Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment

Autor: Martin Ubl, Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri

Publikováno v: Sensors, Vol 22, Iss 23, p 9445 (2022)

Diabetes is a heterogeneous group of diseases that share a common trait of elevated blood glucose levels. Insulin lowers this level by promoting glucose utilization, thus avoiding short- and long-term organ damage due to the elevated blood glucose le

Externí odkaz: https://doaj.org/article/4832aaea84dc4988afd59a50ea4bc124

Can Different Impacts of Covid-19 on Different Countries Be Explained? a Preliminary Machine Learning Experiment

Autor: Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino

Publikováno v: Computational Intelligence for COVID-19 and Future Pandemics-Emerging Applications and Strategies, edited by Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo. London: Springer, 2022
info:cnr-pdr/source/autori:Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino/titolo:Can Different Impacts of Covid-19 on Different Countries Be Explained? a Preliminary Machine Learning Experiment/titolo_volume:Computational Intelligence for COVID-19 and Future Pandemics-Emerging Applications and Strategies/curatori_volume:Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo/editore: /anno:2022

The hypothesis that we intend to investigate here is that the extent of the impact of Covid-19 on a given country can be explained starting from a set of indicators and by using machine learning methodologies. The purpose of this chapter is not to fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::5856c68638eaeb0f3534e1d219f11c24
https://publications.cnr.it/doc/462989

Differential evolution to estimate the parameters of a SEIAR model with dynamic social distancing

Autor: Ernesto Tarantino, I. De Falco, Umberto Scafuri, A. Della Cioppa

This chapter describes the application of a recent compartment-based epidemiological model, namely the SEIAR (Susceptible-Exposed-Infectious-Asymptomatic-Recovered), to estimate the spreading of the coronavirus COVID-19 in Italy and in some of its re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e06e3f8f911e5c031994c8d97d7211
http://hdl.handle.net/11386/4781245

Exploiting multi-objective parallel extremal optimization features in dynamic load balancing

Autor: Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Ivanoe De Falco, Marek Tudruj

Publikováno v: GECCO Companion
GECCO '20: Genetic and Evolutionary Computation Conference
GECCO '20: Genetic and Evolutionary Computation Conference, Jul 2020, Cancún Mexico, France. pp.1712-1720, ⟨10.1145/3377929.3398134⟩
2020 Genetic and Evolutionary Computation Conferenc, pp. 1712–1720, Cancun, Mexico, 8-12/07/2020
info:cnr-pdr/source/autori:Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj/congresso_nome:2020 Genetic and Evolutionary Computation Conferenc/congresso_luogo:Cancun, Mexico/congresso_data:8-12%2F07%2F2020/anno:2020/pagina_da:1712/pagina_a:1720/intervallo_pagine:1712–1720

This paper is focused on the methodology for using the parallel multi-objective Extremal Optimization in load balancing algorithms for distributed systems. In the proposed approach, parallel multi-objective Extremal Optimization algorithms define tas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4d2d63d53960fb73f47301c5ba90efd
https://doi.org/10.1145/3377929.3398134

Distributed Processor Load Balancing Based on Multi-objective Extremal Optimization

Autor: Ivanoe De Falco 1, Eryk Laskowski 2, Richard Olejnik 3, Umberto Scafuri 1, Ernesto Tarantino 1, Marek Tudruj 2, 4

Publikováno v: Internet and Distributed Computing Systems
Montella R.; Ciaramella A.; Fortino G.; Guerrieri A.; Liotta A. (eds). Internet and Distributed Computing Systems, vol 11874, Springer, Cham, pp.158-168, 2019, Lecture Notes in Computer Science & Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11874), 978-3-030-34913-4. ⟨10.1007/978-3-030-34914-1_16⟩
International Conference on Internet and Distributed Computing Systems 2019 (IDCS 2019), pp. 158–168, Naples, Italy, 10-12/10/2019
info:cnr-pdr/source/autori:Ivanoe De Falco 1, Eryk Laskowski 2, Richard Olejnik 3, Umberto Scafuri 1, Ernesto Tarantino 1, Marek Tudruj 2,4/congresso_nome:International Conference on Internet and Distributed Computing Systems 2019 (IDCS 2019)/congresso_luogo:Naples, Italy/congresso_data:10-12%2F10%2F2019/anno:2019/pagina_da:158/pagina_a:168/intervallo_pagine:158–168
Internet and Distributed Computing Systems ISBN: 9783030349134
IDCS

International audience; The paper proposes and discusses distributed processor load balancing algorithms which are based on nature inspired approach of multi-objective Extremal Optimization. Extremal Optimization is used for defining task migration a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6371420fc5e8393e4e7db7f7a3f0085
https://inria.hal.science/hal-02416798