Zobrazeno 1 - 10
of 3 321
pro vyhledávání: '"RIEGO A."'
Autor:
Castejón-Limas, Manuel, Martínez, Gabriel Medina, del Castillo, Virginia Riego, Fernández-Robles, Laura
This paper formulates the completion time $\tau$ of a project network as $ \tau =\|\mathbf{R} \mathbf{t} \|_\infty $ where the rows of $\mathbf{R}$ are simple paths of the network and $\mathbf{t}$ is a column vector representing the duration of the a
Externí odkaz:
http://arxiv.org/abs/2410.10252
Autor:
Garrucho, Lidia, Reidel, Claire-Anne, Kushibar, Kaisar, Joshi, Smriti, Osuala, Richard, Tsirikoglou, Apostolia, Bobowicz, Maciej, del Riego, Javier, Catanese, Alessandro, Gwoździewicz, Katarzyna, Cosaka, Maria-Laura, Abo-Elhoda, Pasant M., Tantawy, Sara W., Sakrana, Shorouq S., Shawky-Abdelfatah, Norhan O., Abdo-Salem, Amr Muhammad, Kozana, Androniki, Divjak, Eugen, Ivanac, Gordana, Nikiforaki, Katerina, Klontzas, Michail E., García-Dosdá, Rosa, Gulsun-Akpinar, Meltem, Lafcı, Oğuz, Mann, Ritse, Martín-Isla, Carlos, Prior, Fred, Marias, Kostas, Starmans, Martijn P. A., Strand, Fredrik, Díaz, Oliver, Igual, Laura, Lekadir, Karim
Current research in breast cancer Magnetic Resonance Imaging (MRI), especially with Artificial Intelligence (AI), faces challenges due to the lack of expert segmentations. To address this, we introduce the MAMA-MIA dataset, comprising 1506 multi-cent
Externí odkaz:
http://arxiv.org/abs/2406.13844
The digitalization of news media become a good indicator of progress and signal to more threats. Media disinformation or fake news is one of these threats, and it is necessary to take any action in fighting disinformation. This paper utilizes ground
Externí odkaz:
http://arxiv.org/abs/2306.00018
Autor:
González-Santamarta, Miguel Á., Rodríguez-Lera, Francisco J., Olivera, Vicente Matellán, Del Castillo, Virginia Riego, Sánchez-González, Lidia
Symbolic anchoring is a crucial problem in the field of robotics, as it enables robots to obtain symbolic knowledge from the perceptual information acquired through their sensors. In cognitive-based robots, this process of processing sub-symbolic dat
Externí odkaz:
http://arxiv.org/abs/2303.08204
Autor:
James González, Héctor Quezada, Jose Carlos Campero-Basaldua, Édgar Ramirez-González, Lina Riego-Ruiz, Alicia González
Publikováno v:
Microbiology Research, Vol 15, Iss 3, Pp 1225-1238 (2024)
In yeasts, the Leu3 transcriptional factor regulates the expression of genes encoding enzymes of the leucine biosynthetic pathway, in which the first committed step is catalyzed by α-isopropylmalate synthase (α-IPMS). This enzyme is feedback inhibi
Externí odkaz:
https://doaj.org/article/13927e28493a45e6b9538f3d22c5505e
Autor:
Jarbas Barbosa da Silva Jr., Rhonda Sealey-Thomas, Ciro Ugarte, Sebastian Garcia Saisó, James Fitzgerald, Ernesto Bascolo, Amalia del Riego, Ana Rivière Cinnamond, Leah-Marie Richards, Myrna Marti, Ana Estela Haddad, Marcelo D’Agostino
Publikováno v:
Revista Panamericana de Salud Pública, Vol 48, Iss 74, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/06c345d5402d44acb7fc33fbb77fbe6e
Publikováno v:
Revista Educa UMCH, Vol 19, Iss 04, Pp 66-77 (2024)
El estudio tuvo como objetivo analizar las principales percepciones y el grado de experiencia que tienen los profesores respecto a la Inteligencia Artificial (IA), considerada una herramienta válida en el ámbito de la Educación Superior. Los datos
Externí odkaz:
https://doaj.org/article/585e4d2bd58a48ae9ec249b6ab6d58d2
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 160, Iss , Pp 110123- (2024)
The need to reduce overall energy consumption motivates the search for ways to improve energy use by transportation. Electrification has helped to significantly reduce the energy intensity of rail transportation. On today’s high-speed lines, power
Externí odkaz:
https://doaj.org/article/f7476b13ecce4d78bf4929d86718622d
Autor:
Garrucho, Lidia, Kushibar, Kaisar, Osuala, Richard, Diaz, Oliver, Catanese, Alessandro, del Riego, Javier, Bobowicz, Maciej, Strand, Fredrik, Igual, Laura, Lekadir, Karim
Computer-aided detection systems based on deep learning have shown good performance in breast cancer detection. However, high-density breasts show poorer detection performance since dense tissues can mask or even simulate masses. Therefore, the sensi
Externí odkaz:
http://arxiv.org/abs/2209.09809
Autor:
Milagrosa López Riego, Prabodha Kumar Meher, Beata Brzozowska, Pamela Akuwudike, Martin Bucher, Ursula Oestreicher, Lovisa Lundholm, Andrzej Wojcik
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Astronauts travelling in space will be exposed to mixed beams of particle radiation and photons. Exposure limits that correspond to defined cancer risk are calculated by multiplying absorbed doses by a radiation-type specific quality factor
Externí odkaz:
https://doaj.org/article/328759b664b64b5b8a856944e573e791