{"id":"https://openalex.org/W3094904775","doi":"https://doi.org/10.3390/app10217783","title":"Hyperspectral Imaging for Minced Meat Classification Using Nonlinear Deep Features","display_name":"Hyperspectral Imaging for Minced Meat Classification Using Nonlinear Deep Features","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3094904775","doi":"https://doi.org/10.3390/app10217783","mag":"3094904775"},"language":"en","primary_location":{"id":"doi:10.3390/app10217783","doi":"https://doi.org/10.3390/app10217783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app10217783","pdf_url":"https://www.mdpi.com/2076-3417/10/21/7783/pdf?version=1604398697","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/10/21/7783/pdf?version=1604398697","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020377550","display_name":"Hamail Ayaz","orcid":"https://orcid.org/0000-0003-3407-9207","observed_orcids":["https://orcid.org/0000-0003-3407-9207"]},"institutions":[{"id":"https://openalex.org/I4210102737","display_name":"Khwaja Fareed University of Engineering and Information Technology","ror":"https://ror.org/0161dyt30","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210102737"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Hamail Ayaz","raw_affiliation_strings":["Department of Computer Engineering, Khwaja Freed University of Engineering and Technology (KFUEIT), Rahim Yar Khan 64200, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-3407-9207","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Khwaja Freed University of Engineering and Technology (KFUEIT), Rahim Yar Khan 64200, Pakistan","institution_ids":["https://openalex.org/I4210102737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044102676","display_name":"Muhammad Imran Ahmad","orcid":"https://orcid.org/0000-0002-3320-2261","observed_orcids":["https://orcid.org/0000-0002-3320-2261","https://orcid.org/0000-0002-2626-9214"]},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Muhammad Ahmad","raw_affiliation_strings":["Department of Computer Sciences, National University of Computer and Emerging Sciences, Islamabad, Chiniot-Faisalabad Campus, Chiniot 35400, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-3320-2261","affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, National University of Computer and Emerging Sciences, Islamabad, Chiniot-Faisalabad Campus, Chiniot 35400, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075175655","display_name":"Manuel Mazzara","orcid":"https://orcid.org/0000-0002-3860-4948","observed_orcids":["https://orcid.org/0000-0002-3860-4948"]},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Manuel Mazzara","raw_affiliation_strings":["Institute of Software Development and Engineering, Innopolis University, 420500 Innopolis, Russia"],"raw_orcid":"https://orcid.org/0000-0002-3860-4948","affiliations":[{"raw_affiliation_string":"Institute of Software Development and Engineering, Innopolis University, 420500 Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032734267","display_name":"Ahmed Sohaib","orcid":"https://orcid.org/0000-0001-5831-3139","observed_orcids":["https://orcid.org/0000-0001-5831-3139"]},"institutions":[{"id":"https://openalex.org/I4210102737","display_name":"Khwaja Fareed University of Engineering and Information Technology","ror":"https://ror.org/0161dyt30","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210102737"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ahmed Sohaib","raw_affiliation_strings":["Department of Computer Engineering, Khwaja Freed University of Engineering and Technology (KFUEIT), Rahim Yar Khan 64200, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Khwaja Freed University of Engineering and Technology (KFUEIT), Rahim Yar Khan 64200, Pakistan","institution_ids":["https://openalex.org/I4210102737"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044102676"],"corresponding_institution_ids":["https://openalex.org/I201384688"],"apc_list":{"value":1800,"currency":"CHF","value_usd":1901},"apc_paid":{"value":1800,"currency":"CHF","value_usd":1901},"fwci":1.855,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.83611492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"10","issue":"21","first_page":"7783","last_page":"7783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9814000129699707,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9814000129699707,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.011500000022351742,"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/T10333","display_name":"Meat and Animal Product Quality","score":0.0019000000320374966,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"hyperspectral imaging","score":0.9049999713897705},{"id":"https://openalex.org/keywords/food-fraud-detection","display_name":"food fraud detection","score":0.7099999785423279},{"id":"https://openalex.org/keywords/meat-adulteration","display_name":"meat adulteration","score":0.7239999771118164},{"id":"https://openalex.org/keywords/myoglobin","display_name":"myoglobin","score":0.7580000162124634},{"id":"https://openalex.org/keywords/3d-convolutional-neural-networks","display_name":"3D convolutional neural networks","score":0.8709999918937683},{"id":"https://openalex.org/keywords/nonlinear-feature-extraction","display_name":"nonlinear feature extraction","score":0.8410000205039978},{"id":"https://openalex.org/keywords/spectral-preprocessing","display_name":"spectral preprocessing","score":0.6970000267028809},{"id":"https://openalex.org/keywords/roi-extraction","display_name":"region of interest extraction","score":0.7409999966621399}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8910739421844482},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.664056658744812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6426112055778503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5613307952880859},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5080592632293701},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4111030101776123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3305630087852478}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app10217783","doi":"https://doi.org/10.3390/app10217783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app10217783","pdf_url":"https://www.mdpi.com/2076-3417/10/21/7783/pdf?version=1604398697","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ed574903a0f940efabb85fce076b2d8d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/ed574903a0f940efabb85fce076b2d8d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 10, Iss 21, p 7783 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app10217783","doi":"https://doi.org/10.3390/app10217783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app10217783","pdf_url":"https://www.mdpi.com/2076-3417/10/21/7783/pdf?version=1604398697","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5666999816894531,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094904775.pdf","grobid_xml":"https://content.openalex.org/works/W3094904775.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1972399486","https://openalex.org/W1988386267","https://openalex.org/W1995283715","https://openalex.org/W1999437504","https://openalex.org/W2031257684","https://openalex.org/W2038211274","https://openalex.org/W2046133769","https://openalex.org/W2065084513","https://openalex.org/W2085289658","https://openalex.org/W2095705004","https://openalex.org/W2116146912","https://openalex.org/W2150823344","https://openalex.org/W2189355247","https://openalex.org/W2257669061","https://openalex.org/W2528938896","https://openalex.org/W2572303978","https://openalex.org/W2588443353","https://openalex.org/W2622748986","https://openalex.org/W2623839652","https://openalex.org/W2789935837","https://openalex.org/W2792035262","https://openalex.org/W2802404814","https://openalex.org/W2887517611","https://openalex.org/W2897722020","https://openalex.org/W2902278104","https://openalex.org/W2905421928","https://openalex.org/W2905860114","https://openalex.org/W2913510798","https://openalex.org/W2921979247","https://openalex.org/W2941813037","https://openalex.org/W2948293494","https://openalex.org/W2952668899","https://openalex.org/W3000090125","https://openalex.org/W3000444826","https://openalex.org/W3040782625","https://openalex.org/W3090223510"],"related_works":["https://openalex.org/W3090223510","https://openalex.org/W3025928057","https://openalex.org/W2802404814","https://openalex.org/W7027808833","https://openalex.org/W7014915079","https://openalex.org/W2922313551","https://openalex.org/W2790071721","https://openalex.org/W4386428798","https://openalex.org/W3026533430","https://openalex.org/W2913510798"],"abstract_inverted_index":{"Minced":[0],"meat":[1,15,31,92,102],"substitution":[2],"is":[3,126],"one":[4],"of":[5,10,29,47,59,106,123,132,172],"the":[6,14,25,44,48,57,60,67,75,89,101,130],"most":[7],"common":[8],"forms":[9],"food":[11],"fraud":[12],"in":[13,100],"industry.":[16],"Recently,":[17],"Hyperspectral":[18,115],"Imaging":[19],"(HSI)":[20],"has":[21],"been":[22],"used":[23],"for":[24,88,155],"classification":[26],"and":[27,42,71,135,159],"identification":[28],"minced":[30,91],"types.":[32],"However,":[33],"conventional":[34],"methods":[35,52],"are":[36,110,146],"based":[37],"only":[38,96],"on":[39],"spectral":[40,136],"information":[41,70],"ignore":[43],"spatial":[45,76],"variability":[46],"data.":[49],"Moreover,":[50],"these":[51,142],"first":[53],"tend":[54],"to":[55,63,128],"reduce":[56],"size":[58],"data,":[61],"which":[62],"some":[64],"extent":[65],"ignores":[66],"abstract":[68],"level":[69],"does":[72],"not":[73],"preserve":[74],"information.":[77],"Therefore,":[78],"this":[79],"work":[80],"proposes":[81],"a":[82,121,149],"novel":[83],"Isos-bestic":[84],"wavelength":[85],"reduction":[86],"method":[87],"different":[90],"types,":[93],"by":[94],"retaining":[95],"Myoglobin":[97],"pigments":[98],"(Mb)":[99],"spectra.":[103],"A":[104],"total":[105],"60":[107],"HSI":[108,119,144],"cubes":[109,145],"acquired":[111],"using":[112],"Fx":[113],"10":[114],"sensor.":[116],"For":[117],"each":[118],"cube,":[120],"set":[122],"preprocessing":[124],"schemes":[125],"applied":[127],"extract":[129],"Region":[131],"Interest":[133],"(ROI)":[134],"preprocessing,":[137],"i.e.,":[138],"Golay":[139],"filtering.":[140],"Later,":[141],"preprocessed":[143],"fed":[147],"into":[148],"3D-Convolutional":[150],"Neural":[151],"Network":[152],"(3D-CNN)":[153],"model":[154],"nonlinear":[156],"feature":[157],"extraction":[158],"classification.":[160],"The":[161],"proposed":[162],"pipeline":[163],"outperformed":[164],"several":[165],"state-of-the-art":[166],"methods,":[167],"with":[168],"an":[169],"overall":[170],"accuracy":[171],"94.0%.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-11-09T00:00:00"}