{"id":"https://openalex.org/W4392930311","doi":"https://doi.org/10.1109/tii.2024.3367007","title":"A Novel Adaptive Robust NIR Modeling Method Based on Sparse Bayesian Learning","display_name":"A Novel Adaptive Robust NIR Modeling Method Based on Sparse Bayesian Learning","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392930311","doi":"https://doi.org/10.1109/tii.2024.3367007"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3367007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3367007","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/A5042310317","display_name":"Yuqiang Li","orcid":"https://orcid.org/0000-0003-2877-8060"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqiang Li","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2877-8060","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048267931","display_name":"Wenli Du","orcid":"https://orcid.org/0000-0002-2676-6341"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Du","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2676-6341","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626391","display_name":"Xinjie Wang","orcid":"https://orcid.org/0000-0003-1792-4296"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie Wang","raw_affiliation_strings":["School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1792-4296","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016887912","display_name":"Huijing Yu","orcid":"https://orcid.org/0000-0002-0933-1178"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijing Yu","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","China Aviation Lithium Battery (Shenzhen) Company Ltd., Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0933-1178","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"China Aviation Lithium Battery (Shenzhen) Company Ltd., Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7154,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89904079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"6","first_page":"8499","last_page":"8511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8192999958992004,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8192999958992004,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.7458000183105469,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.7278000116348267,"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":0.6506044864654541},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.571615993976593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5361895561218262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41527071595191956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39070239663124084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506044864654541},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.571615993976593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5361895561218262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41527071595191956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39070239663124084}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3367007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3367007","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":[],"awards":[{"id":"https://openalex.org/G148463591","display_name":null,"funder_award_id":"62303186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5333276369","display_name":null,"funder_award_id":"222202417006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5987548019","display_name":null,"funder_award_id":"62373154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6511873551","display_name":null,"funder_award_id":"62136003","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1191550839","https://openalex.org/W1982652137","https://openalex.org/W2028510317","https://openalex.org/W2071282831","https://openalex.org/W2084649778","https://openalex.org/W2105465844","https://openalex.org/W2114169935","https://openalex.org/W2201840673","https://openalex.org/W2327959768","https://openalex.org/W2619174359","https://openalex.org/W2775308817","https://openalex.org/W2790212948","https://openalex.org/W2810822878","https://openalex.org/W2911863681","https://openalex.org/W2912591575","https://openalex.org/W2948016175","https://openalex.org/W3004874289","https://openalex.org/W3041675516","https://openalex.org/W3070775381","https://openalex.org/W3103105684","https://openalex.org/W3124489290","https://openalex.org/W3128495154","https://openalex.org/W3134781677","https://openalex.org/W3158954161","https://openalex.org/W3161084180","https://openalex.org/W4206164919","https://openalex.org/W4210549158","https://openalex.org/W4224279406","https://openalex.org/W4281716507","https://openalex.org/W4281725758","https://openalex.org/W4281783356","https://openalex.org/W4294541781","https://openalex.org/W4307154503"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"The":[0],"near-infrared":[1],"(NIR)":[2],"method":[3,64,92,110],"has":[4,79],"shown":[5],"great":[6],"potential":[7],"in":[8,12,24,70,73],"estimating":[9],"key":[10],"parameters":[11],"various":[13],"industrial":[14],"processes.":[15],"Selecting":[16],"characteristic":[17,100],"wavelengths":[18],"from":[19],"high-dimensional":[20],"spectra":[21],"is":[22,65,97,111],"crucial":[23],"building":[25],"a":[26,60,90],"prediction":[27],"model":[28,78],"with":[29,104],"the":[30,40,52,57,75,84,105,108],"satisfactory":[31],"performance.":[32],"However,":[33],"existing":[34],"wavelength":[35,41,101],"selection":[36],"methods":[37],"based":[38,93],"on":[39,94,119],"or":[42],"waveband":[43],"importance":[44],"estimation":[45],"are":[46],"time-consuming":[47],"and":[48,54,114,122],"unstable.":[49],"To":[50],"improve":[51],"stability":[53],"generalization":[55],"of":[56],"established":[58],"model,":[59],"novel":[61],"adaptive":[62],"robust":[63,91,115],"proposed":[66,109],"for":[67,99,116],"NIR":[68,117],"modeling":[69,118],"this":[71],"work,":[72],"which":[74],"pattern-coupled":[76],"sparse":[77],"been":[80],"developed":[81,98],"to":[82],"estimate":[83],"spectral":[85],"peak":[86],"wavebands":[87],"adaptively.":[88],"Furthermore,":[89],"global-local":[95],"shrinkage":[96],"selection.":[102],"Compared":[103],"state-of-the-art":[106],"techniques,":[107],"more":[112],"accurate":[113],"both":[120],"benchmark":[121],"real":[123],"datasets.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
