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pro vyhledávání: '"Jonas Grande-Barreto"'
Autor:
Jonas Grande-Barreto, Eduardo Polanco-Castro, Hayde Peregrina-Barreto, Eduardo Rosas-Mialma, Carmina Puig-Mar
Publikováno v:
Information, Vol 14, Iss 7, p 375 (2023)
Creating synthetic images of trabecular tissue provides an alternative for researchers to validate algorithms designed to study trabecular bone. Developing synthetic images requires baseline data, such as datasets of digital biological samples or tem
Externí odkaz:
https://doaj.org/article/8ce8108c605448489424b6f8dfb240b3
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Early detection of fault events through electromechanical systems operation is one of the most attractive and critical data challenges in modern industry. Although these electromechanical systems tend to experiment with typical faults, a common event
Externí odkaz:
https://doaj.org/article/018f20ef02214080bb44d38db79a1f61
Autor:
Puig-Mar, Jonas Grande-Barreto, Eduardo Polanco-Castro, Hayde Peregrina-Barreto, Eduardo Rosas-Mialma, Carmina
Publikováno v:
Information; Volume 14; Issue 7; Pages: 375
Creating synthetic images of trabecular tissue provides an alternative for researchers to validate algorithms designed to study trabecular bone. Developing synthetic images requires baseline data, such as datasets of digital biological samples or tem
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Early detection of fault events through electromechanical systems operation is one of the most attractive and critical data challenges in modern industry. Although these electromechanical systems tend to experiment with typical faults, a common event
Autor:
Pilar Gomez-Gil, Jonas Grande-Barreto
Publikováno v:
Medical & Biological Engineering & Computing. 58:3101-3112
This paper presents a novel unsupervised algorithm for brain tissue segmentation in magnetic resonance imaging (MRI). The proposed algorithm, named Gardens2, adopts a clustering approach to segment voxels of a given MRI into three classes: cerebrospi
Autor:
Jonas Grande-Barreto, Pilar Gomez-Gil
Publikováno v:
2018 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
During brain Magnetic Resonance Imaging (MRI) analysis, image segmentation provides information for the measurement and visualization of anatomical structures of the brain. Currently, segmentation performed by human experts is the gold standard metho
Autor:
Hayde Peregrina-Barreto, Carlos Morales-Perez, Jonas Grande-Barreto, Jose de Jesus Rangel-Magdaleno
Publikováno v:
I2MTC
Due to its straightforward installation, operation and low cost, the Induction Motor (IM) is widely used in industry. Because of its constant service, there is a growing necessity of fault detection techniques for IM. Bearings fault (BF) is a common
Autor:
Jonas Grande-Barreto, Jose de Jesus Rangel-Magdaleno, Carlos Morales-Perez, Hayde Peregrina-Barreto
Publikováno v:
2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Induction Motor is the most popular rotatory machine used in the industry. Thus, it requires a major periodical revision, because any fault during the operation can be catastrophic. A critical fault is the Broken Rotor Bar, which starts very small an