乐胖代购免代理版

{"id":"https://openalex.org/W4387778354","doi":"https://doi.org/10.1016/j.cmpb.2023.107861","title":"High-resolution conductivity reconstruction by electrical impedance tomography using structure-aware hybrid-fusion learning","display_name":"High-resolution conductivity reconstruction by electrical impedance tomography using structure-aware hybrid-fusion learning","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4387778354","doi":"https://doi.org/10.1016/j.cmpb.2023.107861","pmid":"https://pubmed.ncbi.nlm.nih.gov/37931580"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cmpb.2023.107861","pdf_url":null,"source":{"id":"https://openalex.org/S138959710","display_name":"Computer Methods and Programs in Biomedicine","issn_l":"0169-2607","issn":["0169-2607","1872-7565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.cmpb.2023.107861","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101869758","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0001-6237-0179"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hao Yu","raw_affiliation_strings":["Agile Tomography Group, School of Engineering, University of Edinburgh, Edinburgh, U.K."],"affiliations":[{"raw_affiliation_string":"Agile Tomography Group, School of Engineering, University of Edinburgh, Edinburgh, U.K.","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444762","display_name":"Haoyu Liu","orcid":"https://orcid.org/0000-0003-3755-5184"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haoyu Liu","raw_affiliation_strings":["Mobile Intelligence Lab, School of Informatics, University of Edinburgh, Edinburgh, U.K."],"affiliations":[{"raw_affiliation_string":"Mobile Intelligence Lab, School of Informatics, University of Edinburgh, Edinburgh, U.K.","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043142471","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0003-4007-3290"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["Intelligent Sensing, Analysis and Control Group, School of Engineering, University of Edinburgh, Edinburgh, U.K."],"affiliations":[{"raw_affiliation_string":"Intelligent Sensing, Analysis and Control Group, School of Engineering, University of Edinburgh, Edinburgh, U.K.","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379695","display_name":"Zeyu Wang","orcid":"https://orcid.org/0000-0002-6675-5399"},"institutions":[{"id":"https://openalex.org/I4210159865","display_name":"Xiangya Hospital Central South University","ror":"https://ror.org/05c1yfj14","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159865"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210108209","display_name":"MRC Centre for Regenerative Medicine","ror":"https://ror.org/01x802g65","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210087105","https://openalex.org/I4210108209","https://openalex.org/I90344618","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I90344618","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517","country_code":"GB","type":"government","lineage":["https://openalex.org/I4210087105","https://openalex.org/I90344618"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Zeyu Wang","raw_affiliation_strings":["Department of Neurosurgery, Xiangya Hospital, Center South University, Changsha, Hunan, P.R. China","Medical Research Council Centre for Regenerative Medicine, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, U.K."],"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Xiangya Hospital, Center South University, Changsha, Hunan, P.R. China","institution_ids":["https://openalex.org/I4210159865","https://openalex.org/I139660479"]},{"raw_affiliation_string":"Medical Research Council Centre for Regenerative Medicine, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, U.K.","institution_ids":["https://openalex.org/I4210108209","https://openalex.org/I90344618","https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058004272","display_name":"Jiabin Jia","orcid":"https://orcid.org/0000-0001-5073-5126"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiabin Jia","raw_affiliation_strings":["Agile Tomography Group, School of Engineering, University of Edinburgh, Edinburgh, U.K."],"affiliations":[{"raw_affiliation_string":"Agile Tomography Group, School of Engineering, University of Edinburgh, Edinburgh, U.K.","institution_ids":["https://openalex.org/I98677209"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101869758"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":{"value":2880,"currency":"USD","value_usd":2880,"provenance":"doaj"},"apc_paid":{"value":2880,"currency":"USD","value_usd":2880,"provenance":"doaj"},"fwci":1.038,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":4,"citation_normalized_percentile":{"value":0.547354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":90},"biblio":{"volume":"243","issue":null,"first_page":"107861","last_page":"107861"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":1.0,"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/T12537","display_name":"Flow Measurement and Analysis","score":0.9882,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9687,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/electrical-impedance-tomography","display_name":"Electrical Impedance Tomography","score":0.85161436},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.72476447},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47885773}],"concepts":[{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.85161436},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.72476447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6532669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6016747},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.57291716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49730566},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47885773},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43171382},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43142676},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.417756},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.41472754},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.40241003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16567102},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014054","descriptor_name":"Tomography","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017097","descriptor_name":"Electric Impedance","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014054","descriptor_name":"Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cmpb.2023.107861","pdf_url":null,"source":{"id":"https://openalex.org/S138959710","display_name":"Computer Methods and Programs in Biomedicine","issn_l":"0169-2607","issn":["0169-2607","1872-7565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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},{"is_oa":true,"landing_page_url":"https://www.pure.ed.ac.uk/ws/files/389455364/High-Resolution_Conductivity_Reconstruction_by_Electrical_Impedance_Tomography_using_Structure-Aware_Hybrid-Fusion_Learning.pdf","pdf_url":"https://www.pure.ed.ac.uk/ws/files/389455364/High-Resolution_Conductivity_Reconstruction_by_Electrical_Impedance_Tomography_using_Structure-Aware_Hybrid-Fusion_Learning.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":["University of Edinburgh"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.11820/fd0f4ec8-bfc2-44cd-b21c-c404918ff452","pdf_url":"https://www.research.ed.ac.uk/files/389455364/High-Resolution_Conductivity_Reconstruction_by_Electrical_Impedance_Tomography_using_Structure-Aware_Hybrid-Fusion_Learning.pdf","source":{"id":"https://openalex.org/S4306400320","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":["University of Edinburgh"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37931580","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cmpb.2023.107861","pdf_url":null,"source":{"id":"https://openalex.org/S138959710","display_name":"Computer Methods and Programs in Biomedicine","issn_l":"0169-2607","issn":["0169-2607","1872-7565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":40,"referenced_works":["https://openalex.org/W1852124825","https://openalex.org/W1971508657","https://openalex.org/W1987213728","https://openalex.org/W2004716871","https://openalex.org/W2058765341","https://openalex.org/W2171682924","https://openalex.org/W2274326289","https://openalex.org/W2414623984","https://openalex.org/W2727602069","https://openalex.org/W2749919169","https://openalex.org/W2782053562","https://openalex.org/W2795198316","https://openalex.org/W2896344704","https://openalex.org/W2910112947","https://openalex.org/W2947836307","https://openalex.org/W2965429756","https://openalex.org/W2990050904","https://openalex.org/W3025051614","https://openalex.org/W3090731561","https://openalex.org/W3095875877","https://openalex.org/W3101681511","https://openalex.org/W3119900676","https://openalex.org/W3126710874","https://openalex.org/W3134674350","https://openalex.org/W3155422103","https://openalex.org/W3169751171","https://openalex.org/W3175515048","https://openalex.org/W3175610975","https://openalex.org/W3184547004","https://openalex.org/W3196826685","https://openalex.org/W3212340323","https://openalex.org/W4200467547","https://openalex.org/W4285070206","https://openalex.org/W4310117888","https://openalex.org/W4310859889","https://openalex.org/W4312737473","https://openalex.org/W4318963818","https://openalex.org/W4328135954","https://openalex.org/W4376954885","https://openalex.org/W845365781"],"related_works":["https://openalex.org/W4311331221","https://openalex.org/W3211685995","https://openalex.org/W3160616384","https://openalex.org/W2902419700","https://openalex.org/W2725829804","https://openalex.org/W2532315310","https://openalex.org/W2136479075","https://openalex.org/W2098962200","https://openalex.org/W2093495347","https://openalex.org/W2000128178"],"abstract_inverted_index":{"Electrical":[0],"impedance":[1],"tomography":[2],"(EIT)":[3],"has":[4],"gained":[5],"considerable":[6],"attention":[7],"in":[8,37,126,196,306],"the":[9,13,28,34,46,59,68,73,79,82,89,97,134,143,169,172,190,209,236,240,243,254,257,268,301,307,312,323],"medical":[10],"field":[11],"for":[12],"diagnosis":[14],"of":[15,33,107,149,171,303,319],"lung-related":[16],"diseases,":[17],"owing":[18],"to":[19,27,57,71,128,141,155,163,321],"its":[20,153],"non-invasive":[21],"and":[22,30,42,49,77,85,118,177,185,198,208,227,250,264,277,287],"real-time":[23],"characteristics.":[24],"However,":[25],"due":[26],"ill-posedness":[29],"underdetermined":[31],"nature":[32],"inverse":[35,309],"problem":[36],"EIT,":[38],"suboptimal":[39],"reconstruction":[40,116,165,290,305],"performance":[41,195],"reduced":[43],"robustness":[44,80],"against":[45,81],"measurement":[47,64,83,135],"noise":[48,84],"modeling":[50,86],"errors":[51,87],"are":[52,232,245,259],"common":[53],"issues.This":[54],"study":[55,313],"aims":[56],"mine":[58],"deep":[60,90,205],"feature":[61,120,131,295],"information":[62,132,296,320],"from":[63,67,133,160,297],"voltages,":[65],"acquired":[66],"EIT":[69,179,308,324],"sensor,":[70],"reconstruct":[72,142,322],"high-resolution":[74],"conductivity":[75,115,144,304,325],"distribution":[76,326],"enhance":[78],"using":[88],"learning":[91,100,206],"method.A":[92],"novel":[93],"data-driven":[94],"method":[95],"named":[96],"structure-aware":[98],"hybrid-fusion":[99],"(SA-HFL)":[101],"is":[102,105,138,152],"proposed.":[103],"SA-HFL":[104,192,237],"composed":[106],"three":[108,186],"main":[109],"components:":[110],"a":[111,114,119,329],"segmentation":[112],"branch,":[113,117],"fusion":[121],"module.":[122],"These":[123],"branches":[124,162,299],"work":[125],"tandem":[127],"extract":[129],"different":[130,157,298,317],"voltage,":[136],"which":[137],"then":[139],"fused":[140],"distribution.":[145],"The":[146,216],"unique":[147],"aspect":[148],"this":[150],"network":[151,270,285],"ability":[154],"utilize":[156],"features":[158],"extracted":[159],"various":[161],"accomplish":[164],"objectives.":[166],"To":[167],"supervise":[168],"training":[170],"network,":[173],"we":[174],"generated":[175],"regular-shaped":[176,241],"lung-shaped":[178,255],"datasets":[180],"through":[181],"numerical":[182],"calculations.The":[183],"simulations":[184],"experiments":[187],"demonstrate":[188],"that":[189,293,315],"proposed":[191,269],"exhibits":[193],"superior":[194],"qualitative":[197],"quantitative":[199],"analyses,":[200],"compared":[201],"with":[202,274],"five":[203],"cutting-edge":[204],"networks":[207],"optical":[210],"image-guided":[211],"group":[212],"sparsity":[213],"(IGGS)":[214],"method.":[215,238],"evaluation":[217],"metrics,":[218],"relative":[219],"error":[220],"(RE),":[221,247,261],"mean":[222],"structural":[223],"similarity":[224],"index":[225],"(MSSIM),":[226,249,263],"peak":[228],"signal-to-noise":[229],"ratio":[230],"(PSNR),":[231],"improved":[233],"by":[234],"implementing":[235],"For":[239,253],"dataset,":[242,256],"values":[244,258],"0.119":[246],"0.9882":[248],"31.03":[251],"(PSNR).":[252,266],"0.257":[260],"0.9151":[262],"18.67":[265],"Furthermore,":[267],"can":[271],"be":[272,328],"executed":[273],"appropriate":[275],"parameters":[276],"efficient":[278],"floating-point":[279],"operations":[280],"per":[281],"second":[282],"(FLOPs),":[283],"concerning":[284],"complexity":[286],"inference":[288],"speed.The":[289],"results":[291],"indicate":[292],"fusing":[294,316],"enhances":[300],"accuracy":[302],"problem.":[310],"Moreover,":[311],"shows":[314],"modalities":[318],"may":[327],"future":[330],"development":[331],"direction.":[332]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4387778354","counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2025-01-06T09:16:09.388424","created_date":"2023-10-20"}