Your browser doesn't support javascript.
loading
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction.
De Falco, Ivanoe; Della Cioppa, Antonio; Koutny, Tomas; Ubl, Martin; Krcma, Michal; Scafuri, Umberto; Tarantino, Ernesto.
Affiliation
  • De Falco I; ICAR-National Research Council of Italy, Via P. Castellino, 80131 Naples, Italy.
  • Della Cioppa A; ICAR-National Research Council of Italy, Via P. Castellino, 80131 Naples, Italy.
  • Koutny T; Natural Computation Lab, DIEM, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy.
  • Ubl M; Department of Computer Science and Engineering, New Technologies for Information Society, University of West Bohemia, Technicka 18, 330 01 Pilsen, Czech Republic.
  • Krcma M; Department of Computer Science and Engineering, University of West Bohemia, Technicka 18, 330 01 Pilsen, Czech Republic.
  • Scafuri U; Diabetology Center, First Department of Internal Medicine, University Hospital Pilsen, Alej Svobody 923/80, 323 00 Pilsen, Czech Republic.
  • Tarantino E; ICAR-National Research Council of Italy, Via P. Castellino, 80131 Naples, Italy.
Sensors (Basel) ; 23(6)2023 Mar 08.
Article in En | MEDLINE | ID: mdl-36991668
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Type: Article Affiliation country: Italy
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Type: Article Affiliation country: Italy