{"id":"https://openalex.org/W4379116015","doi":"https://doi.org/10.23919/date56975.2023.10137073","title":"Quantization-Aware Neural Architecture Search with Hyperparameter Optimization for Industrial Predictive Maintenance Applications","display_name":"Quantization-Aware Neural Architecture Search with Hyperparameter Optimization for Industrial Predictive Maintenance Applications","publication_year":2023,"publication_date":"2023-04-01","ids":{"openalex":"https://openalex.org/W4379116015","doi":"https://doi.org/10.23919/date56975.2023.10137073"},"language":"en","primary_location":{"id":"doi:10.23919/date56975.2023.10137073","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date56975.2023.10137073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043133033","display_name":"Nick van de Waterlaat","orcid":"https://orcid.org/0000-0002-4577-6481"},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nick van de Waterlaat","raw_affiliation_strings":["NXP Semiconductors,Eindhoven,The Netherlands","NXP Semiconductors, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I109147379"]},{"raw_affiliation_string":"NXP Semiconductors, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I109147379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090026131","display_name":"Sebastian Vogel","orcid":"https://orcid.org/0000-0002-9625-8510"},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sebastian Vogel","raw_affiliation_strings":["NXP Semiconductors,Eindhoven,The Netherlands","NXP Semiconductors, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I109147379"]},{"raw_affiliation_string":"NXP Semiconductors, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I109147379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019256901","display_name":"Hiram Rayo Torres Rodriguez","orcid":"https://orcid.org/0000-0003-1202-4854"},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hiram Rayo Torres Rodriguez","raw_affiliation_strings":["NXP Semiconductors,Eindhoven,The Netherlands","NXP Semiconductors, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I109147379"]},{"raw_affiliation_string":"NXP Semiconductors, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I109147379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056289030","display_name":"Willem P. Sanberg","orcid":"https://orcid.org/0000-0003-0118-2048"},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Willem Sanberg","raw_affiliation_strings":["NXP Semiconductors,Eindhoven,The Netherlands","NXP Semiconductors, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I109147379"]},{"raw_affiliation_string":"NXP Semiconductors, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I109147379"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035751175","display_name":"G. H. O. Daalderop","orcid":null},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gerardo Daalderop","raw_affiliation_strings":["NXP Semiconductors,Eindhoven,The Netherlands","NXP Semiconductors, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I109147379"]},{"raw_affiliation_string":"NXP Semiconductors, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I109147379"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I109147379"],"apc_list":null,"apc_paid":null,"fwci":0.1214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37415182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9980999827384949,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.7912454605102539},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7659963369369507},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7290526628494263},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6177473068237305},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5244802832603455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5041130781173706},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49723008275032043},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.48021039366722107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43912553787231445},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12716278433799744},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1214083731174469},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.08213931322097778},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07152637839317322},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.07002431154251099}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912454605102539},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7659963369369507},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7290526628494263},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6177473068237305},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5244802832603455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5041130781173706},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49723008275032043},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.48021039366722107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43912553787231445},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12716278433799744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1214083731174469},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.08213931322097778},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07152637839317322},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.07002431154251099}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date56975.2023.10137073","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date56975.2023.10137073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2792764867","https://openalex.org/W2963122961","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W4295309597","https://openalex.org/W4210794429","https://openalex.org/W4280535922","https://openalex.org/W4313854490","https://openalex.org/W4309113015","https://openalex.org/W4223456145","https://openalex.org/W3199608561","https://openalex.org/W1629725936","https://openalex.org/W4283697347","https://openalex.org/W4304128395"],"abstract_inverted_index":{"Optimizing":[0],"the":[1,13,23,86,118],"efficiency":[2,53,73,98,116],"of":[3,26,88],"neural":[4,135],"networks":[5,50,136],"is":[6,40,128],"cru-cial":[7],"for":[8,22,48,51,64,112,133,137],"ubiquitous":[9],"machine":[10],"learning":[11],"on":[12,77,117,139],"edge.":[14],"However,":[15],"it":[16,46],"requires":[17],"specialized":[18],"expertise":[19],"to":[20,36,96,106],"account":[21],"wide":[24],"variety":[25],"applications,":[27],"edge":[28,141],"devices,":[29],"and":[30,54,74,90],"deployment":[31,138],"scenarios.":[32],"An":[33],"attractive":[34],"approach":[35],"mitigate":[37],"this":[38,83],"bottleneck":[39],"Neural":[41],"Architecture":[42],"Search":[43],"(NAS),":[44],"as":[45,107],"allows":[47,111],"optimizing":[49,134],"both":[52],"task":[55,75],"performance.":[56],"This":[57],"work":[58,84,124],"shows":[59,125],"that":[60,126],"including":[61],"hyperparameter":[62,91],"optimization":[63,92],"training-related":[65],"parameters":[66],"alongside":[67],"NAS":[68,89,109],"enables":[69],"substantial":[70],"improvements":[71,114],"in":[72,115,143],"performance":[76],"a":[78,129],"predictive":[79,119],"maintenance":[80,120],"task.":[81,121],"Furthermore,":[82],"extends":[85],"combination":[87],"with":[93],"INT8":[94],"quantization":[95],"enhance":[97],"further.":[99],"Our":[100],"combined":[101],"approach,":[102],"which":[103],"we":[104],"refer":[105],"Quantization-Aware":[108],"(QA-NAS),":[110],"further":[113],"Consequently,":[122],"our":[123],"QA-NAS":[127],"promising":[130],"research":[131],"direction":[132],"resource-constrained":[140],"devices":[142],"industrial":[144],"applications.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
