{"id":"https://openalex.org/W4289443624","doi":"https://doi.org/10.1021/acs.jcim.2c00786","title":"Spectral Encoder to Extract the Features of Near-Infrared Spectra for Multivariate Calibration","display_name":"Spectral Encoder to Extract the Features of Near-Infrared Spectra for Multivariate Calibration","publication_year":2022,"publication_date":"2022-08-02","ids":{"openalex":"https://openalex.org/W4289443624","doi":"https://doi.org/10.1021/acs.jcim.2c00786","pmid":"https://pubmed.ncbi.nlm.nih.gov/35916486"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.2c00786","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.2c00786","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5069948512","display_name":"Chaoshu Duan","orcid":"https://orcid.org/0000-0002-0199-6693"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I4210143235","display_name":"Unit\u00e9 Mat\u00e9riaux et Transformations","ror":"https://ror.org/03q99v794","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I137614889","https://openalex.org/I2279609970","https://openalex.org/I4210088668","https://openalex.org/I4210128300","https://openalex.org/I4210143235","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I4391767646","display_name":"State Key Laboratory of Medicinal Chemical Biology","ror":"https://ror.org/032p70522","country_code":null,"type":"facility","lineage":["https://openalex.org/I205237279","https://openalex.org/I4391767646"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Chaoshu Duan","raw_affiliation_strings":["Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China","Research Center for Analytical Sciences, Frontiers Science Center for New Organic Matter, College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China","institution_ids":["https://openalex.org/I4210143235"]},{"raw_affiliation_string":"Research Center for Analytical Sciences, Frontiers Science Center for New Organic Matter, College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, China","institution_ids":["https://openalex.org/I205237279","https://openalex.org/I4391767646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624014","display_name":"Xuyang Liu","orcid":"https://orcid.org/0000-0003-1576-0136"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I4210143235","display_name":"Unit\u00e9 Mat\u00e9riaux et Transformations","ror":"https://ror.org/03q99v794","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I137614889","https://openalex.org/I2279609970","https://openalex.org/I4210088668","https://openalex.org/I4210128300","https://openalex.org/I4210143235","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I4391767646","display_name":"State Key Laboratory of Medicinal Chemical Biology","ror":"https://ror.org/032p70522","country_code":null,"type":"facility","lineage":["https://openalex.org/I205237279","https://openalex.org/I4391767646"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Xuyang Liu","raw_affiliation_strings":["Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China","Research Center for Analytical Sciences, Frontiers Science Center for New Organic Matter, College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China","institution_ids":["https://openalex.org/I4210143235"]},{"raw_affiliation_string":"Research Center for Analytical Sciences, Frontiers Science Center for New Organic Matter, College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, China","institution_ids":["https://openalex.org/I205237279","https://openalex.org/I4391767646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010656224","display_name":"Wensheng Cai","orcid":"https://orcid.org/0000-0002-6457-7058"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I4210143235","display_name":"Unit\u00e9 Mat\u00e9riaux et Transformations","ror":"https://ror.org/03q99v794","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I137614889","https://openalex.org/I2279609970","https://openalex.org/I4210088668","https://openalex.org/I4210128300","https://openalex.org/I4210143235","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I4391767646","display_name":"State Key Laboratory of Medicinal Chemical Biology","ror":"https://ror.org/032p70522","country_code":null,"type":"facility","lineage":["https://openalex.org/I205237279","https://openalex.org/I4391767646"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Wensheng Cai","raw_affiliation_strings":["Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China","Research Center for Analytical Sciences, Frontiers Science Center for New Organic Matter, College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, China"],"raw_orcid":"https://orcid.org/0000-0002-6457-7058","affiliations":[{"raw_affiliation_string":"Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China","institution_ids":["https://openalex.org/I4210143235"]},{"raw_affiliation_string":"Research Center for Analytical Sciences, Frontiers Science Center for New Organic Matter, College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, China","institution_ids":["https://openalex.org/I205237279","https://openalex.org/I4391767646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101639531","display_name":"Xueguang Shao","orcid":"https://orcid.org/0000-0001-5027-4382"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I4210143235","display_name":"Unit\u00e9 Mat\u00e9riaux et Transformations","ror":"https://ror.org/03q99v794","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I137614889","https://openalex.org/I2279609970","https://openalex.org/I4210088668","https://openalex.org/I4210128300","https://openalex.org/I4210143235","https://openalex.org/I7454413"]},{"id":"https://openalex.org/I4391767646","display_name":"State Key Laboratory of Medicinal Chemical Biology","ror":"https://ror.org/032p70522","country_code":null,"type":"facility","lineage":["https://openalex.org/I205237279","https://openalex.org/I4391767646"]}],"countries":["CN","FR"],"is_corresponding":true,"raw_author_name":"Xueguang Shao","raw_affiliation_strings":["Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China","Research Center for Analytical Sciences, Frontiers Science Center for New Organic Matter, College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, China"],"raw_orcid":"https://orcid.org/0000-0001-5027-4382","affiliations":[{"raw_affiliation_string":"Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, China","institution_ids":["https://openalex.org/I4210143235"]},{"raw_affiliation_string":"Research Center for Analytical Sciences, Frontiers Science Center for New Organic Matter, College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin 300071, China","institution_ids":["https://openalex.org/I205237279","https://openalex.org/I4391767646"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101639531"],"corresponding_institution_ids":["https://openalex.org/I205237279","https://openalex.org/I4210143235","https://openalex.org/I4391767646"],"apc_list":null,"apc_paid":null,"fwci":2.4156,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89660194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"62","issue":"16","first_page":"3695","last_page":"3703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998000264167786,"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":0.9998000264167786,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9976000189781189,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8940219879150391},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.736901044845581},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6543534994125366},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6438140869140625},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.6079095602035522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5970392227172852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5543743371963501},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.5454692244529724},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.529875636100769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4901305139064789},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4674096405506134},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.4545019567012787},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4340571463108063},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4187758266925812},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3348706364631653},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29619303345680237},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25328540802001953},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18509596586227417},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10374203324317932},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09261703491210938}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8940219879150391},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.736901044845581},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6543534994125366},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6438140869140625},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.6079095602035522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5970392227172852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5543743371963501},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.5454692244529724},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.529875636100769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4901305139064789},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4674096405506134},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.4545019567012787},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4340571463108063},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4187758266925812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3348706364631653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29619303345680237},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25328540802001953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18509596586227417},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10374203324317932},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09261703491210938},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":[{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013607","descriptor_name":"Tablets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013607","descriptor_name":"Tablets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013607","descriptor_name":"Tablets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1021/acs.jcim.2c00786","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.2c00786","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:35916486","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35916486","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":"Journal of chemical information and modeling","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7457422375","display_name":null,"funder_award_id":"20JCYBJC01480","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G8063075859","display_name":null,"funder_award_id":"22174075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W1968263491","https://openalex.org/W1971284954","https://openalex.org/W2001735456","https://openalex.org/W2012672486","https://openalex.org/W2016090370","https://openalex.org/W2017422910","https://openalex.org/W2018338598","https://openalex.org/W2035708442","https://openalex.org/W2042970394","https://openalex.org/W2043633763","https://openalex.org/W2048132092","https://openalex.org/W2051275357","https://openalex.org/W2052916447","https://openalex.org/W2062634374","https://openalex.org/W2069013297","https://openalex.org/W2085158741","https://openalex.org/W2100495367","https://openalex.org/W2150544808","https://openalex.org/W2155561942","https://openalex.org/W2158863190","https://openalex.org/W2177066871","https://openalex.org/W2327720789","https://openalex.org/W2474569378","https://openalex.org/W2735856004","https://openalex.org/W2781487518","https://openalex.org/W2883273084","https://openalex.org/W2899704941","https://openalex.org/W2908735595","https://openalex.org/W2919115771","https://openalex.org/W2924267114","https://openalex.org/W2946837345","https://openalex.org/W2952266823","https://openalex.org/W2953618630","https://openalex.org/W2958623464","https://openalex.org/W2967718392","https://openalex.org/W2968460295","https://openalex.org/W2979478478","https://openalex.org/W3010558195","https://openalex.org/W3041133507","https://openalex.org/W3122822994","https://openalex.org/W3131348115","https://openalex.org/W3165840317","https://openalex.org/W3170380937","https://openalex.org/W3196811283","https://openalex.org/W3204722006","https://openalex.org/W3205964505","https://openalex.org/W4200395878","https://openalex.org/W4200454557","https://openalex.org/W4221035680","https://openalex.org/W4221051301","https://openalex.org/W4282959506","https://openalex.org/W4285675053"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2046744435","https://openalex.org/W3158648238","https://openalex.org/W3115262167","https://openalex.org/W2085256839"],"abstract_inverted_index":{"An":[0],"autoencoder":[1],"architecture":[2],"was":[3,30,131,175],"adopted":[4],"for":[5,137],"near-infrared":[6],"(NIR)":[7],"spectral":[8,28,110],"analysis":[9],"by":[10,32,52,118,143],"extracting":[11],"the":[12,16,34,42,47,53,56,74,80,88,91,101,106,109,113,120,123,126,135,138,145,164,172,189],"common":[13,92],"features":[14,45,93,111,174],"in":[15,55,60,94,100,105,185],"spectra.":[17],"Three":[18],"autoencoder-based":[19],"networks":[20],"with":[21,36,171,188],"different":[22],"purposes":[23],"were":[24,160],"constructed.":[25],"First,":[26],"a":[27,37,67,179],"encoder":[29],"established":[31],"training":[33],"network":[35],"set":[38],"of":[39,46,76,84,112,122,140,150],"spectra":[40,48,75,96,139],"as":[41,79,87,125],"input.":[43],"The":[44,166],"can":[49,62,97,115],"be":[50,63,98,116],"encoded":[51,173],"nodes":[54],"bottleneck":[57,102],"layer,":[58],"which":[59],"turn":[61],"used":[64,132,161],"to":[65,133,162,177],"build":[66,134],"sparse":[68],"and":[69,82,153],"robust":[70],"model.":[71,193],"Second,":[72],"taking":[73,119],"one":[77],"instrument":[78,86],"input":[81],"that":[83],"another":[85],"reference":[89],"output,":[90],"both":[95],"obtained":[99],"layer.":[103],"Therefore,":[104],"prediction":[107,186],"step,":[108],"second":[114],"predicted":[117],"reverse":[121],"decoder":[124],"encoder.":[127],"Furthermore,":[128],"transfer":[129],"learning":[130],"model":[136,170],"more":[141],"instruments":[142,159],"fine-tuning":[144],"trained":[146],"network.":[147],"NIR":[148],"datasets":[149],"plant,":[151],"wheat,":[152],"pharmaceutical":[154],"tablets":[155],"measured":[156],"on":[157],"multiple":[158],"test":[163],"method.":[165],"multi-linear":[167],"regression":[168],"(MLR)":[169],"found":[176],"have":[178],"similar":[180],"or":[181],"slightly":[182],"better":[183],"performance":[184],"compared":[187],"partial":[190],"least-squares":[191],"(PLS)":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}