Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Renato De Leone"'
Publikováno v:
Complex System Modeling and Simulation, Vol 4, Iss 3, Pp 223-235 (2024)
The lot-streaming flowshop scheduling problem with equal-size sublots (ELFSP) is a significant extension of the classic flowshop scheduling problem, focusing on optimize makespan. In response, an improved dynamic Q-learning (IDQL) algorithm is propos
Externí odkaz:
https://doaj.org/article/a3cc85ac87714590b624bae307e68e36
Autor:
Maria Magdalena Coman, Nadaniela Egidi, Stefania Silvi, Renato De Leone, Maria Cristina Verdenelli
Publikováno v:
Fermentation, Vol 10, Iss 10, p 518 (2024)
Aims: Research on probiotics for constipation management is still growing, and plays a crucial role in the definition of a management strategy for bowel wellbeing, constipation, and related outcomes. The present systematic review and meta-analysis of
Externí odkaz:
https://doaj.org/article/c5fae9ca03564b68bf6ff8d9c57c18a5
Autor:
Jia Chen, Renato De Leone
Publikováno v:
AIMS Mathematics, Vol 7, Iss 10, Pp 18099-18216 (2022)
Interval-censored failure time data as a general type of survival data often arises in medicine and other applied fields. Survival tree is a flexible predictive method for survival data because no specific assumptions are required. Generalized Log
Externí odkaz:
https://doaj.org/article/2b8728e2ed74460da7e804dec2cb9252
Autor:
Chiara Salvesi, Stefania Silvi, Dennis Fiorini, Laura Alessandroni, Gianni Sagratini, Francesco Alessandro Palermo, Renato De Leone, Nadaniela Egidi, Carlo Cifani, Maria Vittoria Micioni Di Bonaventura, Amedeo Amedei, Elena Niccolai, Francesca Scocchera, Fausto Mannucci, Valerio Valeriani, Marco Malavasi, Sara Servili, Andrea Casula, Andrea Cresci, Ivano Corradetti, Maria Magdalena Coman, M. Cristina Verdenelli
Publikováno v:
Microorganisms, Vol 11, Iss 3, p 801 (2023)
The physiological changes associated with ageing contribute to the incidence of diseases, morbidity, and mortality. For modern society, it is essential to find solutions to improve elderly people’s health and quality of life. Among promising strate
Externí odkaz:
https://doaj.org/article/b67cc3ef9e884676906fa188cfd17322
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Brain functional network (BFN) has become an increasingly important tool to understand the inherent organization of the brain and explore informative biomarkers of neurological disorders. Pearson’s correlation (PC) is the most widely accepted metho
Externí odkaz:
https://doaj.org/article/561d5a3056c84234a825f7aaadd1f0c0
Autor:
Alessio Mancini, Leonardo Vito, Elisa Marcelli, Marco Piangerelli, Renato De Leone, Sandra Pucciarelli, Emanuela Merelli
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S10, Pp 1-12 (2020)
Abstract Background The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular M
Externí odkaz:
https://doaj.org/article/f7c0d1dfdac34d828ff8889bcb0caaf6
Publikováno v:
Sensors, Vol 23, Iss 4, p 2013 (2023)
Nowadays, Artificial Intelligence systems have expanded their competence field from research to industry and daily life, so understanding how they make decisions is becoming fundamental to reducing the lack of trust between users and machines and inc
Externí odkaz:
https://doaj.org/article/64c9df7e753c47a9ac04539859812c75
Publikováno v:
Sensors
Volume 23
Issue 4
Pages: 2013
Volume 23
Issue 4
Pages: 2013
Nowadays, Artificial Intelligence systems have expanded their competence field from research to industry and daily life, so understanding how they make decisions is becoming fundamental to reducing the lack of trust between users and machines and inc
Publikováno v:
New Technologies, Development and Application VI ISBN: 9783031310652
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::580c62fb279d98b5c8627615febe645d
https://doi.org/10.1007/978-3-031-31066-9_54
https://doi.org/10.1007/978-3-031-31066-9_54
Publikováno v:
International Journal of Control. 96:699-710