{"id":"https://openalex.org/W2396870213","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737757","title":"A fuzzy-wavelet neural network model for the detection of meat spoilage using an electronic nose","display_name":"A fuzzy-wavelet neural network model for the detection of meat spoilage using an electronic nose","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2396870213","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737757","mag":"2396870213"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2016.7737757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://westminsterresearch.westminster.ac.uk/download/4e57f7348da57af66d68281a20264cd098057af1c0892e6a72ff27ae0164848f/539238/enose_wcci1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070407294","display_name":"Vassilis Kodogiannis","orcid":"https://orcid.org/0000-0002-3862-0278"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Vassilis S. Kodogiannis","raw_affiliation_strings":["Faculty of Science and Technology, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072892343","display_name":"Abeer Alshejari","orcid":"https://orcid.org/0009-0008-3567-137X"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abeer Alshejari","raw_affiliation_strings":["Faculty of Science and Technology, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070407294"],"corresponding_institution_ids":["https://openalex.org/I94951947"],"apc_list":null,"apc_paid":null,"fwci":0.8759,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7420123,"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":"710","last_page":"717"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"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":1.0,"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/T10333","display_name":"Meat and Animal Product Quality","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.9103225469589233},{"id":"https://openalex.org/keywords/food-spoilage","display_name":"Food spoilage","score":0.7065016031265259},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5563517808914185},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5264790058135986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5264005661010742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5101414322853088},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4780295789241791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4675988554954529},{"id":"https://openalex.org/keywords/meat-spoilage","display_name":"Meat spoilage","score":0.44037124514579773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4361702799797058},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4105418920516968},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10475322604179382}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.9103225469589233},{"id":"https://openalex.org/C147490202","wikidata":"https://www.wikidata.org/wiki/Q5465528","display_name":"Food spoilage","level":3,"score":0.7065016031265259},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5563517808914185},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5264790058135986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5264005661010742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5101414322853088},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4780295789241791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4675988554954529},{"id":"https://openalex.org/C89532306","wikidata":"https://www.wikidata.org/wiki/Q6804281","display_name":"Meat spoilage","level":4,"score":0.44037124514579773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4361702799797058},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4105418920516968},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10475322604179382},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C523546767","wikidata":"https://www.wikidata.org/wiki/Q10876","display_name":"Bacteria","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fuzz-ieee.2016.7737757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:westminsterresearch.wmin.ac.uk:16781","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:westminsterresearch.westminster.ac.uk:9w2w8","is_oa":true,"landing_page_url":"https://doi.org/10.1109/FUZZ-IEEE.2016.7737757","pdf_url":"https://westminsterresearch.westminster.ac.uk/download/4e57f7348da57af66d68281a20264cd098057af1c0892e6a72ff27ae0164848f/539238/enose_wcci1.pdf","source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference-paper"}],"best_oa_location":{"id":"pmh:oai:westminsterresearch.westminster.ac.uk:9w2w8","is_oa":true,"landing_page_url":"https://doi.org/10.1109/FUZZ-IEEE.2016.7737757","pdf_url":"https://westminsterresearch.westminster.ac.uk/download/4e57f7348da57af66d68281a20264cd098057af1c0892e6a72ff27ae0164848f/539238/enose_wcci1.pdf","source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference-paper"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323149","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42"},{"id":"https://openalex.org/F4320324726","display_name":"Agricultural University of Athens","ror":"https://ror.org/03xawq568"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2396870213.pdf","grobid_xml":"https://content.openalex.org/works/W2396870213.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1491893360","https://openalex.org/W1966447169","https://openalex.org/W1969605191","https://openalex.org/W1978048009","https://openalex.org/W1978371528","https://openalex.org/W1980627576","https://openalex.org/W2026908939","https://openalex.org/W2034677791","https://openalex.org/W2039222602","https://openalex.org/W2054834816","https://openalex.org/W2060451721","https://openalex.org/W2076266098","https://openalex.org/W2088088878","https://openalex.org/W2169443478","https://openalex.org/W2252592455"],"related_works":["https://openalex.org/W3137460695","https://openalex.org/W3214637860","https://openalex.org/W2283618614","https://openalex.org/W3048271233","https://openalex.org/W1962577159","https://openalex.org/W4401993263","https://openalex.org/W2376508020","https://openalex.org/W2969356085","https://openalex.org/W2046238803","https://openalex.org/W3160291800"],"abstract_inverted_index":{"Food":[0],"product":[1],"safety":[2],"is":[3,67],"one":[4],"of":[5,13,18,30,56,62],"the":[6,11,28,54,63,75,101],"most":[7],"promising":[8],"areas":[9],"for":[10,53],"application":[12],"electronic":[14,21],"noses.":[15],"The":[16,59],"performance":[17],"a":[19,42,49,109],"portable":[20],"nose":[22],"has":[23],"been":[24],"evaluated":[25],"in":[26,74,113],"monitoring":[27],"spoilage":[29],"beef":[31,72],"fillet":[32],"stored":[33],"aerobically":[34],"at":[35],"different":[36],"storage":[37],"temperatures.":[38],"This":[39],"paper":[40],"proposes":[41],"fuzzy-wavelet":[43],"neural":[44],"network":[45],"model":[46],"which":[47],"incorporates":[48],"clustering":[50],"pre-processing":[51],"stage":[52],"definition":[55],"fuzzy":[57],"rules.":[58],"dual":[60],"purpose":[61],"proposed":[64,102],"modeling":[65,103],"approach":[66],"not":[68],"only":[69],"to":[70,86],"classify":[71],"samples":[73],"respective":[76],"quality":[77],"class":[78],"(i.e.":[79],"fresh,":[80],"semi-fresh":[81],"and":[82],"spoiled),":[83],"but":[84],"also":[85],"predict":[87],"their":[88],"associated":[89],"microbiological":[90],"population":[91],"directly":[92],"from":[93],"volatile":[94],"compounds":[95],"fingerprints.":[96],"Comparison":[97],"results":[98],"indicated":[99],"that":[100],"scheme":[104],"could":[105],"be":[106],"considered":[107],"as":[108],"valuable":[110],"detection":[111],"methodology":[112],"food":[114],"microbiology.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}