{"id":"https://openalex.org/W4320732068","doi":"https://doi.org/10.3390/s23042125","title":"Semi-Autonomic AI LF-NMR Sensor for Industrial Prediction of Edible Oil Oxidation Status","display_name":"Semi-Autonomic AI LF-NMR Sensor for Industrial Prediction of Edible Oil Oxidation Status","publication_year":2023,"publication_date":"2023-02-13","ids":{"openalex":"https://openalex.org/W4320732068","doi":"https://doi.org/10.3390/s23042125","pmid":"https://pubmed.ncbi.nlm.nih.gov/36850723"},"language":"en","primary_location":{"id":"doi:10.3390/s23042125","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23042125","pdf_url":"https://www.mdpi.com/1424-8220/23/4/2125/pdf?version=1677048187","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/4/2125/pdf?version=1677048187","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081147039","display_name":"Tatiana Osheter","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tatiana Osheter","raw_affiliation_strings":["Phyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Phyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024356303","display_name":"Salvatore Campisi\u2010Pinto","orcid":"https://orcid.org/0000-0001-8840-4648"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Salvatore Campisi Pinto","raw_affiliation_strings":["Phyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel"],"raw_orcid":"https://orcid.org/0000-0001-8840-4648","affiliations":[{"raw_affiliation_string":"Phyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012406610","display_name":"C. Randieri","orcid":"https://orcid.org/0000-0001-5300-3561"},"institutions":[{"id":"https://openalex.org/I167322064","display_name":"Universit\u00e0 degli Studi eCampus","ror":"https://ror.org/006maft66","country_code":"IT","type":"education","lineage":["https://openalex.org/I167322064"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cristian Randieri","raw_affiliation_strings":["eCampus University, Via Isimbardi, 10, 22060 Novedrate, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eCampus University, Via Isimbardi, 10, 22060 Novedrate, Italy","institution_ids":["https://openalex.org/I167322064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023840311","display_name":"A. Perrotta","orcid":"https://orcid.org/0000-0002-7996-7139"},"institutions":[{"id":"https://openalex.org/I167322064","display_name":"Universit\u00e0 degli Studi eCampus","ror":"https://ror.org/006maft66","country_code":"IT","type":"education","lineage":["https://openalex.org/I167322064"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Perrotta","raw_affiliation_strings":["eCampus University, Via Isimbardi, 10, 22060 Novedrate, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eCampus University, Via Isimbardi, 10, 22060 Novedrate, Italy","institution_ids":["https://openalex.org/I167322064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112196860","display_name":"Charles Linder","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Charles Linder","raw_affiliation_strings":["Phyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Phyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045414234","display_name":"Zeev Weisman","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Zeev Weisman","raw_affiliation_strings":["Phyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Phyto-Lipid Biotech Lab (PLBL), Department of Biotechnology Engineering, Ben Gurion University of the Negev, Beer Sheva 8499000, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045414234"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":1.6295,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79805535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"4","first_page":"2125","last_page":"2125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"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":0.9994999766349792,"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/T12603","display_name":"NMR spectroscopy and applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5176463723182678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5043171644210815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4610643982887268},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43507158756256104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.433575302362442},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.43217432498931885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4188378155231476},{"id":"https://openalex.org/keywords/food-industry","display_name":"Food industry","score":0.41351139545440674},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3621896505355835},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.35083961486816406},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.32816624641418457},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.13620898127555847}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5176463723182678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5043171644210815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4610643982887268},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43507158756256104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.433575302362442},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.43217432498931885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4188378155231476},{"id":"https://openalex.org/C513059894","wikidata":"https://www.wikidata.org/wiki/Q540912","display_name":"Food industry","level":2,"score":0.41351139545440674},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3621896505355835},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.35083961486816406},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.32816624641418457},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.13620898127555847}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001341","descriptor_name":"Autonomic Nervous System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001341","descriptor_name":"Autonomic Nervous System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001341","descriptor_name":"Autonomic Nervous System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003296","descriptor_name":"Cooking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003296","descriptor_name":"Cooking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003296","descriptor_name":"Cooking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007221","descriptor_name":"Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007221","descriptor_name":"Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007221","descriptor_name":"Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s23042125","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23042125","pdf_url":"https://www.mdpi.com/1424-8220/23/4/2125/pdf?version=1677048187","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36850723","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36850723","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9962559","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9962559","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9962559/pdf/sensors-23-02125.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:726b6fffd37c4c66b1b74b7d5fb66619","is_oa":true,"landing_page_url":"https://doaj.org/article/726b6fffd37c4c66b1b74b7d5fb66619","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,"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":"Sensors, Vol 23, Iss 4, p 2125 (2023)","raw_type":"article"},{"id":"pmh:oai:iris.uniecampus.it:11389/49515","is_oa":true,"landing_page_url":"https://www.mdpi.com/1424-8220/23/4/2125","pdf_url":null,"source":{"id":"https://openalex.org/S4306400077","display_name":"IRIS eCampus Telematic University (Universit\u00e0 degli Studi eCampus)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167322064","host_organization_name":"Universit\u00e0 degli Studi eCampus","host_organization_lineage":["https://openalex.org/I167322064"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/4/2125/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23042125","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23042125","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23042125","pdf_url":"https://www.mdpi.com/1424-8220/23/4/2125/pdf?version=1677048187","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4320732068.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1531821806","https://openalex.org/W1596294641","https://openalex.org/W1836797292","https://openalex.org/W1905265193","https://openalex.org/W1981182593","https://openalex.org/W1981596913","https://openalex.org/W1986990941","https://openalex.org/W2005407922","https://openalex.org/W2035557852","https://openalex.org/W2037788490","https://openalex.org/W2043413905","https://openalex.org/W2066921141","https://openalex.org/W2076283593","https://openalex.org/W2083415491","https://openalex.org/W2084761689","https://openalex.org/W2086516061","https://openalex.org/W2097393706","https://openalex.org/W2120248194","https://openalex.org/W2123306487","https://openalex.org/W2160681814","https://openalex.org/W2194775991","https://openalex.org/W2273379195","https://openalex.org/W2296919737","https://openalex.org/W2320084898","https://openalex.org/W2557419506","https://openalex.org/W2569308263","https://openalex.org/W2588298995","https://openalex.org/W2593116425","https://openalex.org/W2791977271","https://openalex.org/W2793382130","https://openalex.org/W2912459652","https://openalex.org/W2916854732","https://openalex.org/W2949166253","https://openalex.org/W2973215447","https://openalex.org/W2978980369","https://openalex.org/W2990289182","https://openalex.org/W2996385620","https://openalex.org/W3015537910","https://openalex.org/W3044193979","https://openalex.org/W3086971820","https://openalex.org/W3094550259","https://openalex.org/W3100777112","https://openalex.org/W3126548173","https://openalex.org/W3135168232","https://openalex.org/W3160178154","https://openalex.org/W3167894035","https://openalex.org/W4223554527","https://openalex.org/W4224924628","https://openalex.org/W4233243877","https://openalex.org/W4254297188","https://openalex.org/W4294619240","https://openalex.org/W4296267757","https://openalex.org/W4311317674","https://openalex.org/W6632009289"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2767651786","https://openalex.org/W2912288872","https://openalex.org/W564581980","https://openalex.org/W3012393889","https://openalex.org/W3081496756","https://openalex.org/W2002022990","https://openalex.org/W2066259560","https://openalex.org/W4297311452","https://openalex.org/W2963652317"],"abstract_inverted_index":{"The":[0,27,165,179],"evaluation":[1],"of":[2,63,84,140,155,200],"an":[3,188],"oil\u2019s":[4,16,44],"oxidation":[5,78,132,156,163],"status":[6],"during":[7,21],"industrial":[8],"production":[9],"is":[10,32],"highly":[11],"important":[12],"for":[13,42,171,211],"monitoring":[14],"the":[15,58,147,152,198,201],"purity":[17],"and":[18,25,29,39,60,65,90,95,102,137,191,203,206],"nutritional":[19,43],"value":[20],"production,":[22],"transportation,":[23],"storage,":[24],"cooking.":[26],"oil":[28,77,131,202],"food":[30,204],"industry":[31,205],"seeking":[33],"a":[34,50,74,85,111,174,184,192],"real-time,":[35],"non-destructive,":[36],"rapid,":[37],"robust,":[38],"low-cost":[40],"sensor":[41,54],"material":[45],"characterization.":[46],"Towards":[47],"this":[48],"goal,":[49],"1H":[51,86],"LF-NMR":[52,87,189],"relaxation":[53,88,122],"application":[55],"based":[56],"on":[57,146],"chemical":[59,105,161],"structural":[61],"profiling":[62],"non-oxidized":[64],"oxidized":[66],"oils":[67],"was":[68,117,144],"developed.":[69],"This":[70,108],"study":[71,109],"dealt":[72],"with":[73,151],"relatively":[75],"large-scale":[76],"database,":[79],"which":[80],"included":[81],"crude":[82],"data":[83,167],"curve,":[89],"its":[91],"reconstruction":[92],"into":[93,124],"T1":[94],"T2":[96,121,148],"spectral":[97],"fingerprints,":[98],"self-diffusion":[99],"coefficient":[100],"D,":[101],"conventional":[103,160],"standard":[104],"test":[106,166],"results.":[107],"used":[110,145,170],"convolutional":[112],"neural":[113],"network":[114],"(CNN)":[115],"that":[116,196],"trained":[118],"to":[119],"classify":[120],"curves":[123],"three":[125,129],"ordinal":[126],"classes":[127],"representing":[128],"different":[130],"levels":[133],"(non-oxidized,":[134],"partial":[135],"oxidation,":[136],"high":[138,175],"level":[139],"oxidation).":[141],"Supervised":[142],"learning":[143,194],"signals":[149],"paired":[150],"ground-truth":[153],"labels":[154],"values":[157],"as":[158],"per":[159],"lab":[162],"tests.":[164],"results":[168],"(not":[169],"training)":[172],"show":[173],"classification":[176],"accuracy":[177],"(95%).":[178],"proposed":[180],"AI":[181],"method":[182],"integrates":[183],"large":[185],"training":[186],"set,":[187],"sensor,":[190],"machine":[193],"program":[195],"meets":[197],"requirements":[199],"can":[207],"be":[208],"further":[209],"developed":[210],"other":[212],"applications.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2025-10-10T00:00:00"}
