{"id":"https://openalex.org/W4312355976","doi":"https://doi.org/10.1109/iscas48785.2022.9937475","title":"Approximate In-Memory Computing using Memristive IMPLY Logic and its Application to Image Processing","display_name":"Approximate In-Memory Computing using Memristive IMPLY Logic and its Application to Image Processing","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312355976","doi":"https://doi.org/10.1109/iscas48785.2022.9937475"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937475","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027964211","display_name":"Seyed Erfan Fatemieh","orcid":"https://orcid.org/0000-0002-6470-9903"},"institutions":[{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyed Erfan Fatemieh","raw_affiliation_strings":["University of Isfahan,Isfahan,Iran","University of Isfahan, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Isfahan,Isfahan,Iran","institution_ids":["https://openalex.org/I39268498"]},{"raw_affiliation_string":"University of Isfahan, Isfahan, Iran","institution_ids":["https://openalex.org/I39268498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031506498","display_name":"Mohammad Reza Reshadinezhad","orcid":"https://orcid.org/0000-0003-4859-9879"},"institutions":[{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Reza Reshadinezhad","raw_affiliation_strings":["University of Isfahan,Isfahan,Iran","University of Isfahan, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Isfahan,Isfahan,Iran","institution_ids":["https://openalex.org/I39268498"]},{"raw_affiliation_string":"University of Isfahan, Isfahan, Iran","institution_ids":["https://openalex.org/I39268498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050080301","display_name":"Nima TaheriNejad","orcid":"https://orcid.org/0000-0002-1295-0332"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Nima TaheriNejad","raw_affiliation_strings":["TU Wien,Vienna,Austria","TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien,Vienna,Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3115","last_page":"3119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10502","display_name":"Advanced Memory and Neural Computing","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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9991000294685364,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/computer-science","display_name":"Computer science","score":0.7638978362083435},{"id":"https://openalex.org/keywords/stateful-firewall","display_name":"Stateful firewall","score":0.7379971146583557},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.6872636079788208},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.6402444839477539},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.5892448425292969},{"id":"https://openalex.org/keywords/in-memory-processing","display_name":"In-Memory Processing","score":0.5146735310554504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4579003155231476},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4515310227870941},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.4174700081348419},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4113708734512329},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3228488564491272},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2123052179813385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1828904151916504},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.10926687717437744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638978362083435},{"id":"https://openalex.org/C22927095","wikidata":"https://www.wikidata.org/wiki/Q1784206","display_name":"Stateful firewall","level":3,"score":0.7379971146583557},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.6872636079788208},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.6402444839477539},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.5892448425292969},{"id":"https://openalex.org/C123593499","wikidata":"https://www.wikidata.org/wiki/Q6008583","display_name":"In-Memory Processing","level":5,"score":0.5146735310554504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4579003155231476},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4515310227870941},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.4174700081348419},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4113708734512329},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3228488564491272},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2123052179813385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1828904151916504},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.10926687717437744},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.0},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.0},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937475","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.550000011920929,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1492513355","https://openalex.org/W1578783943","https://openalex.org/W1986623396","https://openalex.org/W2025674646","https://openalex.org/W2052121047","https://openalex.org/W2066280488","https://openalex.org/W2068007821","https://openalex.org/W2081729575","https://openalex.org/W2085205847","https://openalex.org/W2122148191","https://openalex.org/W2133665775","https://openalex.org/W2265166184","https://openalex.org/W2345622364","https://openalex.org/W2346541696","https://openalex.org/W2396622873","https://openalex.org/W2522667948","https://openalex.org/W2529457757","https://openalex.org/W2557703348","https://openalex.org/W2604191638","https://openalex.org/W2664249309","https://openalex.org/W2700200092","https://openalex.org/W2742536119","https://openalex.org/W2760545052","https://openalex.org/W2778935320","https://openalex.org/W2799233050","https://openalex.org/W2809226946","https://openalex.org/W2900379535","https://openalex.org/W2972614379","https://openalex.org/W2979553033","https://openalex.org/W3001855497","https://openalex.org/W3002848853","https://openalex.org/W3048903267","https://openalex.org/W3091279293","https://openalex.org/W3091788314","https://openalex.org/W3128667769","https://openalex.org/W3133865265","https://openalex.org/W3136861880","https://openalex.org/W4211211399","https://openalex.org/W6704402733"],"related_works":["https://openalex.org/W1986623396","https://openalex.org/W2783169170","https://openalex.org/W2952846446","https://openalex.org/W4301811571","https://openalex.org/W2056839951","https://openalex.org/W2783300758","https://openalex.org/W4383888166","https://openalex.org/W2641409410","https://openalex.org/W2928221274","https://openalex.org/W4312355976"],"abstract_inverted_index":{"Approximate":[0,71],"computing":[1,72],"is":[2,32,62],"a":[3,53,95,170],"new":[4],"way":[5],"of":[6,29],"performing":[7],"calculations":[8,31,45],"in":[9,23,73,113,165],"digital":[10],"systems.":[11],"By":[12],"applying":[13],"this":[14,86],"method,":[15],"performance":[16],"metrics,":[17],"e.g.,":[18],"speed,":[19],"are":[20,35],"improved,":[21],"but":[22],"return":[24],"for":[25,56,68,98],"this,":[26],"the":[27,30,63,151,162],"accuracy":[28],"reduced.":[33],"Memristors":[34],"electrical":[36],"elements":[37],"that":[38,150],"can":[39,154],"be":[40],"used":[41],"to":[42,102,125,157],"perform":[43],"logical":[44],"along":[46],"with":[47],"data":[48],"storage.":[49],"This":[50],"makes":[51],"memristors":[52],"good":[54],"choice":[55],"In-Memory":[57],"Computation":[58],"(IMC).":[59],"IMPLY":[60],"logic":[61,66],"first":[64],"stateful":[65,78],"proposed":[67,108,152],"memristive":[69,77],"IMC.":[70],"memory,":[74],"particularly":[75],"using":[76],"logic,":[79],"has":[80],"not":[81],"been":[82],"explored":[83],"yet.":[84],"In":[85,131],"paper,":[87],"we":[88],"combine":[89],"these":[90],"two":[91],"concepts":[92],"and":[93,118,141],"propose":[94],"novel":[96],"algorithm":[97],"serial":[99],"IMPLY-based":[100],"adders":[101],"implement":[103],"an":[104,114,166],"approximate":[105,109],"full-adder.":[106],"The":[107],"full-adder":[110],"was":[111],"assessed":[112],"image":[115,119],"processing":[116],"application,":[117],"quality":[120,135],"metrics":[121,136],"like":[122,137],"Peak":[123],"Signal":[124],"Noise":[126],"Ratio":[127],"(PSNR)":[128],"were":[129,145],"calculated.":[130],"addition,":[132],"different":[133],"error":[134,164],"Error":[138],"Distance":[139],"(ED)":[140],"Mean":[142],"ED":[143],"(MED)":[144],"assessed.":[146],"Our":[147],"study":[148],"shows":[149],"method":[153],"achieve":[155],"up":[156],"40%":[158],"improvement":[159],"whereas":[160],"maintaining":[161],"introduced":[163],"acceptable":[167],"range":[168],"(i.e.,":[169],"PSNR":[171],"above":[172],"32.4).":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
