Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Armando Walter"'
Autor:
Stefania Konstantinidi, Carlotta Imholz, Thomas Martinez, Amine Benouhiba, Armando Walter, Yoan Civet, Nicole Lindenblatt, Yves Perriard
Publikováno v:
Smart Materials in Medicine, Vol 5, Iss 1, Pp 15-23 (2024)
Facial paralysis is a highly burdening condition, resulting in a patient's inability to move his mimic musculature on one or both sides of his face. This condition compromises the patient's communication and facial expressions, and thus dramatically
Externí odkaz:
https://doaj.org/article/694f46f0c6d44840a4f6cde7ea9918a4
Autor:
Paulo Leitao, Stamatis Karnouskos, Thomas I. Strasser, Xiaodong Jia, Jay Lee, Armando Walter Colombo
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 4, Pp 98-111 (2023)
Industrial cyber-physical systems (ICPS) are a key element that acts as the backbone infrastructure for realizing innovative systems compliant with the fourth industrial revolution vision and requirements to realize it. Several architectures, such as
Externí odkaz:
https://doaj.org/article/8190918e23734e7493a42bcadb0ab4d0
A novel soft cardiac assist device based on a dielectric elastomer augmented aorta: An in vivo study
Autor:
Thomas Martinez, Silje Ekroll Jahren, Armando Walter, Jonathan Chavanne, Francesco Clavica, Lorenzo Ferrari, Paul Philipp Heinisch, Daniela Casoni, Andreas Haeberlin, Markus M. Luedi, Dominik Obrist, Thierry Carrel, Yoan Civet, Yves Perriard
Publikováno v:
Bioengineering & Translational Medicine, Vol 8, Iss 2, Pp n/a-n/a (2023)
Abstract Although heart transplant is the preferred solution for patients suffering from heart failures, cardiac assist devices remain key substitute therapies. Among them, aortic augmentation using dielectric elastomer actuators (DEAs) might be an a
Externí odkaz:
https://doaj.org/article/e455bdf2c2b543e89229cbf049be5fcb
Autor:
Mikhail E. Fedosovsky, Mikhail M. Uvarov, Sergey A. Aleksanin, Anton A. Pyrkin, Armando Walter Colombo, Domenico Prattichizzo
Publikováno v:
IEEE Access, Vol 10, Pp 98204-98219 (2022)
Hyperautomation is a promising but sparingly implemented concept in intelligent manufacturing. One of the reasons for the suboptimal adoption of hyperautomation is the large gap between current theoretical frameworks and practical methodologies and t
Externí odkaz:
https://doaj.org/article/e0d0834c244d44998c5129dd25f582ac
Autor:
Julia Rudnitckaia, Hari Santhosh Venkatachalam, Roland Essmann, Tomas Hruska, Armando Walter Colombo
Publikováno v:
IEEE Access, Vol 10, Pp 24203-24214 (2022)
One major result of the Industrial Digitalization is the access to a large set of digitalized data and information, i.e. Big Data. The market of analytic tools offers a huge variety of algorithms and software to exploit big datasets. Implementing the
Externí odkaz:
https://doaj.org/article/041533b6024e4de9b0235547c4c3ccbc
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 1, Pp 298-310 (2020)
Industry 4.0 vision and its mandated digital transformation are radically reshaping the way business is carried out and the way overall industrial processes and collaborations are operating. In this work, the objective is to analyze the current level
Externí odkaz:
https://doaj.org/article/6a55d9191db144a1aa16fea7f6c56c13
Publikováno v:
IEEE Access, Vol 8, Pp 223114-223129 (2020)
Today, data scientists in the manufacturing domain are confronted with various communication standards, protocols and technologies to save and transfer various kinds of data. These circumstances makes it hard to understand, find, access and extract d
Externí odkaz:
https://doaj.org/article/77ecd3d03708488c97830bfc765430e7
Publikováno v:
IEEE Access, Vol 8, Pp 220121-220139 (2020)
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are becoming more and more dynamic, connected but also inherently more complex, with additional inter-dependencies, uncertainties and large volumes of data being
Externí odkaz:
https://doaj.org/article/b2d65dc02bf6498bb7f76cc7612dc142
Publikováno v:
In Procedia Manufacturing 2019 31:377-383