Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Alberto Villalonga"'
Publikováno v:
Operations Research Perspectives, Vol 12, Iss , Pp 100308- (2024)
Machine learning can be effectively used to generate models capable of representing the dynamic of production processes of small and medium-sized enterprises. These models enable the estimation of key performance indicators, and are often used for op
Externí odkaz:
https://doaj.org/article/6488d8c3171943d994e6c91f9750b1e8
Publikováno v:
IEEE Access, Vol 7, Pp 93462-93472 (2019)
A digital twin-based optimization procedure is presented for an ultraprecision motion system with a flexible shaft connecting the motor to the (elastic) load, which is subject to both backlash and friction. The main contributions of the study are the
Externí odkaz:
https://doaj.org/article/7e53a45c20304bbfba8a873d6c8bf62d
Publikováno v:
Complexity, Vol 2017 (2017)
The complexity of machining processes relies on the inherent physical mechanisms governing these processes including nonlinear, emergent, and time-variant behavior. The measurement of surface roughness is a critical step done offline by expensive qua
Externí odkaz:
https://doaj.org/article/aa19453fce184efa9eb1a7becb81f9fe
Autor:
Fernando Castaño, Stanisław Strzelczak, Alberto Villalonga, Rodolfo E. Haber, Joanna Kossakowska
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2252 (2019)
Nowadays, reliability of sensors is one of the most important challenges for widespread application of Internet-of-things data in key emerging fields such as the automotive and manufacturing sectors. This paper presents a brief review of the main res
Externí odkaz:
https://doaj.org/article/2a88b77d68514739915d661314b4ed81
Publikováno v:
Sensors, Vol 18, Iss 5, p 1508 (2018)
On-chip LiDAR sensors for vehicle collision avoidance are a rapidly expanding area of research and development. The assessment of reliable obstacle detection using data collected by LiDAR sensors has become a key issue that the scientific community i
Externí odkaz:
https://doaj.org/article/70f777fca3664c5088889b6b4afda33b
Publikováno v:
Proceedings, Vol 1, Iss 8, p 809 (2017)
In general, when forward-looking on-chip LiDAR is considered, the role of these sensors in vehicle collision avoidance is very important. [...]
Externí odkaz:
https://doaj.org/article/cfda11a0085b4eba97a44759d6ef10eb
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:7190-7200
Autor:
Luca Fumagalli, Marco Macchi, Rodolfo E. Haber, Giacomo Biscardo, Alberto Villalonga, Fernando Castaño, Elisa Negri
Publikováno v:
Annual Reviews in Control
Nowadays, one important challenge in cyber-physical production systems is updating dynamic production schedules through an automated decision-making performed while the production is running. The condition of the manufacturing equipment may in fact l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93719f81601b09c9d86c46b02bd95951
http://hdl.handle.net/11311/1181809
http://hdl.handle.net/11311/1181809
Autor:
Marcelino Rivas, Ramón Quiza, Alberto Villalonga, Yarens J. Cruz, Gerardo Beruvides, Rodolfo E. Haber
Publikováno v:
Computers in Industry
Digital.CSIC. Repositorio Institucional del CSIC
instname
Digital.CSIC. Repositorio Institucional del CSIC
instname
This paper presents an approach for image classification based on an ensemble of convolutional neural networks and the application to a real case study of an industrial welding process. The ensemble consists of five convolutional neural networks, who