{"id":"https://openalex.org/W4400232371","doi":"https://doi.org/10.1109/iscas58744.2024.10558634","title":"High Reliable and Accurate Stochastic Computing-based Artificial Neural Network Architecture Design","display_name":"High Reliable and Accurate Stochastic Computing-based Artificial Neural Network Architecture Design","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400232371","doi":"https://doi.org/10.1109/iscas58744.2024.10558634"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-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/A5088517936","display_name":"Kun-Chih Chen","orcid":"https://orcid.org/0000-0002-8908-468X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Chih Jimmy Chen","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Institute of Electronics,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Institute of Electronics,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099842294","display_name":"Wei-Ren Syu","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Ren Syu","raw_affiliation_strings":["National Sun Yat-Sen University,Department of Computer Science and Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Sun Yat-Sen University,Department of Computer Science and Engineering,Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8328,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87229518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.5490999817848206,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.5490999817848206,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7611010670661926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6209204196929932},{"id":"https://openalex.org/keywords/stochastic-computing","display_name":"Stochastic computing","score":0.5695323348045349},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.49112626910209656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4432271420955658},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.43007487058639526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611010670661926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6209204196929932},{"id":"https://openalex.org/C2780971903","wikidata":"https://www.wikidata.org/wiki/Q2933705","display_name":"Stochastic computing","level":3,"score":0.5695323348045349},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.49112626910209656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4432271420955658},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.43007487058639526},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1968016286","https://openalex.org/W2098470668","https://openalex.org/W2151770284","https://openalex.org/W2769269352","https://openalex.org/W2770265919","https://openalex.org/W2773616461","https://openalex.org/W2774812352","https://openalex.org/W2943422048","https://openalex.org/W2963671426","https://openalex.org/W2969580338","https://openalex.org/W2982668311","https://openalex.org/W3003560254","https://openalex.org/W3092411122","https://openalex.org/W3157606747","https://openalex.org/W3212049189"],"related_works":["https://openalex.org/W2800155864","https://openalex.org/W2955267291","https://openalex.org/W2770413419","https://openalex.org/W4200623496","https://openalex.org/W4322624379","https://openalex.org/W2294708870","https://openalex.org/W3157606747","https://openalex.org/W2402098947","https://openalex.org/W2892914188","https://openalex.org/W2038503502"],"abstract_inverted_index":{"Hardware":[0],"reliability":[1],"has":[2,80],"emerged":[3],"as":[4],"a":[5,129,140],"paramount":[6],"consideration":[7],"in":[8,16],"the":[9,40,63,75,105,109,114,119,147,156,160,170,183,202],"modern":[10],"Artificial":[11],"Neural":[12],"Network":[13],"(ANN)":[14],"design":[15,69,115,164],"recent":[17],"years.":[18],"The":[19],"un-reliable":[20],"ANN":[21,152,158,163,186,204],"leads":[22],"to":[23,44,62,83,88,117,138,174,190,196],"un-trustable":[24],"inference":[25],"results":[26],"and":[27,59,71,133,145,168,194],"disasters":[28],"(e.g.,":[29],"finance":[30],"system":[31,34],"or":[32,50],"transportation":[33],"crash).":[35],"To":[36,68,123],"ensure":[37],"hardware":[38,57],"reliability,":[39],"common":[41],"way":[42,87],"is":[43,113],"insert":[45],"some":[46],"error":[47],"correctness":[48],"blocks":[49],"fault-tolerant":[51,90],"computing":[52,91,96,110,121,143,166],"blocks,":[53],"which":[54],"bring":[55],"considerable":[56],"overhead":[58],"are":[60],"improper":[61],"resource-limited":[64],"edge":[65],"AI":[66],"designs.":[67],"hardware-friendly":[70],"highly":[72],"reliable":[73,141],"hardware,":[74],"Stochastic":[76],"Computing":[77],"(SC)":[78],"method":[79,137],"been":[81,99],"proven":[82],"be":[84],"an":[85],"efficient":[86],"achieve":[89,139],"goals.":[92],"Consequently,":[93],"many":[94],"SC-based":[95,120,142,151,162,185],"architectures":[97],"have":[98],"introduced":[100],"recently.":[101],"However,":[102],"because":[103],"of":[104,149],"stochastic":[106],"number":[107],"representation,":[108],"accuracy":[111,148,167],"issue":[112],"challenge":[116],"implement":[118],"architecture.":[122,205],"solve":[124],"this":[125],"problem,":[126],"we":[127],"propose":[128],"novel":[130],"scaling-free":[131],"adder":[132],"input":[134],"data":[135],"pre-processing":[136],"architecture":[144,187],"improve":[146],"conventional":[150,203],"design.":[153],"Compared":[154],"with":[155,201],"traditional":[157],"design,":[159],"proposed":[161,184],"maintains":[165],"enhances":[169],"performance":[171],"by":[172],"32%":[173],"55%":[175],"while":[176],"facing":[177],"serious":[178],"fault":[179],"injection.":[180],"In":[181],"addition,":[182],"reduces":[188],"48%":[189],"81%":[191],"power":[192],"consumption":[193],"51%":[195],"92%":[197],"area":[198],"cost":[199],"compared":[200]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
