{"id":"https://openalex.org/W4289713646","doi":"https://doi.org/10.1109/melecon53508.2022.9842904","title":"You Only Hear Once: Lightweight In-Network AI Design for Multi-object Anomaly Detection","display_name":"You Only Hear Once: Lightweight In-Network AI Design for Multi-object Anomaly Detection","publication_year":2022,"publication_date":"2022-06-14","ids":{"openalex":"https://openalex.org/W4289713646","doi":"https://doi.org/10.1109/melecon53508.2022.9842904"},"language":"en","primary_location":{"id":"doi:10.1109/melecon53508.2022.9842904","doi":"https://doi.org/10.1109/melecon53508.2022.9842904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/melecon53508.2022.9842904","pdf_url":null,"source":{"id":"https://openalex.org/S4363607984","display_name":"IEEE Mediterranean Electrotechnical Conference (MELECON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5013211654","display_name":"Huanzhuo Wu","orcid":"https://orcid.org/0000-0003-3482-6698","observed_orcids":["https://orcid.org/0000-0003-3482-6698"]},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Huanzhuo Wu","raw_affiliation_strings":["Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103569329","display_name":"Jia He","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jia He","raw_affiliation_strings":["Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001591053","display_name":"M\u00e1t\u00e9 T\u00f6m\u00f6sk\u00f6zi","orcid":"https://orcid.org/0000-0002-4745-6641","observed_orcids":["https://orcid.org/0000-0002-4745-6641"]},"institutions":[{"id":"https://openalex.org/I4405267400","display_name":"Centre for Tactile Internet with Human-in-the-Loop","ror":"https://ror.org/02kfbaj13","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4405267400","https://openalex.org/I78650965"]},{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mate Tomoskozi","raw_affiliation_strings":["Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany","Centre for Tactile Internet with Human-in-the-Loop (CeTI)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"Centre for Tactile Internet with Human-in-the-Loop (CeTI)","institution_ids":["https://openalex.org/I4405267400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070146566","display_name":"Jiajing Zhang","orcid":"https://orcid.org/0000-0002-5222-372X","observed_orcids":["https://orcid.org/0000-0002-5222-372X"]},"institutions":[{"id":"https://openalex.org/I4405267400","display_name":"Centre for Tactile Internet with Human-in-the-Loop","ror":"https://ror.org/02kfbaj13","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4405267400","https://openalex.org/I78650965"]},{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jiajing Zhang","raw_affiliation_strings":["Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany","Centre for Tactile Internet with Human-in-the-Loop (CeTI)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"Centre for Tactile Internet with Human-in-the-Loop (CeTI)","institution_ids":["https://openalex.org/I4405267400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023936439","display_name":"Frank H. P. Fitzek","orcid":"https://orcid.org/0000-0001-8469-9573","observed_orcids":["https://orcid.org/0000-0001-8469-9573"]},"institutions":[{"id":"https://openalex.org/I4405267400","display_name":"Centre for Tactile Internet with Human-in-the-Loop","ror":"https://ror.org/02kfbaj13","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4405267400","https://openalex.org/I78650965"]},{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank H. P. Fitzek","raw_affiliation_strings":["Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany","Centre for Tactile Internet with Human-in-the-Loop (CeTI)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t,Deutsche Telekom Chair of Communication Networks,Dresden,Germany","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"Centre for Tactile Internet with Human-in-the-Loop (CeTI)","institution_ids":["https://openalex.org/I4405267400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2095,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39292485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1217","last_page":"1222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.28049999475479126,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.28049999475479126,"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/T11309","display_name":"Music and Audio Processing","score":0.24950000643730164,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.05810000002384186,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/anomaly-detection","display_name":"anomaly detection","score":0.7760000228881836},{"id":"https://openalex.org/keywords/anomalous-sound-detection","display_name":"anomalous sound detection","score":0.5709999799728394},{"id":"https://openalex.org/keywords/programmable-network-devices","display_name":"programmable network devices","score":0.6320000290870667},{"id":"https://openalex.org/keywords/end-to-end-feature-extraction","display_name":"end-to-end feature extraction","score":0.8650000095367432},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.5569999814033508},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"predictive maintenance","score":0.6389999985694885},{"id":"https://openalex.org/keywords/smart-factory","display_name":"smart factory","score":0.8270000219345093},{"id":"https://openalex.org/keywords/inference-latency-reduction","display_name":"inference latency reduction","score":0.5600000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785808801651001},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6612498760223389},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4430188536643982},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4430179297924042},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4395361542701721},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4130188226699829},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3984462320804596},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.321567565202713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28749680519104004},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1045399010181427},{"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/melecon53508.2022.9842904","doi":"https://doi.org/10.1109/melecon53508.2022.9842904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/melecon53508.2022.9842904","pdf_url":null,"source":{"id":"https://openalex.org/S4363607984","display_name":"IEEE Mediterranean Electrotechnical Conference (MELECON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2067453331","https://openalex.org/W2122646361","https://openalex.org/W2141224535","https://openalex.org/W2157364932","https://openalex.org/W2165880761","https://openalex.org/W2194775991","https://openalex.org/W2587885302","https://openalex.org/W2612445135","https://openalex.org/W2952218014","https://openalex.org/W2963163009","https://openalex.org/W2982294822","https://openalex.org/W2994866563","https://openalex.org/W3028504644","https://openalex.org/W3134043851","https://openalex.org/W3153512259","https://openalex.org/W3153854431","https://openalex.org/W3182140208","https://openalex.org/W3185629195","https://openalex.org/W4225552021","https://openalex.org/W4226138087","https://openalex.org/W4247480362"],"related_works":["https://openalex.org/W3152187070","https://openalex.org/W4409013549","https://openalex.org/W4400811037","https://openalex.org/W4406216683","https://openalex.org/W4285815083","https://openalex.org/W4392152962","https://openalex.org/W3182140208","https://openalex.org/W3015898873","https://openalex.org/W4403390258","https://openalex.org/W4225552021"],"abstract_inverted_index":{"With":[0],"the":[1,8,29,43,132,137,144,151,160],"rapid":[2],"evolution":[3],"of":[4,10,31,153],"programmable":[5,15,26],"network":[6,11],"devices,":[7],"transformation":[9],"infrastructure":[12],"to":[13,65],"a":[14,20,23,100,113],"computing":[16],"platform":[17],"has":[18],"become":[19],"reality.":[21],"As":[22],"result,":[24],"such":[25,55],"networks":[27],"make":[28],"deployment":[30],"in-network":[32],"AI":[33],"possible":[34],"for":[35,85],"achieving":[36],"predictive":[37],"maintenance,":[38],"which":[39],"in":[40,50],"turn":[41],"enables":[42,150],"much":[44],"desired":[45],"(sound-based)":[46],"time-critical":[47],"anomaly":[48],"detection":[49,58,89,126,145,157],"modern":[51],"smart":[52],"factories.":[53],"However,":[54],"abnormal":[56],"sound":[57,88,156],"systems":[59,158],"face":[60],"high":[61,67,125],"computational":[62],"complexity":[63,123],"due":[64],"their":[66],"density":[68],"and":[69,90,124,142],"multi-source":[70,102],"nature.":[71],"In":[72,110],"this":[73],"paper,":[74],"we":[75,119],"present":[76],"our":[77],"novel":[78],"You":[79],"only":[80],"hear":[81],"once":[82],"(Yoho)":[83],"design":[84,117],"multi-target":[86],"anomalous":[87,155],"end-to-end":[91],"feature":[92],"extraction.":[93],"Yoho":[94],"can":[95,135],"detect":[96],"anomalies":[97],"directly":[98],"from":[99],"mixed":[101],"acoustic":[103],"signal":[104],"without":[105],"recovering":[106],"each":[107],"source":[108],"data.":[109],"addition,":[111],"with":[112],"lightweight":[114],"dual-path":[115],"backbone":[116],"(Yoho-Dual-Path),":[118],"achieve":[120],"low":[121],"model":[122],"accuracy.":[127],"Our":[128],"experiments":[129],"show":[130],"that":[131],"proposed":[133],"solution":[134],"reduce":[136],"inference":[138],"time":[139],"by":[140,147],"77%":[141],"improve":[143],"accuracy":[146],"51%.":[148],"This":[149],"integration":[152],"intelligent":[154],"into":[159],"network.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-08-04T00:00:00"}
