{"id":"https://openalex.org/W4321637372","doi":"https://doi.org/10.1109/sisy56759.2022.10036259","title":"Numba-accelerated parameter estimation for artificial pancreas applications","display_name":"Numba-accelerated parameter estimation for artificial pancreas applications","publication_year":2022,"publication_date":"2022-09-15","ids":{"openalex":"https://openalex.org/W4321637372","doi":"https://doi.org/10.1109/sisy56759.2022.10036259"},"language":"en","primary_location":{"id":"doi:10.1109/sisy56759.2022.10036259","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sisy56759.2022.10036259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY)","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/A5055832332","display_name":"M\u00e1t\u00e9 Siket","orcid":"https://orcid.org/0000-0002-4425-5588"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Mate Siket","raw_affiliation_strings":["Óbuda University,Physiological Controls Research Center,Hungary"],"affiliations":[{"raw_affiliation_string":"Óbuda University,Physiological Controls Research Center,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002359133","display_name":"Lehel D\u00e9nes-Fazakas","orcid":"https://orcid.org/0009-0003-9879-5664"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Lehel Denes-Fazakas","raw_affiliation_strings":["Óbuda University,Physiological Controls Research Center,Hungary"],"affiliations":[{"raw_affiliation_string":"Óbuda University,Physiological Controls Research Center,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021051122","display_name":"Levente Kov\u00e1cs","orcid":"https://orcid.org/0000-0002-3188-0800"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Levente Kovacs","raw_affiliation_strings":["Óbuda University,Physiological Controls Research Center,Hungary"],"affiliations":[{"raw_affiliation_string":"Óbuda University,Physiological Controls Research Center,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077451025","display_name":"Gy\u00f6rgy Eigner","orcid":"https://orcid.org/0000-0001-8038-2210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gyorgy Eigner","raw_affiliation_strings":["Biomatics and Applied Artificial Intelligence Institute, óbuda University,John von Neumann Faculty of Informatics,Hungary"],"affiliations":[{"raw_affiliation_string":"Biomatics and Applied Artificial Intelligence Institute, óbuda University,John von Neumann Faculty of Informatics,Hungary","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055832332"],"corresponding_institution_ids":["https://openalex.org/I2801419141"],"apc_list":null,"apc_paid":null,"fwci":0.1327,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55939032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9466000199317932,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9466000199317932,"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/T10839","display_name":"Pancreatic function and diabetes","score":0.9424999952316284,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.9326000213623047,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.8675817251205444},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.7185976505279541},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6843082904815674},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6563143730163574},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.606532096862793},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5521194934844971},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5132794380187988},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.509458601474762},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4990570545196533},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.413464218378067},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4017501473426819},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.34008827805519104},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18693140149116516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8675817251205444},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.7185976505279541},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6843082904815674},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6563143730163574},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.606532096862793},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5521194934844971},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5132794380187988},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.509458601474762},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4990570545196533},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.413464218378067},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4017501473426819},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.34008827805519104},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18693140149116516},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sisy56759.2022.10036259","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sisy56759.2022.10036259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY)","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":15,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W2006841864","https://openalex.org/W2091638547","https://openalex.org/W2107795961","https://openalex.org/W2168814550","https://openalex.org/W2245493112","https://openalex.org/W2889470209","https://openalex.org/W2947475775","https://openalex.org/W2952056515","https://openalex.org/W3003257820","https://openalex.org/W3038508300","https://openalex.org/W3088017652","https://openalex.org/W3205278174","https://openalex.org/W4252374882","https://openalex.org/W4285215455"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W3104348697","https://openalex.org/W1972148443","https://openalex.org/W2771817287"],"abstract_inverted_index":{"General-purpose":[0],"computing":[1,108],"on":[2,59,65,72],"graphics":[3],"processing":[4,68],"units":[5],"(GPU)":[6],"has":[7],"gained":[8],"more":[9],"attention":[10],"over":[11],"the":[12,40,50,62,66,73,87,90,95],"last":[13],"years":[14],"in":[15,86],"scientific":[16],"computing.":[17],"Tasks":[18],"like":[19],"population-based":[20],"optimizations":[21],"are":[22],"widely":[23],"used":[24],"and":[25,71,105],"can":[26,102],"be":[27,103],"efficiently":[28],"parallelized.":[29],"While":[30],"Python":[31],"is":[32,37,97],"considered":[33],"generally":[34],"\u201cslow\u201d,":[35],"it":[36],"one":[38],"of":[39,53,94],"most":[41],"popular":[42],"programming":[43],"languages.":[44],"In":[45],"this":[46],"study,":[47],"we":[48],"evaluate":[49],"acceleration":[51],"possibilities":[52],"a":[54],"parameter":[55],"estimation":[56],"problem":[57],"based":[58],"optimization":[60],"utilizing":[61],"Numba":[63,78],"library":[64],"central":[67],"unit":[69],"(CPU)":[70],"GPU.":[74],"Runtimes":[75],"indicate":[76],"that":[77],"achieves":[79],"high":[80,100],"runtime":[81],"improvements":[82],"with":[83],"little":[84],"modifications":[85],"syntax.":[88],"On":[89],"other":[91],"hand,":[92],"utilization":[93],"GPU":[96],"beneficial":[98],"when":[99],"parallelization":[101],"guaranteed":[104],"using":[106],"cloud":[107],"platforms.":[109]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}