{"id":"https://openalex.org/W4366723544","doi":"https://doi.org/10.1109/tkde.2023.3269017","title":"Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device","display_name":"Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4366723544","doi":"https://doi.org/10.1109/tkde.2023.3269017"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3269017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3269017","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5091139467","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0003-1983-7321"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076272801","display_name":"Ruofan Wu","orcid":"https://orcid.org/0000-0001-6826-8108"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofan Wu","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037842747","display_name":"Jiawei Guan","orcid":"https://orcid.org/0000-0002-7538-9722"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Guan","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103042903","display_name":"Zhen Zheng","orcid":"https://orcid.org/0009-0006-2692-713X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Zheng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024519576","display_name":"Xiaoguang Guo","orcid":"https://orcid.org/0000-0003-2795-2856"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Guo","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320957","display_name":"Xiao Zhang","orcid":"https://orcid.org/0009-0001-1857-1368"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008721449","display_name":"Xiaoyong Du","orcid":"https://orcid.org/0000-0002-5757-9135"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Du","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100624451","display_name":"Xipeng Shen","orcid":"https://orcid.org/0000-0003-3599-8010"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xipeng Shen","raw_affiliation_strings":["Computer Science, North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5091139467"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.9629,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76813736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"35","issue":"10","first_page":"10181","last_page":"10196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.8329765796661377},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7867217063903809},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.7636466026306152},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.703618049621582},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6732394695281982},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6540808081626892},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5887506008148193},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49915122985839844},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4854453206062317},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4744863510131836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45996102690696716},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41487985849380493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38181477785110474},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3708413243293762},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.36436623334884644},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3389526903629303},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33369022607803345},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.11996576189994812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8329765796661377},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7867217063903809},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.7636466026306152},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.703618049621582},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6732394695281982},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6540808081626892},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5887506008148193},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49915122985839844},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4854453206062317},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4744863510131836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45996102690696716},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41487985849380493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38181477785110474},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3708413243293762},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.36436623334884644},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3389526903629303},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33369022607803345},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.11996576189994812},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3269017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3269017","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2029957150","display_name":null,"funder_award_id":"61732014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5480676819","display_name":null,"funder_award_id":"62072459","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7585032202","display_name":null,"funder_award_id":"62172419","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/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1487564550","https://openalex.org/W1502916507","https://openalex.org/W1532826273","https://openalex.org/W1667072054","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1976716483","https://openalex.org/W2063683271","https://openalex.org/W2104636679","https://openalex.org/W2117539524","https://openalex.org/W2119144962","https://openalex.org/W2172654076","https://openalex.org/W2188636114","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2279098554","https://openalex.org/W2300242332","https://openalex.org/W2555007564","https://openalex.org/W2560017826","https://openalex.org/W2616033262","https://openalex.org/W2707890836","https://openalex.org/W2752236330","https://openalex.org/W2763068163","https://openalex.org/W2766839578","https://openalex.org/W2786374423","https://openalex.org/W2796939565","https://openalex.org/W2805997383","https://openalex.org/W2888958910","https://openalex.org/W2889647155","https://openalex.org/W2891870102","https://openalex.org/W2948252829","https://openalex.org/W2951973024","https://openalex.org/W2952777853","https://openalex.org/W2960833983","https://openalex.org/W2963000224","https://openalex.org/W2963122961","https://openalex.org/W2963446712","https://openalex.org/W2963918968","https://openalex.org/W2970521720","https://openalex.org/W2997109118","https://openalex.org/W2998957070","https://openalex.org/W3000160544","https://openalex.org/W3013931120","https://openalex.org/W3015869703","https://openalex.org/W3029054683","https://openalex.org/W3029187551","https://openalex.org/W3030384569","https://openalex.org/W3032331856","https://openalex.org/W3083261337","https://openalex.org/W3087592560","https://openalex.org/W3104493122","https://openalex.org/W3116059414","https://openalex.org/W3118608800","https://openalex.org/W3134700402","https://openalex.org/W4206131100","https://openalex.org/W4210565123","https://openalex.org/W4224310326","https://openalex.org/W4297775537","https://openalex.org/W6629956336","https://openalex.org/W6631798071","https://openalex.org/W6637187546","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6677580257","https://openalex.org/W6686746804","https://openalex.org/W6695314431","https://openalex.org/W6698200048","https://openalex.org/W6725543821","https://openalex.org/W6730047919","https://openalex.org/W6737664043","https://openalex.org/W6739917289","https://openalex.org/W6745499037","https://openalex.org/W6752012617","https://openalex.org/W6754777574","https://openalex.org/W6787972765","https://openalex.org/W6791695805"],"related_works":["https://openalex.org/W3157543420","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379"],"abstract_inverted_index":{"Deep":[0],"learning":[1,38],"on":[2,73,202,216],"edge":[3,79,210],"devices":[4,22],"is":[5,69,249,275],"becoming":[6],"increasingly":[7],"important,":[8],"especially":[9],"with":[10,150,263],"the":[11,18,42,63,66,90,97,129,164,167,177,195,224,235,259,285,293,304],"explosion":[12],"of":[13,21,58,93,230,287,292],"IoT":[14,25],"devices.":[15,80],"For":[16],"example,":[17],"total":[19],"number":[20,286],"connected":[23],"to":[24,62,251,290,299],"reaches":[26],"29":[27],"billion":[28],"in":[29,47,181,191,281],"2022.":[30],"Convolutional":[31],"neural":[32,45],"networks":[33,46],"(CNNs),":[34],"as":[35,78],"common":[36],"deep":[37,148],"representatives,":[39],"are":[40],"among":[41],"most":[43],"popular":[44,218],"knowledge":[48],"and":[49,85,132,197,205,212],"data":[50,131],"engineering.":[51],"However,":[52],"CNN":[53,94,254],"employs":[54],"a":[55,100,140,182],"high":[56,86],"degree":[57],"computing.":[59],"In":[60,135],"comparison":[61],"training":[64],"phase,":[65],"inference":[67,142,280],"process":[68],"more":[70],"frequently":[71],"done":[72],"low-power":[74],"computing":[75,83],"equipments,":[76],"such":[77],"The":[81],"limited":[82],"resource":[84],"computation":[87,133],"pressure":[88],"limit":[89],"effective":[91],"use":[92],"algorithms":[95],"at":[96],"edge.":[98],"Fortunately,":[99],"minimal":[101,169],"filtering":[102,170],"algorithm":[103],"called":[104,144],"Winograd":[105,117,151,225,238,253,306],"can":[106,119,162,242],"reduce":[107],"convolution":[108,118,226,288],"calculations":[109],"by":[110,123,172,227],"minimizing":[111],"multiplication":[112],"operations.":[113],"We":[114,199],"find":[115],"that":[116,215],"be":[120],"accelerated":[121],"further":[122,153,222],"<i>deep":[124],"reuse</i>":[125],"technique,":[126],"which":[127,146],"reuses":[128],"similar":[130],"processes.":[134],"this":[136],"paper,":[137],"we":[138],"propose":[139],"new":[141],"method,":[143],"DREW,":[145],"combines":[147],"reuse":[149],"for":[152,234,279],"accelerating":[154],"CNNs.":[155],"DREW":[156,221,240,248,256,283],"handles":[157],"three":[158],"difficulties.":[159],"First,":[160],"it":[161,175,186],"detect":[163],"similarities":[165],"from":[166],"complex":[168],"patterns":[171],"clustering.":[173],"Second,":[174],"reduces":[176,284],"online":[178],"clustering":[179,192],"cost":[180],"reasonable":[183],"range.":[184],"Third,":[185],"provides":[187],"an":[188,228,276],"adjustable":[189],"method":[190],"granularity":[193],"balancing":[194],"performance":[196,261],"accuracy.":[198],"perform":[200],"evaluation":[201],"Raspberry":[203],"PI":[204],"NVIDIA":[206],"Jetson":[207],"AGX":[208],"Xavier":[209],"devices,":[211],"experiments":[213],"show":[214],"five":[217],"networks,":[219],"1)":[220],"accelerates":[223],"average":[229,260],"8.27\u00d7":[231],"speedup.":[232,245],"Even":[233],"highly":[236],"parallel":[237],"implementation,":[239],"still":[241],"provide":[243],"2.21\u00d7":[244],"2)":[246],"When":[247],"applied":[250],"end-to-end":[252],"inferences,":[255],"achieves":[257],"5.94\u00d7":[258],"speedup":[262],"no":[264],"(":[265],"<inline-formula><tex-math":[266],"notation=\"LaTeX\">$&lt;":[267],"$</tex-math></inline-formula>":[268],"0.4%)":[269],"accuracy":[270],"loss.":[271],"3)":[272],"Energy":[273],"consumption":[274],"important":[277],"factor":[278],"practice.":[282],"operations":[289],"10%":[291],"original":[294,305],"operations,":[295],"thus":[296],"achieving":[297],"up":[298],"60%":[300],"energy-efficiency":[301],"benefits":[302],"than":[303],"inference.":[307]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
