Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Niko Bonomi"'
Autor:
Corrado Cescon, Giuseppe Landolfi, Niko Bonomi, Marco Derboni, Vincenzo Giuffrida, Andrea Emilio Rizzoli, Paolo Maino, Eva Koetsier, Marco Barbero
Publikováno v:
JMIR mHealth and uHealth, Vol 12, Pp e53119-e53119 (2024)
Abstract BackgroundUnderstanding the causes and mechanisms underlying musculoskeletal pain is crucial for developing effective treatments and improving patient outcomes. Self-report measures, such as the Pain Drawing Scale, involve individuals ratin
Externí odkaz:
https://doaj.org/article/58000acca1294207b22f13fea810d6cc
Autor:
Elias Montini, Vincenzo Cutrona, Niko Bonomi, Giuseppe Landolfi, Andrea Bettoni, Paolo Rocco, Emanuele Carpanzano
Publikováno v:
55th CIRP Conference on Manufacturing Systems
In the context of the Industry 4.0 approach, applications and solutions supporting monitoring, simulation, optimisation and decision-making in production systems are exponentially growing. These solutions are commonly built on digital twins, i.e., co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cd3b6d2bb55d16b2f34a1a94de92a99
https://zenodo.org/record/6641404
https://zenodo.org/record/6641404
Autor:
Fabio Daniele, Matteo Confalonieri, Andrea Ferrario, Lorenzo Agbomemewa, Michele Foletti, Niko Bonomi, Ludovica Rossi, Andreas Graf, Paolo Pedrazzoli
Publikováno v:
Proceedings of INTCESS 2022- 9th International Conference on Education & Education of Social Sciences.
Autor:
Niko Bonomi, Michela Papandrea
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030991968
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11adfa9db3080d97a844751f655944f7
https://doi.org/10.1007/978-3-030-99197-5_1
https://doi.org/10.1007/978-3-030-99197-5_1
Autor:
Felipe Cardoso, Luca Luceri, Matteo Confalonieri, Silvia Giordano, Andrea Ferrario, Fabio Daniele, Paolo Pedrazzoli, Niko Bonomi, Michele Foletti
Publikováno v:
CASE
This paper addresses the achievements of the QU4LITY project, funded by the Swiss Innovation Agency. Within this research project, the automation back-bone developed for the SUPSI MiniFactory [1], coupled with adaptive Machine Learning (ML) algorithm
Autor:
Emanuele Carpanzano, Paolo Pedrazzoli, Elias Montini, Fabio Daniele, Paolo Rocco, Andrea Bettoni, Niko Bonomi
Publikováno v:
Becoming a Platform in Europe: On the Governance of the Collaborative Economy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::401924cf3e214e4ae78ab493b238df73
https://doi.org/10.1561/9781680838770.ch7
https://doi.org/10.1561/9781680838770.ch7