{"id":"https://openalex.org/W3157105831","doi":"https://doi.org/10.1109/tii.2021.3076513","title":"Feedback Convolutional Network for Intelligent Data Fusion Based on Near-Infrared Collaborative IoT Technology","display_name":"Feedback Convolutional Network for Intelligent Data Fusion Based on Near-Infrared Collaborative IoT Technology","publication_year":2021,"publication_date":"2021-05-03","ids":{"openalex":"https://openalex.org/W3157105831","doi":"https://doi.org/10.1109/tii.2021.3076513","mag":"3157105831"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3076513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3076513","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5101826002","display_name":"Ken Cai","orcid":"https://orcid.org/0000-0002-5454-7613"},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ken Cai","raw_affiliation_strings":["College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5454-7613","affiliations":[{"raw_affiliation_string":"College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I94357780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057917454","display_name":"Huazhou Chen","orcid":"https://orcid.org/0000-0003-4770-020X"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhou Chen","raw_affiliation_strings":["College of Science and Center for Data Analysis and Algorithm Technology, Guilin University of Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0003-4770-020X","affiliations":[{"raw_affiliation_string":"College of Science and Center for Data Analysis and Algorithm Technology, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084404694","display_name":"Wu Ai","orcid":"https://orcid.org/0000-0001-5260-826X"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Ai","raw_affiliation_strings":["College of Science and Center for Data Analysis and Algorithm Technology, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Center for Data Analysis and Algorithm Technology, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100521284","display_name":"Xuexue Miao","orcid":"https://orcid.org/0009-0005-4029-938X"},"institutions":[{"id":"https://openalex.org/I4210110723","display_name":"Hunan Academy of Agricultural Sciences","ror":"https://ror.org/01fj5gf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110723"]},{"id":"https://openalex.org/I4210131698","display_name":"Hunan Rice Research Institute","ror":"https://ror.org/02vy7sg87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuexue Miao","raw_affiliation_strings":["Hunan Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha, China","institution_ids":["https://openalex.org/I4210131698","https://openalex.org/I4210110723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055775238","display_name":"Qinyong Lin","orcid":"https://orcid.org/0000-0002-2932-8566"},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyong Lin","raw_affiliation_strings":["College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2932-8566","affiliations":[{"raw_affiliation_string":"College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I94357780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101696448","display_name":"Quanxi Feng","orcid":"https://orcid.org/0000-0002-7720-4453"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanxi Feng","raw_affiliation_strings":["College of Science and Center for Data Analysis and Algorithm Technology, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Center for Data Analysis and Algorithm Technology, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.8462,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.99089284,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":"2","first_page":"1200","last_page":"1209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9948999881744385,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674242258071899},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5403957366943359},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5222492814064026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5038442015647888},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.498337984085083},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49736717343330383},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47405144572257996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39936205744743347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674242258071899},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5403957366943359},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5222492814064026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5038442015647888},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.498337984085083},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49736717343330383},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47405144572257996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39936205744743347},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3076513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3076513","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G8349865749","display_name":null,"funder_award_id":"2018GXNSFAA050045","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"}],"funders":[{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1980682231","https://openalex.org/W2011012896","https://openalex.org/W2019223913","https://openalex.org/W2054616505","https://openalex.org/W2111619626","https://openalex.org/W2151520117","https://openalex.org/W2274794857","https://openalex.org/W2291961022","https://openalex.org/W2323148182","https://openalex.org/W2338691990","https://openalex.org/W2418033038","https://openalex.org/W2539223797","https://openalex.org/W2554078916","https://openalex.org/W2618530766","https://openalex.org/W2758217051","https://openalex.org/W2765598690","https://openalex.org/W2765945751","https://openalex.org/W2770854636","https://openalex.org/W2803199689","https://openalex.org/W2804005768","https://openalex.org/W2883273084","https://openalex.org/W2889643449","https://openalex.org/W2896625020","https://openalex.org/W2912145285","https://openalex.org/W2919115771","https://openalex.org/W2951230751","https://openalex.org/W2968741061","https://openalex.org/W2969213789","https://openalex.org/W2996855898","https://openalex.org/W3002674187","https://openalex.org/W3005522532","https://openalex.org/W3033828772","https://openalex.org/W3038645517","https://openalex.org/W3045156337"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W2778653980"],"abstract_inverted_index":{"Near-infrared":[0],"(NIR)":[1],"data":[2,109,199,208],"containing":[3],"spectral":[4,15,73,189],"response":[5],"information":[6,20,106,158,190,217],"for":[7,69,216,228],"detecting":[8],"target":[9],"composition":[10],"are":[11,99,110],"sparsely":[12],"implied":[13],"in":[14,66,85,171,222,237],"frequency":[16],"sequence.":[17],"Spectral":[18],"feature":[19,148,157,198,207],"should":[21],"be":[22,220],"extracted":[23],"using":[24],"computer-oriented":[25],"chemometric":[26],"methods.":[27],"An":[28,79],"Internet":[29],"of":[30,59,72,94,129,141,168,181,188,209,242],"Things":[31],"(IoT)":[32],"framework":[33,227],"constructed":[34],"with":[35,118],"NIR":[36,77,164,224,235],"calibration":[37,116],"platform":[38],"needs":[39],"some":[40],"advanced":[41],"algorithm":[42],"architectures":[43],"to":[44,90,102,113,124,162,232],"realize":[45],"intelligent":[46],"analysis.":[47],"A":[48],"feedback":[49,152,213],"convolutional":[50,214],"neural":[51],"network":[52,123,136,215],"(CNN)":[53],"architecture,":[54],"including":[55],"three":[56],"repeated":[57],"segments":[58],"convolution,":[60],"pooling,":[61],"and":[62,131],"flattening,":[63],"is":[64,83,160],"designed":[65],"this":[67],"article":[68],"multiple":[70],"extraction":[71],"features":[74,98,183],"from":[75,146],"one-dimensional":[76],"data.":[78,149],"error-feedback":[80],"iteration":[81],"mechanism":[82],"proposed":[84,151],"the":[86,104,115,126,139,163,179,186,223,238],"model":[87,194],"training":[88],"process":[89],"optimize":[91],"convolution":[92],"filters":[93],"each":[95,210],"segment.":[96,211],"Multisegment":[97],"fused":[100,147,197],"successively":[101],"ease":[103],"sparse":[105],"issue.":[107],"Fusion":[108],"further":[111],"used":[112],"train":[114],"models":[117,203],"a":[119],"parametric-scaling":[120],"fully":[121],"connected":[122],"determine":[125],"suitable":[127],"numbers":[128],"hidden":[130],"output":[132],"nodes.":[133],"The":[134,150,192,212],"adaptive":[135],"structure":[137],"has":[138],"advantage":[140],"obtaining":[142],"optimal":[143,193],"prediction":[144],"results":[145,176],"CNN":[153],"architecture":[154],"based":[155,195,204],"on":[156,196,205],"fusion":[159,180,218],"applied":[161,221],"rapid":[165,229],"quantitative":[166],"detection":[167,230],"selenium":[169],"content":[170],"paddy":[172],"rice":[173],"samples.":[174],"Experimental":[175],"showed":[177],"that":[178],"multisegment":[182],"can":[184,219],"enhance":[185],"ability":[187],"extraction.":[191],"performs":[200],"better":[201],"than":[202],"separate":[206],"collaborative":[225],"IoT":[226],"spectroscopy":[231],"ensure":[233],"high-confidence":[234],"analysis":[236],"artificial":[239],"intelligence":[240],"performance":[241],"IoT.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":24}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}