Zobrazeno 1 - 10
of 21 845
pro vyhledávání: '"del Rosario A"'
Autor:
Rica, F. M., Barrena, R., Henríquez, J. A., Vázquez, G., Vázquez, C., Hernández, D., del Rosario, J. L.
We present new orbital solutions for 15 binaries, which were astrometrically measured during 2010-2013. We observe the binary systems using the FastCam ``lucky-imaging'' camera, installed at the 1.5-m Carlos S\'anchez Telescope (CST) at the Observato
Externí odkaz:
http://arxiv.org/abs/2412.08333
Autor:
Piedad, Eduardo Jr, Del Rosario, Christian Ainsley, Prieto-Araujo, Eduardo, Gomis-Bellmunt, Oriol
Deep learning (DL) strategies have recently been utilized to diagnose motor faults by simply analyzing motor phase current signals, offering a less costly and non-intrusive alternative to vibration sensors. This research transforms these time-series
Externí odkaz:
http://arxiv.org/abs/2408.09644
Autor:
Miranda, John Paul P., Cruz, Maria Anna D., Gonzales, Dina D., Del Rosario, Ma. Rebecca G., Canlas, Aira May B., Bansil, Joseph Alexander
Publikováno v:
Puissant, 5, 2014-2027, 2024
This study investigates the usage patterns and purposes of designer perfumes among Filipino consumers, employing purposive and snowball sampling methods as non-probability sampling techniques. Data was collected using Google Forms, and the majority o
Externí odkaz:
http://arxiv.org/abs/2401.17886
Autor:
Mariani, Mauro, Albertus, Conrado, Alessandroni, M. del Rosario, Orsaria, Milva G., Pérez-García, M. Ángeles, Ranea-Sandoval, Ignacio F.
We investigate the structure of admixed neutron stars with a regular hadronic component and a fraction of fermionic self-interacting dark matter. Using two limiting equations of state for the dense baryonic interior, constructed from piecewise genera
Externí odkaz:
http://arxiv.org/abs/2311.14004
Publikováno v:
Serie Científica de la Universidad de las Ciencias Informáticas, Vol 17, Iss 12, Pp 52-71 (2024)
El envío de información publicitaria a través de una red pública es una estrategia que tiene como objetivo aprovechar la infraestructura de conexión a Internet entornos públicos para el envío de publicidad, se plantea realizar en el cantón To
Externí odkaz:
https://doaj.org/article/b13842d58b734c98b5df86683a73e25f
Publikováno v:
Journal of Innovations in Business and Industry, Vol 2, Iss 4, Pp 199-206 (2024)
Learning Management Systems (LMS) are used as virtual classrooms in higher education. Students can still learn and study at their individual houses despite the distance. The purpose of this study is to investigate how stakeholders see the role of LMS
Externí odkaz:
https://doaj.org/article/ca77b0d47ae943208286ff13e80859c3
Autor:
Amado Manuel Canales Vergara, Alexandr Torres Krupij, María del Rosario Fresno Baquero, Martina Macrì, Juan Vicente Delgado Bermejo, Amparo Martínez Martínez
Publikováno v:
Italian Journal of Animal Science, Vol 23, Iss 1, Pp 678-692 (2024)
The Canary Islands have historically been a crossway among at least three continents; therefore, the genetic influences on their local animal breeds have been extremely diverse. In the Canarian chicken population, genetic diversity is evident but it
Externí odkaz:
https://doaj.org/article/4e349019e5e44f30b82464d93ddf795e
Autor:
Steffanny Sanchez-Portillo, Margarita del Rosario Salazar-Sánchez, Lizeth Guadalupe Campos-Muzquiz, Juan Alberto Ascacio-Valdés, José Fernando Solanilla-Duque, Claudia Magdalena Lopez Badillo, Adriana Carolina Flores-Gallegos, Raúl Rodríguez-Herrera
Publikováno v:
Exploration of Foods and Foodomics, Vol 2, Iss 6, Pp 672-686 (2024)
Aim: The Andean tubers Ullucus tuberosus and Arracacia xanthorrhiza are of great international importance due to their nutritional value (carbohydrates, fiber), functional and phenolic compounds. This study aimed to determine the proximate compositio
Externí odkaz:
https://doaj.org/article/28bcd98d8b0048dd8712f2d97e3265e7
Autor:
V. Gómez-Escalonilla, E. Montero-González, S. Díaz-Alcaide, M. Martín-Loeches, M. Rodríguez del Rosario, P. Martínez-Santos
Publikováno v:
Applied Water Science, Vol 14, Iss 12, Pp 1-19 (2024)
Abstract Effective monitoring of groundwater contamination is crucial to protect human livelihoods and ecosystems. This paper presents a machine learning-based approach to improve groundwater monitoring networks by providing predictions of groundwate
Externí odkaz:
https://doaj.org/article/acf77af4cefe4a7399d273a144965eec
Autor:
Del Rosario Santana, Juan
Publikováno v:
Études caribéennes, 2024 Apr 01(57/58), 216-231.
Externí odkaz:
https://www.jstor.org/stable/48785404