{"id":"https://openalex.org/W2888259257","doi":"https://doi.org/10.1109/saci.2018.8440953","title":"Embedded Solutions for Deep Neural Networks Implementation","display_name":"Embedded Solutions for Deep Neural Networks Implementation","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2888259257","doi":"https://doi.org/10.1109/saci.2018.8440953","mag":"2888259257"},"language":"en","primary_location":{"id":"doi:10.1109/saci.2018.8440953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2018.8440953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","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/A5029575648","display_name":"Adrian-Aliosa Erofei","orcid":null},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Adrian-Aliosa Erofei","raw_affiliation_strings":["Applied Electronics Department, Politehnica University Timisoara, Timi\u015foara, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Electronics Department, Politehnica University Timisoara, Timi\u015foara, Rom\u00e2nia","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037775530","display_name":"Cristian Druta","orcid":"https://orcid.org/0000-0002-7813-0978"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Cristian-Filip Druta","raw_affiliation_strings":["Applied Electronics Department, Politehnica University Timisoara, Timi\u015foara, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Electronics Department, Politehnica University Timisoara, Timi\u015foara, Rom\u00e2nia","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037751847","display_name":"C\u0103t\u0103lin Daniel C\u0103leanu","orcid":"https://orcid.org/0000-0002-0252-7047"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Catalin Daniel Caleanu","raw_affiliation_strings":["Applied Electronics Department, Politehnica University Timisoara, Timi\u015foara, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Electronics Department, Politehnica University Timisoara, Timi\u015foara, Rom\u00e2nia","institution_ids":["https://openalex.org/I3122695212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3122695212"],"apc_list":null,"apc_paid":null,"fwci":0.4563,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75023082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"000425","last_page":"000430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10320","display_name":"Neural Networks and Applications","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9977999925613403,"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":0.8064464330673218},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7871707677841187},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6728287935256958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6472862958908081},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6405183672904968},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6344039440155029},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5279342532157898},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.44985613226890564},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.43289878964424133},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42040205001831055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3835405111312866},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3612551689147949},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3212347626686096},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1910439431667328},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10623979568481445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064464330673218},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7871707677841187},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6728287935256958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6472862958908081},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6405183672904968},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6344039440155029},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5279342532157898},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.44985613226890564},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.43289878964424133},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42040205001831055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3835405111312866},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3612551689147949},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3212347626686096},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1910439431667328},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10623979568481445},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci.2018.8440953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2018.8440953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2276486856","https://openalex.org/W2295746808","https://openalex.org/W2527036487","https://openalex.org/W2919115771","https://openalex.org/W2963674387","https://openalex.org/W4231109964","https://openalex.org/W6730267373"],"related_works":["https://openalex.org/W2045183646","https://openalex.org/W2162409446","https://openalex.org/W2109463584","https://openalex.org/W2504075107","https://openalex.org/W2354058185","https://openalex.org/W2055243143","https://openalex.org/W3014500535","https://openalex.org/W3042419602","https://openalex.org/W2966649771","https://openalex.org/W4285818394"],"abstract_inverted_index":{"Deep":[0,120],"Neural":[1,121],"Networks":[2,122],"and":[3,130,145],"its":[4],"associate":[5],"learning":[6,86],"paradigm-Deep":[7],"Learning-represents":[8],"today":[9],"a":[10],"breakthrough":[11],"in":[12,24,29,75],"the":[13,20,39,48,71,81,85,90,95,126,139,152],"field":[14],"of":[15,42,51,67,94,141],"Artificial":[16],"Intelligence":[17],"due":[18],"to":[19,38,55,63],"impressive":[21],"results":[22,137],"obtained":[23],"many":[25],"application":[26],"areas,":[27],"especially":[28],"image,":[30],"video":[31],"or":[32],"speech":[33],"processing.":[34],"The":[35],"main":[36,127],"hindrance":[37],"development":[40],"process":[41,87,154],"such":[43,57],"applications":[44],"is":[45],"represented":[46],"by":[47],"vast":[49],"amount":[50],"computational":[52],"power":[53],"needed":[54],"train":[56],"structures.":[58],"Various":[59],"hardware":[60,101,143],"solutions":[61,118],"arose":[62],"this":[64],"problem,":[65],"most":[66],"them":[68],"relying":[69],"on":[70],"intrinsic":[72],"parallelism":[73],"found":[74],"modern":[76],"Graphical":[77],"Processing":[78],"Units.":[79],"On":[80],"other":[82],"hand,":[83],"once":[84],"was":[88],"finished,":[89],"functional":[91],"phase":[92],"(inference)":[93],"neural":[96],"network":[97],"require":[98],"substantially":[99,150],"less":[100],"resources":[102],"enabling":[103],"thus":[104],"potential":[105],"realtime":[106],"solutions.":[107],"Our":[108],"work":[109],"provides":[110],"an":[111],"extensive":[112],"overview":[113],"regarding":[114],"currently":[115],"available":[116],"embedded":[117],"for":[119],"implementation,":[123],"pointing":[124],"out":[125],"characteristics,":[128],"advantages":[129],"disadvantages.":[131],"We":[132],"also":[133],"demonstrate":[134],"through":[135],"experimental":[136],"that":[138],"effect":[140],"combined":[142],"optimization":[144],"suitable":[146],"deep":[147],"architecture":[148],"could":[149],"decrease":[151],"inference":[153],"execution":[155],"time.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}