{"id":"https://openalex.org/W4205409270","doi":"https://doi.org/10.1109/icm52667.2021.9664939","title":"An Analog Bayesian Classifier Implementation, for Thyroid Disease Detection, based on a Low-Power, Current-Mode Gaussian Function Circuit","display_name":"An Analog Bayesian Classifier Implementation, for Thyroid Disease Detection, based on a Low-Power, Current-Mode Gaussian Function Circuit","publication_year":2021,"publication_date":"2021-12-19","ids":{"openalex":"https://openalex.org/W4205409270","doi":"https://doi.org/10.1109/icm52667.2021.9664939"},"language":"en","primary_location":{"id":"doi:10.1109/icm52667.2021.9664939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm52667.2021.9664939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Microelectronics (ICM)","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/A5024524906","display_name":"Vassilis Alimisis","orcid":"https://orcid.org/0000-0002-2090-1493"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Vassilis Alimisis","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089507240","display_name":"Georgios Gennis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Gennis","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044099113","display_name":"Christos Dimas","orcid":"https://orcid.org/0000-0002-8641-2414"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Dimas","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013213336","display_name":"Paul P. Sotiriadis","orcid":"https://orcid.org/0000-0001-6030-4645"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paul P. Sotiriadis","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024524906"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":2.2068,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.87645329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9555000066757202,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9555000066757202,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9108999967575073,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6058539152145386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5721780061721802},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5571350455284119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4332296550273895},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.42916861176490784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4227652847766876},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3836158215999603},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17473691701889038},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1667517125606537}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6058539152145386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5721780061721802},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5571350455284119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4332296550273895},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.42916861176490784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4227652847766876},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3836158215999603},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17473691701889038},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1667517125606537},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icm52667.2021.9664939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm52667.2021.9664939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6399999856948853,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W649475307","https://openalex.org/W2084812512","https://openalex.org/W2115233498","https://openalex.org/W2118978221","https://openalex.org/W2139016795","https://openalex.org/W2392395307","https://openalex.org/W2540279855","https://openalex.org/W2548036931","https://openalex.org/W2896122000","https://openalex.org/W3085815553","https://openalex.org/W3156191978","https://openalex.org/W3183405164","https://openalex.org/W3200687168","https://openalex.org/W3206058553"],"related_works":["https://openalex.org/W2140288152","https://openalex.org/W2963637926","https://openalex.org/W1921169094","https://openalex.org/W2799769525","https://openalex.org/W2048140462","https://openalex.org/W366410996","https://openalex.org/W1966851638","https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W3056417032"],"abstract_inverted_index":{"The":[0,93,108,121],"thyroid":[1,50,57,90],"gland":[2],"is":[3,95,115,124],"a":[4,32,56,65,76,86,98,118],"small":[5],"organ":[6],"that\u2019s":[7],"located":[8],"in":[9,35,126],"the":[10,13,17,26,40,46,71,104,112,135],"front":[11],"of":[12,49,85,111],"neck,":[14],"wrapped":[15],"around":[16],"windpipe.":[18],"\u03a4hyroid":[19],"releases":[20],"and":[21,68,103,131],"controls":[22],"hormones":[23],"that":[24],"help":[25],"metabolism":[27],"work":[28,74],"correctly.":[29],"Metabolism":[30],"plays":[31],"main":[33],"role":[34],"many":[36],"different":[37],"systems":[38],"throughout":[39],"human":[41],"body.":[42],"Thyroid":[43],"disorder":[44],"involves":[45],"abnormal":[47],"production":[48],"hormones.":[51],"In":[52],"this":[53],"regard,":[54],"if":[55],"disease":[58,91],"could":[59,63],"be":[60],"detected,":[61],"patients":[62],"take":[64],"specific":[66],"treatment":[67],"greatly":[69],"reduce":[70],"symptoms.":[72],"This":[73],"proposes":[75],"novel":[77],"low":[78,80],"power,":[79],"voltage":[81],"(0.6V)":[82],"analog":[83,113],"architecture":[84,94,123],"Bayesian":[87],"classifier":[88,114],"for":[89],"detection.":[92],"based":[96],"on":[97],"new":[99],"Gaussian":[100],"function":[101],"circuit":[102],"Lazzaro":[105],"Winner-Take-All":[106],"circuit.":[107],"proper":[109],"operation":[110],"verified":[116],"using":[117,134],"real-world":[119],"dataset.":[120],"proposed":[122],"realized":[125],"TSMC":[127],"90nm":[128],"CMOS":[129],"process":[130],"was":[132],"simulated":[133],"Cadence":[136],"IC":[137],"Suite.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
