{"id":"https://openalex.org/W4413144737","doi":"https://doi.org/10.1109/sas65169.2025.11105103","title":"Robust Foreign Object Detection in Aqueous Food Media using Circumferential-averaged Surface Electric Potential and Neural Networks","display_name":"Robust Foreign Object Detection in Aqueous Food Media using Circumferential-averaged Surface Electric Potential and Neural Networks","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4413144737","doi":"https://doi.org/10.1109/sas65169.2025.11105103"},"language":"en","primary_location":{"id":"doi:10.1109/sas65169.2025.11105103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas65169.2025.11105103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Sensors Applications Symposium (SAS)","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/A5041781495","display_name":"Kin Wai Lee","orcid":"https://orcid.org/0000-0002-2612-5771"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Kin Wai Lee","raw_affiliation_strings":["University of Canterbury,Electrical and Computer Engineering,Christchurch,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Canterbury,Electrical and Computer Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048027374","display_name":"Michael Hayes","orcid":"https://orcid.org/0000-0002-6712-9509"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Michael Hayes","raw_affiliation_strings":["University of Canterbury,Electrical and Computer Engineering,Christchurch,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Canterbury,Electrical and Computer Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113950835","display_name":"Bill Heffernan","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bill Heffernan","raw_affiliation_strings":["University of Canterbury,Electric Power Engineering Centre,Christchurch,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Canterbury,Electric Power Engineering Centre,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049612660","display_name":"Philip J. Bones","orcid":"https://orcid.org/0000-0003-1611-7601"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Philip Bones","raw_affiliation_strings":["University of Canterbury,Electrical and Computer Engineering,Christchurch,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Canterbury,Electrical and Computer Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091024626","display_name":"Jaco Fourie","orcid":"https://orcid.org/0000-0002-7734-8262"},"institutions":[{"id":"https://openalex.org/I4210114520","display_name":"Lincoln Agritech (New Zealand)","ror":"https://ror.org/01qb09m39","country_code":"NZ","type":"company","lineage":["https://openalex.org/I184746854","https://openalex.org/I4210114520"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Jaco Fourie","raw_affiliation_strings":["Lincoln Agritech,Christchurch,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lincoln Agritech,Christchurch,New Zealand","institution_ids":["https://openalex.org/I4210114520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109739351","display_name":"Jarrod Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Jarrod Zhu","raw_affiliation_strings":["University of Canterbury,Electrical and Computer Engineering,Christchurch,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Canterbury,Electrical and Computer Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.3651,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.98264121,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9323999881744385,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9089000225067139,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5603402853012085},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5040494799613953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4704776406288147},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.452725887298584},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4292459487915039},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4148064851760864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3990882635116577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3652196526527405},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3393397927284241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2630414664745331},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23076501488685608},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1472109854221344},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07078614830970764}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5603402853012085},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5040494799613953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4704776406288147},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.452725887298584},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4292459487915039},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4148064851760864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3990882635116577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3652196526527405},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3393397927284241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2630414664745331},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23076501488685608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1472109854221344},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07078614830970764}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sas65169.2025.11105103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas65169.2025.11105103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Sensors Applications Symposium (SAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W2898210368","https://openalex.org/W4239098401","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2382480268","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Current":[0],"approaches":[1],"for":[2,33,150],"detecting":[3,34],"foreign":[4],"objects":[5],"(FOs)":[6],"in":[7,100,117,131,156],"the":[8,66,124,141],"food":[9,157],"production":[10],"process":[11],"are":[12],"mostly":[13],"based":[14,58],"on":[15,59,109],"mechanical":[16],"separation":[17],"or":[18],"imaging":[19],"techniques":[20],"that":[21,46,123,140],"only":[22],"detect":[23,54],"specific":[24],"types":[25],"of":[26,36],"FOs,":[27],"which":[28,92],"may":[29],"have":[30,146],"limited":[31],"applicability":[32],"FOs":[35,57],"different":[37],"conductivities,":[38],"shapes,":[39],"and":[40,55,97,113,135,152],"sizes.":[41],"Previous":[42],"work":[43],"has":[44],"shown":[45],"convolutional":[47],"neural":[48],"network":[49],"(CNN)":[50],"classifiers":[51],"can":[52,68],"reliably":[53],"classify":[56],"simulated":[60,111],"surface":[61,83],"potential":[62,84],"image":[63,85],"data,":[64,91],"but":[65],"performance":[67,130],"be":[69],"susceptible":[70],"to":[71,81],"high":[72],"noise":[73,98],"interference.":[74],"This":[75,138],"paper":[76],"introduces":[77],"a":[78,118,147],"straightforward":[79],"approach":[80,144],"transform":[82],"data":[86,95,112,115],"into":[87],"one-dimensional":[88],"circumferential-averaged":[89],"signal":[90,106],"effectively":[93],"reduces":[94],"dimensionality":[96],"variance":[99],"signals,":[101],"while":[102],"preserving":[103],"important":[104],"spatial":[105],"characteristics.":[107],"Evaluation":[108],"unseen":[110],"real":[114],"acquired":[116],"controlled":[119],"laboratory":[120],"environment":[121],"demonstrates":[122],"circumferential":[125],"averaging":[126],"technique":[127],"yields":[128],"promising":[129],"both":[132],"FO":[133,154],"detection":[134,155],"classification":[136],"tasks.":[137],"suggests":[139],"new":[142],"lightweight":[143],"could":[145],"significant":[148],"advantage":[149],"fast":[151],"reliable":[153],"processing":[158],"plants.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}