Zobrazeno 1 - 10
of 950
pro vyhledávání: '"HERNANDEZ, FERNANDO A"'
Autor:
Ojeda-Magaña, Benjamín, Ruelas, Rubén, Robledo-Hernández, José Guadalupe, Rangel-Cobián, Víctor Manuel, Aguilar-Hernández, Fernando López
3D sensors, also known as RGB-D sensors, utilize depth images where each pixel measures the distance from the camera to objects, using principles like structured light or time-of-flight. Advances in artificial vision have led to affordable 3D cameras
Externí odkaz:
http://arxiv.org/abs/2403.12310
Autor:
Breton, Sylvain N., Dhouib, Hachem, García, Rafael A., Brun, Allan Sacha, Mathis, Stéphane, Hernández, Fernando Pérez, Mathur, Savita, Dyrek, Achrène, Santos, Angela R. G., Pallé, Pere L.
Gravity modes (g modes), mixed gravito-acoustic modes (mixed modes), and gravito-inertial modes (gi modes) possess unmatched properties as probes for stars with radiative interiors. The structural and dynamical constraints that they are able to provi
Externí odkaz:
http://arxiv.org/abs/2309.15691
We explore different generalizations of the classical concept of independent families on $\omega$ following the study initiated by Fisher and Montoya. We show that under $\diamondsuit^*(\kappa)$ we can get strongly independent families on $\kappa$ of
Externí odkaz:
http://arxiv.org/abs/2302.09012
Publikováno v:
In Journal of Cleaner Production 15 November 2024 480
Autor:
Hadro, Adam, Huyke-Hernandez, Fernando A., Kleinsmith, Rebekah M., Doxey, Stephen A., Schweitzer, Adam, Ristow, Jacob, Cunningham, Brian P., Braman, Jonathan
Publikováno v:
In Journal of Orthopaedics October 2024 56:119-122
Autor:
González-González, Yocelin B., Plascencia-Hernández, Fernando, Mendoza-Cruz, Rubén, Pfeiffer, Heriberto
Publikováno v:
In Journal of Environmental Sciences March 2025 149:535-550
Missing time-series data is a prevalent problem in many prescriptive analytics models in operations management, healthcare and finance. Imputation methods for time-series data are usually applied to the full panel data with the purpose of training a
Externí odkaz:
http://arxiv.org/abs/2202.00871
Publikováno v:
Appl. Sci. 2021, 11(18), 8546, 2021
In many application domains such as medicine, information retrieval, cybersecurity, social media, etc., datasets used for inducing classification models often have an unequal distribution of the instances of each class. This situation, known as imbal
Externí odkaz:
http://arxiv.org/abs/2201.07932
Publikováno v:
In Heliyon 15 August 2024 10(15)
Publikováno v:
In Heliyon 15 August 2024 10(15)