Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Ignacio Diaz"'
Autor:
Diego Garcia-Perez, Mariam Saeed, Ignacio Diaz, Jose M. Enguita, Juan Manuel Guerrero, Fernando Briz
Publikováno v:
IEEE Access, Vol 12, Pp 27167-27179 (2024)
Monitoring and fault detection can be critical for efficient, safe and reliable operation of electric drive systems. Unfortunately, developing accurate physics-based models for these tasks is difficult due to unknown machine parameters and incomplete
Externí odkaz:
https://doaj.org/article/0aa1f24af7114b8f9a04e560d67e1667
Publikováno v:
Machines, Vol 12, Iss 7, p 447 (2024)
This paper presents a novel approach for extracting 3D weld point information using a two-stage deep learning pipeline based on readily available 2D RGB cameras. Our method utilizes YOLOv8s for object detection, specifically targeting vertices, follo
Externí odkaz:
https://doaj.org/article/dd2c82dbe453447a8591a6d5376315c9
Autor:
David Naranjo, Ignacio Diaz-Franulic
Publikováno v:
Frontiers in Molecular Biosciences, Vol 10 (2023)
Because they enable for the modification of both viscosity and osmolarity, sugars have been used as a biophysical probe of voltage-gated K-channels for a while. Viscosity variations made it possible to measure the pore sizes in large and small conduc
Externí odkaz:
https://doaj.org/article/494b129423904c0eac80801d51b0b1de
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 19, Iss 2, Pp 154-163 (2021)
La visión artificial está cobrando cada día más auge en el mundo de la robótica industrial, ya que es necesario realizar tareas cada vez más precisas y autónomas, por lo que se necesita un posicionamiento del robot más exacto. Para ello se pr
Externí odkaz:
https://doaj.org/article/7efd831f393944f8961304e204a673d0
This paper introduces YotoR (You Only Transform One Representation), a novel deep learning model for object detection that combines Swin Transformers and YoloR architectures. Transformers, a revolutionary technology in natural language processing, ha
Externí odkaz:
http://arxiv.org/abs/2405.19629
Autor:
Florencia C. Cardoso, Susana Goncalves, Pablo G. Mele, Natalia C. Liria, Leonardo Sganga, Ignacio Diaz Perez, Ernesto J. Podesta, Angela R. Solano
Publikováno v:
Human Genomics, Vol 12, Iss 1, Pp 1-8 (2018)
Abstract Background Ovarian cancer is the leading cause of death worldwide among gynecologic malignancies. The recent approval of inhibitors of poly (ADP-ribose) polymerase (iPARP) in the treatment of ovarian cancer in the presence of a BRCA1/2 mutat
Externí odkaz:
https://doaj.org/article/2c803329e78c4a3aafd31d9487059a66
Autor:
Oresti Banos, Jose Antonio Moral-Munoz, Ignacio Diaz-Reyes, Manuel Arroyo-Morales, Miguel Damas, Enrique Herrera-Viedma, Choong Seon Hong, Sungyong Lee, Hector Pomares, Ignacio Rojas, Claudia Villalonga
Publikováno v:
Sensors, Vol 15, Iss 6, Pp 13159-13183 (2015)
Low back pain is the most prevalent musculoskeletal condition. This disorder constitutes one of the most common causes of disability worldwide, and as a result, it has a severe socioeconomic impact. Endurance tests are normally considered in low back
Externí odkaz:
https://doaj.org/article/1afb3cf729894b55a152007558357a93
Publikováno v:
Proceedings, Vol 31, Iss 1, p 51 (2019)
Natural user interfaces are becoming popular. One of the most common natural user interfaces nowadays are voice activated interfaces, particularly smart personal assistants such as Google Assistant, Alexa, Cortana, and Siri. This paper presents the r
Externí odkaz:
https://doaj.org/article/4b22d55c16e141b6a6c23a32a499214b
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.