{"id":"https://openalex.org/W7204235072","doi":"https://doi.org/10.1016/j.lwt.2026.119881","title":"CompleteNet: NIR-HSI fusion for blueberry puree adulteration","display_name":"CompleteNet: NIR-HSI fusion for blueberry puree adulteration","publication_year":2026,"publication_date":"2026-08-26","ids":{"openalex":"https://openalex.org/W7204235072","doi":"https://doi.org/10.1016/j.lwt.2026.119881"},"language":"en","primary_location":{"id":"doi:10.1016/j.lwt.2026.119881","doi":"https://doi.org/10.1016/j.lwt.2026.119881","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.lwt.2026.119881","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0023643826008935/pdf","source":{"id":"https://openalex.org/S26760650","display_name":"LWT","issn_l":"0023-6438","issn":["0023-6438","1096-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","jufo-1","ki-jl-1","norway-1","oarl","poland-100","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"LWT","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.sciencedirect.com/science/article/pii/S0023643826008935/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114097932","display_name":"Zhilong Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilong Xu","raw_affiliation_strings":["College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148225234","display_name":"Zirui Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Zhao","raw_affiliation_strings":["College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148263142","display_name":"Zhenao Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenao Xu","raw_affiliation_strings":["College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462854","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0003-3534-9299","observed_orcids":["https://orcid.org/0000-0003-3534-9299","https://orcid.org/0009-0005-3058-6027"]},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071484609","display_name":"Jianping Huang","orcid":"https://orcid.org/0000-0002-8017-278X","observed_orcids":["https://orcid.org/0000-0002-8017-278X"]},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Huang","raw_affiliation_strings":["College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134167432","display_name":"Pengtao Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengtao Zhang","raw_affiliation_strings":["College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control and Information Engineering, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100462854","https://openalex.org/A5134167432"],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":{"value":3240,"currency":"USD","value_usd":3240},"apc_paid":{"value":3240,"currency":"USD","value_usd":3240},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"256","issue":null,"first_page":"119881","last_page":"119881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":1.0,"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":1.0,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cross-attention","display_name":"cross-attention","score":0.6330000162124634},{"id":"https://openalex.org/keywords/spectral-attention","display_name":"spectral attention","score":0.49799999594688416},{"id":"https://openalex.org/keywords/solid-liquid-mixtures","display_name":"solid-liquid mixtures","score":0.7680000066757202},{"id":"https://openalex.org/keywords/food-adulteration-detection","display_name":"food adulteration detection","score":0.7350000143051147},{"id":"https://openalex.org/keywords/edge-deployment","display_name":"edge deployment","score":0.503000020980835},{"id":"https://openalex.org/keywords/3d-convolutional-neural-networks","display_name":"3D convolutional neural networks","score":0.5370000004768372},{"id":"https://openalex.org/keywords/1d-convolutional-neural-network","display_name":"1D convolutional neural network","score":0.7269999980926514},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.39399999380111694}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7799999713897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6484000086784363},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5733000040054321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5709999799728394},{"id":"https://openalex.org/C2779567708","wikidata":"https://www.wikidata.org/wiki/Q1658591","display_name":"Adulterant","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4943000078201294},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.43970000743865967},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.427700012922287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4271000027656555},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4255000054836273},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C2987718291","wikidata":"https://www.wikidata.org/wiki/Q2095","display_name":"Food products","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3003999888896942},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29789999127388},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C2776731941","wikidata":"https://www.wikidata.org/wiki/Q417274","display_name":"Skutterudite","level":4,"score":0.28349998593330383},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2614000141620636},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.lwt.2026.119881","doi":"https://doi.org/10.1016/j.lwt.2026.119881","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.lwt.2026.119881","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0023643826008935/pdf","source":{"id":"https://openalex.org/S26760650","display_name":"LWT","issn_l":"0023-6438","issn":["0023-6438","1096-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","jufo-1","ki-jl-1","norway-1","oarl","poland-100","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"LWT","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.lwt.2026.119881","doi":"https://doi.org/10.1016/j.lwt.2026.119881","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.lwt.2026.119881","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0023643826008935/pdf","source":{"id":"https://openalex.org/S26760650","display_name":"LWT","issn_l":"0023-6438","issn":["0023-6438","1096-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","jufo-1","ki-jl-1","norway-1","oarl","poland-100","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"LWT","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7142999768257141}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204235072.pdf","grobid_xml":"https://content.openalex.org/works/W7204235072.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W4205239235","https://openalex.org/W4283521602","https://openalex.org/W4288844076","https://openalex.org/W4303644766","https://openalex.org/W4303645088","https://openalex.org/W4310894700","https://openalex.org/W4313398688","https://openalex.org/W4385232660","https://openalex.org/W4385382892","https://openalex.org/W4387873328","https://openalex.org/W4392505049","https://openalex.org/W4392649749","https://openalex.org/W4401741406","https://openalex.org/W4405401329","https://openalex.org/W4406090393","https://openalex.org/W4407166173","https://openalex.org/W4407607339","https://openalex.org/W4408617395","https://openalex.org/W4409425274","https://openalex.org/W4409482991","https://openalex.org/W4411200650","https://openalex.org/W4413388578","https://openalex.org/W4413759222","https://openalex.org/W4415080926","https://openalex.org/W4416538565","https://openalex.org/W4417279921","https://openalex.org/W7081981527","https://openalex.org/W7125482487","https://openalex.org/W7126057829","https://openalex.org/W7163918864"],"related_works":["https://openalex.org/W4412128008","https://openalex.org/W4411373657","https://openalex.org/W7202177454","https://openalex.org/W3150234067","https://openalex.org/W4327814543","https://openalex.org/W7143482481","https://openalex.org/W4406416170","https://openalex.org/W7214199917","https://openalex.org/W7201848667","https://openalex.org/W4353055724"],"abstract_inverted_index":{"Economically":[0],"motivated":[1],"adulteration":[2,62],"(EMA)":[3],"of":[4,29,155,164,219],"blueberry":[5],"puree":[6],"poses":[7],"severe":[8],"food":[9,221],"safety":[10],"and":[11,25,75,142,157,175],"market":[12],"risks.":[13],"Conventional":[14],"single-modality":[15],"non-destructive":[16],"testing":[17],"struggles":[18],"to":[19,39,69,79],"simultaneously":[20,137],"capture":[21],"the":[22,128,170,185,215],"macroscopic":[23,121],"morphology":[24],"microscopic":[26,124],"chemical":[27],"attributes":[28],"heterogeneous":[30],"solid-liquid":[31],"mixtures,":[32],"while":[33],"simple":[34],"multimodal":[35,52],"concatenation":[36],"remains":[37],"vulnerable":[38],"industrial":[40,168],"noise.":[41],"To":[42],"overcome":[43],"these":[44],"bottlenecks,":[45],"this":[46],"study":[47,206],"proposes":[48],"CompleteNet,":[49],"a":[50,66,76,87,151,158,208],"deep":[51],"fusion":[53],"network":[54],"driven":[55],"by":[56],"bidirectional":[57,116],"cross-attention":[58,117],"for":[59,214],"robust,":[60,210],"online":[61],"detection.":[63],"CompleteNet":[64,149],"leverages":[65],"cascaded":[67],"1D-CNN":[68],"extract":[70],"near-infrared":[71],"(NIR)":[72],"overtone":[73],"features":[74],"dual-attention":[77],"3D-CNN":[78],"disentangle":[80],"hyperspectral":[81],"imaging":[82],"(HSI)":[83],"spatial-spectral":[84],"features.":[85],"Crucially,":[86],"multi-scale":[88],"spectral":[89],"attention":[90],"mechanism":[91],"dynamically":[92],"calibrates":[93],"critical":[94],"wavebands":[95],"entirely":[96],"based":[97],"on":[98,108,188],"intrinsic":[99],"physicochemical":[100],"differences,":[101],"significantly":[102],"enhancing":[103],"physical":[104],"interpretability":[105],"without":[106],"relying":[107],"predefined":[109],"empirical":[110],"wavelengths.":[111],"A":[112],"latent":[113],"space":[114],"tokenization-based":[115],"bridge":[118],"actively":[119],"aligns":[120],"contexts":[122],"with":[123],"features,":[125],"substantially":[126],"reducing":[127],"semantic":[129],"gap.":[130],"Furthermore,":[131],"an":[132,189],"asymmetric":[133],"multi-task":[134],"learning":[135],"head":[136],"discriminates":[138],"13":[139],"adulterant":[140],"categories":[141],"predicts":[143],"concentrations":[144],"(0\u201340%).":[145],"Results":[146],"demonstrated":[147],"that":[148],"achieved":[150],"peak":[152],"classification":[153],"accuracy":[154],"99.76%":[156],"prediction":[159],"determination":[160],"coefficient":[161],"(":[162],")":[163],"0.9879.":[165],"Under":[166],"simulated":[167],"noise,":[169],"architecture":[171],"exhibited":[172],"exceptional":[173],"anti-interference":[174],"feature":[176],"self-healing":[177],"capabilities,":[178],"vastly":[179],"outperforming":[180],"baseline":[181],"models.":[182],"Finally,":[183],"deploying":[184],"optimized":[186],"model":[187],"edge-computing":[190],"platform":[191],"(NVIDIA":[192],"Jetson":[193],"Orin":[194],"Nano)":[195],"enabled":[196],"real-time":[197],"analysis":[198],"at":[199],"\u223c15":[200],"frames":[201],"per":[202],"second":[203],"(FPS).":[204],"This":[205],"delivers":[207],"highly":[209],"interpretable":[211],"edge-deployment":[212],"framework":[213],"high-throughput,":[216],"in-line":[217],"monitoring":[218],"complex":[220],"matrices.":[222]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-08-27T00:00:00"}