{"id":"https://openalex.org/W3012179842","doi":"https://doi.org/10.1109/isocc47750.2019.9027647","title":"A Novel Hybrid Analog Design Optimizer with Particle Swarm Optimization and modern Deep Neural Networks","display_name":"A Novel Hybrid Analog Design Optimizer with Particle Swarm Optimization and modern Deep Neural Networks","publication_year":2019,"publication_date":"2019-10-06","ids":{"openalex":"https://openalex.org/W3012179842","doi":"https://doi.org/10.1109/isocc47750.2019.9027647","mag":"3012179842"},"language":"en","primary_location":{"id":"doi:10.1109/isocc47750.2019.9027647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc47750.2019.9027647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International SoC Design Conference (ISOCC)","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/A5008862731","display_name":"Ahmed Elsiginy","orcid":null},"institutions":[{"id":"https://openalex.org/I105695857","display_name":"Siemens (Hungary)","ror":"https://ror.org/01rk7mv85","country_code":"HU","type":"company","lineage":["https://openalex.org/I105695857","https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I4210099704","display_name":"Mentor","ror":"https://ror.org/016grqh48","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210099704"]}],"countries":["GB","HU"],"is_corresponding":false,"raw_author_name":"Ahmed Elsiginy","raw_affiliation_strings":["Mentor Graphics Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mentor Graphics Corporation","institution_ids":["https://openalex.org/I105695857","https://openalex.org/I4210099704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102842862","display_name":"Mohamed Elmahdy","orcid":"https://orcid.org/0000-0003-1570-9015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Elmahdy","raw_affiliation_strings":["Raisa Energy LLC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raisa Energy LLC","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081950400","display_name":"Eman Azab","orcid":"https://orcid.org/0000-0002-5558-6948"},"institutions":[{"id":"https://openalex.org/I96823368","display_name":"German University in Cairo","ror":"https://ror.org/03rjt0z37","country_code":"EG","type":"education","lineage":["https://openalex.org/I96823368"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Eman Azab","raw_affiliation_strings":["The German University in Cairo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The German University in Cairo","institution_ids":["https://openalex.org/I96823368"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3633,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63594348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"22 2","issue":null,"first_page":"212","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998000264167786,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998000264167786,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9983999729156494,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8569301962852478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673231303691864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6297147870063782},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5765037536621094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5680667161941528},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.43709948658943176},{"id":"https://openalex.org/keywords/analogue-electronics","display_name":"Analogue electronics","score":0.41320544481277466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32047396898269653},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.2442934811115265},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1920240819454193}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8569301962852478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673231303691864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6297147870063782},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5765037536621094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680667161941528},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.43709948658943176},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.41320544481277466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32047396898269653},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.2442934811115265},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1920240819454193},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc47750.2019.9027647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc47750.2019.9027647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2747946082","https://openalex.org/W2775705551","https://openalex.org/W2789666724","https://openalex.org/W2807893197","https://openalex.org/W6743164866"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2132113279","https://openalex.org/W2368795850","https://openalex.org/W2113224065"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,10,17,25],"novel":[4],"hybrid":[5,61],"optimization":[6],"technique":[7,63],"that":[8],"combines":[9],"Particle":[11],"Swarm":[12],"Optimization":[13],"(PSO)":[14],"engine":[15],"with":[16],"multi-output":[18],"Deep":[19,33,79],"Neural":[20],"Network":[21],"(DNN)":[22],"to":[23,40,87],"obtain":[24],"fast":[26],"and":[27,72],"accurate":[28],"analog":[29],"circuit":[30],"optimizer.":[31],"A":[32,50],"Learning":[34,80],"supervised":[35],"regression":[36],"model":[37,71],"is":[38,53],"used":[39,54],"replace":[41],"the":[42,47,56,60,66,69,73,76,84,88],"slow":[43],"simulations":[44],"required":[45],"in":[46],"standard":[48,89],"PSO.":[49,77],"CMOS":[51],"miller-opamp":[52],"as":[55],"design":[57],"problem.":[58],"Using":[59],"PSO-DNN":[62],"has":[64,82],"combined":[65],"speed":[67],"of":[68,75],"DNN":[70],"accuracy":[74,85],"Moreover,":[78],"modeling":[81],"improved":[83],"compared":[86],"machine":[90],"learning":[91],"techniques.":[92]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}