{"id":"https://openalex.org/W3013558019","doi":"https://doi.org/10.1145/3379310.3379317","title":"Identification and Classification of Sashimi Food Using Multispectral Technology","display_name":"Identification and Classification of Sashimi Food Using Multispectral Technology","publication_year":2020,"publication_date":"2020-01-17","ids":{"openalex":"https://openalex.org/W3013558019","doi":"https://doi.org/10.1145/3379310.3379317","mag":"3013558019"},"language":"en","primary_location":{"id":"doi:10.1145/3379310.3379317","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3379310.3379317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","raw_type":"proceedings-article"},"type":"article","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/A5040323750","display_name":"Ismail Parewai","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ismail Parewai","raw_affiliation_strings":["Department of Creative Informatics, Kyushu Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Creative Informatics, Kyushu Institute of Technology, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088224770","display_name":"Mansur As","orcid":"https://orcid.org/0000-0002-2866-7021"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mansur As","raw_affiliation_strings":["Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001584274","display_name":"Tsunenori Mine","orcid":"https://orcid.org/0000-0002-7462-8074"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsunenori Mine","raw_affiliation_strings":["Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089323270","display_name":"Mario Koeppen","orcid":"https://orcid.org/0000-0002-3944-6806"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mario Koeppen","raw_affiliation_strings":["Kyushu Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040323750"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":0.2478,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.45341002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9758999943733215,"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":0.9758999943733215,"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/multispectral-image","display_name":"Multispectral image","score":0.899522066116333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7440937757492065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6417878866195679},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.631405234336853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5774849057197571},{"id":"https://openalex.org/keywords/grey-level","display_name":"Grey level","score":0.5079630017280579},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5077310800552368},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5022697448730469},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49531498551368713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4877265393733978},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48762431740760803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2428458034992218}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.899522066116333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7440937757492065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417878866195679},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.631405234336853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5774849057197571},{"id":"https://openalex.org/C2994222927","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grey level","level":3,"score":0.5079630017280579},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5077310800552368},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5022697448730469},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49531498551368713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4877265393733978},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48762431740760803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2428458034992218},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3379310.3379317","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3379310.3379317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W183857967","https://openalex.org/W650260511","https://openalex.org/W1570292122","https://openalex.org/W1988953902","https://openalex.org/W2100114133","https://openalex.org/W2115058099","https://openalex.org/W2131415551","https://openalex.org/W2145106362","https://openalex.org/W2152936049","https://openalex.org/W2190340912","https://openalex.org/W2516363142","https://openalex.org/W2909624832","https://openalex.org/W2917883159","https://openalex.org/W2932203713","https://openalex.org/W3159137546","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W2119358129","https://openalex.org/W2623978779","https://openalex.org/W2378029956","https://openalex.org/W2004350592","https://openalex.org/W1503124536"],"abstract_inverted_index":{"?Food":[0],"quality":[1],"inspection":[2,12,41],"is":[3,13,106],"an":[4,32],"essential":[5],"factor":[6],"in":[7,35,128],"our":[8],"daily":[9],"lives.":[10],"Food":[11],"analyzing":[14],"heterogeneous":[15],"food":[16,46,115],"data":[17],"from":[18],"different":[19],"sources":[20],"for":[21,39,80,110],"perception,":[22],"recognition,":[23],"judgment,":[24],"and":[25,42,62,88,116],"monitoring.":[26],"This":[27,100],"study":[28,101],"aims":[29],"to":[30,142],"provide":[31],"accurate":[33],"system":[34,64,109],"image":[36],"processing":[37],"techniques":[38],"the":[40,60,73,83,89,111,117,122,126,129,133,143],"classification":[43,90,130],"of":[44,82,86,113],"sashimi":[45,114],"damage":[47],"based":[48,58],"on":[49,59],"detecting":[50],"external":[51,54],"data.":[52],"The":[53],"texture":[55,84,135],"was":[56,66,92],"identified":[57],"visible":[61,141],"invisible":[63,123],"that":[65,103,121,137],"acquired":[67],"using":[68,94],"multispectral":[69,104],"technology.":[70],"We":[71],"proposed":[72],"Grey":[74],"Level":[75],"Co-occurrence":[76],"Matrix":[77],"(GLCM)":[78],"model":[79],"analysis":[81],"features":[85,136],"images":[87],"process":[91],"performed":[93],"Artificial":[95],"Neural":[96],"Network":[97],"(ANN)":[98],"method.":[99],"showed":[102],"technology":[105],"a":[107],"useful":[108],"assessment":[112],"experimental":[118],"also":[119],"indicates":[120],"channels":[124],"have":[125],"potential":[127],"model,":[131],"since":[132],"hidden":[134],"are":[138],"not":[139],"clearly":[140],"human":[144],"eye.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}