Zobrazeno 1 - 10
of 8 121
pro vyhledávání: '"GONZALEZ, LUIS"'
Autor:
ORTEGA SÁNCHEZ, JOSÉ MARÍA
Publikováno v:
Cuadernos de Pensamiento Político, 2022 Oct 01(76), 122-125.
Externí odkaz:
https://www.jstor.org/stable/27194442
Autor:
da Luz, Gustavo P. C. P., Sato, Gabriel Massuyoshi, Gonzalez, Luis Fernando Gomez, Borin, Juliana Freitag
The increasing urbanization and the growing number of vehicles in cities have underscored the need for efficient parking management systems. Traditional smart parking solutions often rely on sensors or cameras for occupancy detection, each with its l
Externí odkaz:
http://arxiv.org/abs/2412.01983
We study the electronic band structure and optical response of a hybrid model, a $\alpha-\mathcal{T}_3$ model featuring a $\sqrt{3}\times\sqrt{3}$ Kekul\'e pattern modulation. Such a hybrid system may result from the depositing of adatoms in a hexago
Externí odkaz:
http://arxiv.org/abs/2411.05988
Neural networks are now deployed in a wide number of areas from object classification to natural language systems. Implementations using analog devices like memristors promise better power efficiency, potentially bringing these applications to a grea
Externí odkaz:
http://arxiv.org/abs/2409.19671
Deep-learning (DL)-based image deconvolution (ID) has exhibited remarkable recovery performance, surpassing traditional linear methods. However, unlike traditional ID approaches that rely on analytical properties of the point spread function (PSF) to
Externí odkaz:
http://arxiv.org/abs/2405.16343
Autor:
Bernal-González, Luis, Rodríguez-Vidanes, Daniel L., Seoane-Sepúlveda, Juan B., Tag, Hyung-Joon
In this article, we investigate the existence of closed vector subspaces (i.e.spaceability) in various nonlinear subsets of Orlicz-Lorentz spaces $\Lambda_{\varphi,w}$, equipped with the Luxemburg norm. If a family of Orlicz functions $(\varphi_n)_{n
Externí odkaz:
http://arxiv.org/abs/2312.13903
Autor:
Heinrich-Wallace, Glen
Publikováno v:
Hispania, 2017 Dec 01. 100(4), 704-705.
Externí odkaz:
https://www.jstor.org/stable/26387832
Machine Learning (ML) algorithms are vulnerable to poisoning attacks, where a fraction of the training data is manipulated to deliberately degrade the algorithms' performance. Optimal attacks can be formulated as bilevel optimization problems and hel
Externí odkaz:
http://arxiv.org/abs/2306.01613
Autor:
Soto-Trejo, Fabiola, Robles, Francisco, Lira, Rafael, Sánchez-González, Luis A., Ortiz, Enrique, Dávila, Patricia
Publikováno v:
Plant Ecology and Evolution, 2024 Jan 01. 157(1), 42-54.
Externí odkaz:
https://www.jstor.org/stable/48770170