7518035173416138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7282404899597168},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.7154725193977356},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6006523370742798},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.49808192253112793},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4928700923919678},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.46435263752937317},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45381447672843933},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4342459738254547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3835400640964508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37042665481567383},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.369495689868927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32364413142204285}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7518035173416138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7282404899597168},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.7154725193977356},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6006523370742798},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.49808192253112793},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4928700923919678},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.46435263752937317},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45381447672843933},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4342459738254547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3835400640964508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37042665481567383},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.369495689868927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32364413142204285},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654823.3654896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1716715951","https://openalex.org/W2082542566","https://openalex.org/W2605910748","https://openalex.org/W2774320778","https://openalex.org/W2982101233","https://openalex.org/W2999580839","https://openalex.org/W3042682092","https://openalex.org/W3094524266","https://openalex.org/W3202397114","https://openalex.org/W4250343614","https://openalex.org/W4293010209"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3179968364","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Automated":[0],"tool":[1,32,105],"wear":[2,33,106],"condition":[3],"monitoring":[4],"is":[5,47],"essential":[6],"for":[7,23,77],"ensuring":[8],"product":[9],"quality.":[10],"However,":[11],"achieving":[12],"both":[13],"high":[14],"detection":[15,34,107],"precision":[16],"and":[17,59,80,87,99,114],"utilizing":[18,36],"edge":[19,37],"computing":[20,38,69],"are":[21,71],"critical":[22],"advancing":[24],"intelligent":[25],"manufacturing.":[26],"Consequently,":[27],"this":[28],"article":[29],"develops":[30],"a":[31,41,125],"system":[35],"techniques.":[39],"Firstly,":[40],"novel":[42],"end-to-end":[43,50],"ensemble":[44],"UNet-based":[45],"model":[46],"proposed.":[48],"Through":[49],"feature":[51],"fusion":[52],"training,":[53],"it":[54],"effectively":[55],"addresses":[56],"the":[57,75,118],"robustness":[58],"accuracy":[60],"issues":[61],"inherent":[62],"in":[63,89,104],"single":[64],"models.":[65],"Secondly,":[66],"multiple":[67],"neural":[68],"sticks":[70],"involved":[72],"to":[73],"reduce":[74],"need":[76],"cloud":[78],"transmission":[79],"preserve":[81],"data":[82],"privacy,":[83],"thereby":[84],"enabling":[85],"scalability":[86],"flexibility":[88],"deployment.":[90],"Experiments":[91],"demonstrate":[92],"that":[93],"mean":[94,100],"intersection":[95],"over":[96,112],"union":[97],"(mIoU)":[98],"dice":[101],"coefficient":[102],"(mDice)":[103],"can":[108,121],"be":[109,122],"improved":[110],"by":[111,124],"3%":[113],"2%,":[115],"respectively.":[116],"Furthermore,":[117],"execution":[119],"time":[120],"accelerated":[123],"factor":[126],"of":[127],"4.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
