{"id":"https://openalex.org/W2766364639","doi":"https://doi.org/10.1109/icinfa.2017.8078954","title":"Intelligent estimate of chemical compositions based on NIR spectra analysis","display_name":"Intelligent estimate of chemical compositions based on NIR spectra analysis","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2766364639","doi":"https://doi.org/10.1109/icinfa.2017.8078954","mag":"2766364639"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2017.8078954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8078954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","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/A5100401387","display_name":"Di Wang","orcid":"https://orcid.org/0000-0001-7030-6521"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA","CN"],"is_corresponding":true,"raw_author_name":"Di Wang","raw_affiliation_strings":["College of Communications Engineering, Chongqing University, Chongqing, China","School of Engineering, University of Guelph, Guelph, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"School of Engineering, University of Guelph, Guelph, Ontario, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080909831","display_name":"Fengchun Tian","orcid":"https://orcid.org/0000-0002-5306-6690"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengchun Tian","raw_affiliation_strings":["College of Communications Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029827598","display_name":"Simon X. Yang","orcid":"https://orcid.org/0000-0002-6888-7993"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Simon X. Yang","raw_affiliation_strings":["School of Engineering, University of Guelph, Guelph, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Guelph, Guelph, Ontario, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079239707","display_name":"Zhiqin Zhu","orcid":"https://orcid.org/0000-0002-3883-2529"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqin Zhu","raw_affiliation_strings":["College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100401387"],"corresponding_institution_ids":["https://openalex.org/I158842170","https://openalex.org/I79817857"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13847318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"472","last_page":"477"},"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9908000230789185,"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/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.7438315153121948},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7120276689529419},{"id":"https://openalex.org/keywords/chemical-composition","display_name":"Chemical composition","score":0.6356004476547241},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.580856442451477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5015902519226074},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.4876445531845093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4851709008216858},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.4318673014640808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4287504553794861},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.280487596988678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20007112622261047}],"concepts":[{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.7438315153121948},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7120276689529419},{"id":"https://openalex.org/C149849071","wikidata":"https://www.wikidata.org/wiki/Q1263816","display_name":"Chemical composition","level":2,"score":0.6356004476547241},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.580856442451477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5015902519226074},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.4876445531845093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4851709008216858},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.4318673014640808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4287504553794861},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.280487596988678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20007112622261047},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2017.8078954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8078954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8500000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1496317909","https://openalex.org/W1503398984","https://openalex.org/W1580801000","https://openalex.org/W1596717185","https://openalex.org/W2001319143","https://openalex.org/W2016629623","https://openalex.org/W2017821710","https://openalex.org/W2024467015","https://openalex.org/W2025934533","https://openalex.org/W2031754209","https://openalex.org/W2034199713","https://openalex.org/W2041387425","https://openalex.org/W2059405255","https://openalex.org/W2076644550","https://openalex.org/W2089130427","https://openalex.org/W2089996359","https://openalex.org/W2111358284","https://openalex.org/W2139614477","https://openalex.org/W2182644107","https://openalex.org/W2381954506","https://openalex.org/W2583586129","https://openalex.org/W2618317993","https://openalex.org/W4301501800","https://openalex.org/W6665223202","https://openalex.org/W6738416923"],"related_works":["https://openalex.org/W2122277321","https://openalex.org/W2382231800","https://openalex.org/W2650781048","https://openalex.org/W2538830880","https://openalex.org/W2350302603","https://openalex.org/W2134202645","https://openalex.org/W2394871888","https://openalex.org/W2012353789","https://openalex.org/W2769345709","https://openalex.org/W2372354349"],"abstract_inverted_index":{"The":[0,97,109],"main":[1],"chemical":[2,30,46,50,117],"compositions":[3,31,118],"of":[4,8,16],"tobacco":[5,40],"is":[6,20,61,72,92,119],"one":[7],"the":[9,14,29,37,49,57,102,114,122,133,140],"significant":[10],"factors":[11],"to":[12,27],"decide":[13],"quality":[15],"tobacco,":[17],"and":[18,25,45,66,82,107,137],"it":[19],"time":[21],"consuming,":[22],"expensive,":[23],"unrepeatable":[24],"destructive":[26],"obtain":[28],"in":[32],"laboratories.":[33],"This":[34],"paper":[35],"investigates":[36],"relationship":[38],"between":[39],"near":[41],"infrared":[42],"(NIR)":[43],"spectra":[44],"composition,":[47],"thus":[48],"composition":[51],"can":[52,126],"be":[53],"easily":[54],"obtained":[55,98,120],"through":[56],"NIR":[58],"spectroscopy":[59],"that":[60,101],"a":[62,83],"quick,":[63],"convenient,":[64],"accurate":[65],"low-cost":[67],"technique.":[68],"An":[69],"intelligent":[70],"method":[71,84],"proposed":[73,94,103],"based":[74,85],"on":[75,86],"least":[76,88],"squares":[77,89],"support":[78],"vector":[79],"machines":[80],"(LS-SVM),":[81],"partial":[87],"regression":[90],"(PLS)":[91],"also":[93],"comparative":[95],"study.":[96],"results":[99],"show":[100],"methods":[104],"are":[105],"effective":[106],"feasible.":[108],"best":[110],"prediction":[111],"accuracy":[112,129],"for":[113,132,139],"seven":[115],"different":[116],"by":[121],"LS-SVM":[123],"method,":[124],"which":[125],"reach":[127],"an":[128],"at":[130],"99.85%":[131],"400":[134],"training":[135],"samples":[136],"97.92%":[138],"100":[141],"testing":[142],"samples.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
