{"id":"https://openalex.org/W4256723896","doi":"https://doi.org/10.1109/iccad.2014.7001337","title":"Cellular neural networks for image analysis using steep slope devices","display_name":"Cellular neural networks for image analysis using steep slope devices","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W4256723896","doi":"https://doi.org/10.1109/iccad.2014.7001337"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2014.7001337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2014.7001337","pdf_url":null,"source":{"id":"https://openalex.org/S4363608466","display_name":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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/A5021416915","display_name":"Indranil Palit","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Indranil Palit","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004724074","display_name":"Qiuwen Lou","orcid":"https://orcid.org/0000-0002-9266-8125"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiuwen Lou","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003032564","display_name":"Michael Niemier","orcid":"https://orcid.org/0000-0001-7776-4306"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Niemier","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058897428","display_name":"Behnam Sedighi","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnam Sedighi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013446507","display_name":"Joseph Nahas","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Nahas","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600905","display_name":"Xiaobo Sharon Hu","orcid":"https://orcid.org/0000-0002-6636-9738"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"X. Sharon Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9995999932289124,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6842784285545349},{"id":"https://openalex.org/keywords/cellular-neural-network","display_name":"Cellular neural network","score":0.6414313316345215},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.5552946329116821},{"id":"https://openalex.org/keywords/von-neumann-architecture","display_name":"Von Neumann architecture","score":0.5423082709312439},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5254064202308655},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5099881887435913},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.4915805757045746},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40398794412612915},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.40162044763565063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3723444938659668},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3380466103553772},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33221518993377686},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3286024332046509},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32825350761413574},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.27404147386550903},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2616504728794098},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14954543113708496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6842784285545349},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.6414313316345215},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.5552946329116821},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.5423082709312439},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5254064202308655},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5099881887435913},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.4915805757045746},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40398794412612915},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.40162044763565063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3723444938659668},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3380466103553772},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33221518993377686},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3286024332046509},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32825350761413574},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.27404147386550903},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2616504728794098},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14954543113708496},{"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/iccad.2014.7001337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2014.7001337","pdf_url":null,"source":{"id":"https://openalex.org/S4363608466","display_name":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1988572388","https://openalex.org/W2006045909","https://openalex.org/W2009624223","https://openalex.org/W2013261981","https://openalex.org/W2023302297","https://openalex.org/W2034131035","https://openalex.org/W2041711956","https://openalex.org/W2053851732","https://openalex.org/W2056717940","https://openalex.org/W2084192127","https://openalex.org/W2091794600","https://openalex.org/W2099559178","https://openalex.org/W2100235537","https://openalex.org/W2106548008","https://openalex.org/W2117114975","https://openalex.org/W2124214878","https://openalex.org/W2135475228","https://openalex.org/W2137388616","https://openalex.org/W2143165843","https://openalex.org/W2151162785","https://openalex.org/W2153830758","https://openalex.org/W2160121923","https://openalex.org/W2161464895","https://openalex.org/W4237197502","https://openalex.org/W4250223358"],"related_works":["https://openalex.org/W4293114473","https://openalex.org/W2118596179","https://openalex.org/W1608474976","https://openalex.org/W639021380","https://openalex.org/W2097974671","https://openalex.org/W2143093341","https://openalex.org/W2613038785","https://openalex.org/W82439130","https://openalex.org/W1986914234","https://openalex.org/W1912664585"],"abstract_inverted_index":{"Traditional":[0],"CMOS":[1],"based":[2],"von":[3],"Neumann":[4,51],"architectures":[5],"face":[6],"daunting":[7],"challenges":[8],"in":[9,74],"performing":[10],"complex":[11],"computational":[12,114,170],"tasks":[13],"at":[14],"high":[15],"speed":[16],"and":[17],"with":[18,82,112],"low":[19,91],"power":[20,92,140],"on":[21],"spatio-temporal":[22],"data,":[23],"e.g.,":[24],"image":[25,45,80,174],"processing,":[26],"pattern":[27],"recognition,":[28],"etc.":[29],"In":[30,59],"this":[31],"study,":[32],"we":[33],"discuss":[34],"the":[35,49,61,66,69,143,162],"utilities":[36],"of":[37,54,65,142,154,161],"various":[38],"steep":[39,62],"slope,":[40],"beyond-CMOS":[41],"emerging":[42,165],"devices":[43,67,97,134,166],"for":[44,118,172],"processing":[46,81,175],"applications":[47],"within":[48],"non-von":[50],"computing":[52],"paradigm":[53],"cellular":[55],"neural":[56],"networks":[57],"(CNNs).":[58],"general,":[60],"subthreshold":[63],"swing":[64],"obviates":[68],"output":[70],"transfer":[71],"hardware":[72,120],"used":[73],"a":[75,110],"conventional":[76,128],"CNN":[77,156],"cell.":[78,157],"For":[79,94],"binary":[83],"stable":[84],"outputs,":[85],"Tunnelling":[86],"FETs":[87,103],"(TFETs)":[88],"can":[89,135],"facilitate":[90],"operation.":[93],"multi-valued":[95],"problems,":[96],"like":[98],"graphene":[99],"transistors,":[100],"Symmetric":[101],"tunnelling":[102],"(SymFETs)":[104],"might":[105],"be":[106],"leveraged":[107],"to":[108,124,138],"solve":[109],"problem":[111],"fewer":[113],"steps.":[115],"The":[116],"potential":[117],"additional":[119],"reduction":[121],"when":[122],"compared":[123],"functional":[125],"equivalents":[126],"via":[127,164],"CNNs":[129],"is":[130],"also":[131,136],"possible.":[132],"Emerging":[133],"lead":[137],"lower":[139],"implementations":[141,160],"voltage":[144],"controlled":[145],"current":[146],"sources":[147],"(VCCSs)":[148],"that":[149],"are":[150],"an":[151],"integral":[152],"component":[153],"any":[155],"Furthermore,":[158],"non-linear":[159],"VCCSs":[163],"could":[167],"enable":[168],"simpler":[169],"paths":[171],"many":[173],"tasks.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
