{"id":"https://openalex.org/W3008159994","doi":"https://doi.org/10.3390/s20041201","title":"High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network","display_name":"High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network","publication_year":2020,"publication_date":"2020-02-21","ids":{"openalex":"https://openalex.org/W3008159994","doi":"https://doi.org/10.3390/s20041201","mag":"3008159994","pmid":"https://pubmed.ncbi.nlm.nih.gov/32098264"},"language":"en","primary_location":{"id":"doi:10.3390/s20041201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041201","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1201/pdf?version=1582547316","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/4/1201/pdf?version=1582547316","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074266365","display_name":"Jiangcheng Chen","orcid":"https://orcid.org/0000-0002-8403-8801"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangcheng Chen","raw_affiliation_strings":["Shenzhen Academy of Robotics, Shenzhen 518057, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Academy of Robotics, Shenzhen 518057, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012480129","display_name":"Sheng Bi","orcid":"https://orcid.org/0000-0001-8292-2110"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sheng Bi","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China","Shenzhen Academy of Robotics, Shenzhen 518057, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shenzhen Academy of Robotics, Shenzhen 518057, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611353","display_name":"George Zhang","orcid":"https://orcid.org/0000-0002-8729-1570"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"George Zhang","raw_affiliation_strings":["Shenzhen Academy of Robotics, Shenzhen 518057, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Academy of Robotics, Shenzhen 518057, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"last","author":{"id":null,"display_name":"Guangzhong Cao","orcid":"https://orcid.org/0000-0002-5595-7155"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhong Cao","raw_affiliation_strings":["Shenzhen Key Laboratory of Electromagnetic Control, Shenzhen University, Shenzhen 518060, China"],"raw_orcid":"https://orcid.org/0000-0002-5595-7155","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Electromagnetic Control, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012480129","https://openalex.org/A5074266365"],"corresponding_institution_ids":["https://openalex.org/I4210104064","https://openalex.org/I90610280"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":3.7557,"has_fulltext":true,"cited_by_count":91,"citation_normalized_percentile":{"value":0.94341403,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"4","first_page":"1201","last_page":"1201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9993000030517578,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8370217680931091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7633945941925049},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7240256071090698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7068378329277039},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6426048278808594},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4909344017505646},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.47651636600494385},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.47386813163757324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.421906977891922},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4208013415336609},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4135863184928894},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.38241058588027954},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34957456588745117}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8370217680931091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633945941925049},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7240256071090698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7068378329277039},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6426048278808594},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4909344017505646},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.47651636600494385},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.47386813163757324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.421906977891922},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4208013415336609},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4135863184928894},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.38241058588027954},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34957456588745117},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20041201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041201","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1201/pdf?version=1582547316","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32098264","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32098264","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:12e4c53b4a2f4fa08055dfee67d8bb7f","is_oa":true,"landing_page_url":"https://doaj.org/article/12e4c53b4a2f4fa08055dfee67d8bb7f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 4, p 1201 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/4/1201/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20041201","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7070985","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7070985","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20041201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041201","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1201/pdf?version=1582547316","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7982388691","display_name":null,"funder_award_id":"U1813214","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3008159994.pdf","grobid_xml":"https://content.openalex.org/works/W3008159994.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1836465849","https://openalex.org/W1983364832","https://openalex.org/W2004931716","https://openalex.org/W2013427553","https://openalex.org/W2014013565","https://openalex.org/W2014734344","https://openalex.org/W2017085332","https://openalex.org/W2036663497","https://openalex.org/W2044628302","https://openalex.org/W2095705004","https://openalex.org/W2110119146","https://openalex.org/W2113169080","https://openalex.org/W2119008936","https://openalex.org/W2134408600","https://openalex.org/W2149250980","https://openalex.org/W2169931829","https://openalex.org/W2171219007","https://openalex.org/W2295398032","https://openalex.org/W2365457334","https://openalex.org/W2516710120","https://openalex.org/W2522619451","https://openalex.org/W2555541061","https://openalex.org/W2564965427","https://openalex.org/W2684229413","https://openalex.org/W2762367260","https://openalex.org/W2774049169","https://openalex.org/W2775447708","https://openalex.org/W2787564202","https://openalex.org/W2886903801","https://openalex.org/W2898716605","https://openalex.org/W2919115771","https://openalex.org/W2921988675","https://openalex.org/W2942231644","https://openalex.org/W2949117887","https://openalex.org/W2972073716","https://openalex.org/W2992144662","https://openalex.org/W3103261259","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W3014558862"],"abstract_inverted_index":{"High-density":[0],"surface":[1],"electromyography":[2],"(HD-sEMG)":[3],"and":[4,105,112,138,196,214,229],"deep":[5],"learning":[6],"technology":[7],"are":[8,30,73],"becoming":[9],"increasingly":[10],"used":[11],"in":[12,24,52,57,120,240],"gesture":[13,118],"recognition.":[14],"Based":[15],"on":[16,116,131],"electrode":[17],"grid":[18],"data,":[19],"information":[20,83],"can":[21,153],"be":[22],"extracted":[23],"the":[25,58,86,123,145,166,175,187,207,221,243],"form":[26],"of":[27,35,61,79,169,177,209],"images":[28,80,111],"that":[29,81],"generated":[31],"with":[32,70,90,98],"instant":[33],"values":[34],"multi-channel":[36],"sEMG":[37,110],"signals.":[38],"In":[39],"previous":[40],"studies,":[41],"image-based,":[42],"two-dimensional":[43],"convolutional":[44],"neural":[45],"networks":[46],"(2D":[47],"CNNs)":[48],"have":[49],"been":[50],"applied":[51],"order":[53],"to":[54,75,101,122,193,202,226,242],"recognize":[55],"patterns":[56],"electrical":[59],"activity":[60],"muscles":[62],"from":[63,108],"an":[64],"instantaneous":[65,87],"image.":[66],"However,":[67],"2D":[68,71,124,159,184,218],"CNNs":[69],"kernels":[72,100],"unable":[74],"handle":[76],"a":[77,95,155,237],"sequence":[78],"carry":[82],"concerning":[84],"how":[85],"image":[88],"evolves":[89],"time.":[91],"This":[92],"paper":[93],"presents":[94],"3D":[96,99,151,178,210,234],"CNN":[97,152,179,185,211,219,235],"capture":[102],"both":[103],"spatial":[104],"temporal":[106],"structures":[107],"sequential":[109],"investigates":[113],"its":[114],"performance":[115,157,239],"HD-sEMG-based":[117],"recognition":[119,188],"comparison":[121,241],"CNN.":[125],"Extensive":[126],"experiments":[127],"were":[128,212],"carried":[129],"out":[130],"two":[132],"benchmark":[133],"datasets":[134],"(i.e.,":[135],"CapgMyo":[136,173],"DB-a":[137],"CSL-HDEMG).":[139],"The":[140],"results":[141],"show":[142],"that,":[143],"where":[144],"same":[146],"network":[147],"architecture":[148],"is":[149],"used,":[150],"achieve":[154],"better":[156],"than":[158,183,217],"CNN,":[160],"especially":[161],"for":[162],"CSL-HDEMG,":[163,206],"which":[164],"contains":[165],"dynamic":[167],"part":[168],"finger":[170],"movement.":[171],"For":[172,205],"DB-a,":[174],"accuracy":[176],"was":[180,191,197,224],"1%":[181],"higher":[182,199,216],"when":[186,200,220],"window":[189,222],"length":[190,223],"equal":[192,201,225],"40":[194,227],"ms,":[195,231],"1.5%":[198],"150":[203,230],"ms.":[204],"accuracies":[208],"15.3%":[213],"18.6%":[215],"ms":[228],"respectively.":[232],"Furthermore,":[233],"achieves":[236],"competitive":[238],"baseline":[244],"methods.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}