Buscar en RiuNet

Listar

Todo RiuNet

Mi cuenta

Acceder

Ayuda RiuNet

Admin. UPV

Listar por autor "Garibo Orts, Óscar"

Mostrando ítems 1-10 de 10

A variant-dependent molecular clock with anomalous diffusion models SARS-CoV-2 evolution in humans

Goiriz, Lucas; Ruiz, Raúl; Garibo-i-Orts, Óscar; Conejero, J. Alberto; Rodrigo Tarrega, Guillermo (Proceedings of the National Academy of Sciences, 2023-07-25)

[EN] The evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in humans has been monitored at an unprecedented level due to the public health crisis, yet the stochastic dynamics underlying such a process ...
Adaptation of the COVASIM model to incorporate non-pharmaceutical interventions: Application to the Dominican Republic during the second wave of COVID-19

Solares-Hernández, Pedro A.; Garibo-i-Orts, Óscar; Conejero, J. Alberto; Manzano, Fernando A. (UP4 Institute of Sciences, S.L., 2023-07)

[EN] We adapt the Covasim agent-based model for predicting new COVID-19 cases by tuning the transmissibility rate with information on the impact of the most common non-pharmaceutical interventions (NPIs) obtained through ...
Anomalous Diffusion Characterization using Machine Learning Methods

Garibo Orts, Óscar (Universitat Politècnica de València, 2023-04-18)

[ES] Durante las últimas décadas el uso del aprendizaje automático (machine learning) y de la inteligencia artificial ha mostrado un crecimiento exponencial en muchas áreas de la ciencia. El hecho de que los ordenadores ...
Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories

Garibo i Orts, Óscar; Baeza-Bosca, Alba; Garcia March, Miguel Angel; Conejero, J. Alberto (IOP Publishing, 2021-12-17)

[EN] Anomalous diffusion occurs at very different scales in nature, from atomic systems to motions in cell organelles, biological tissues or ecology, and also in artificial materials, such as cement. Being able to accurately ...
Gestió integral intel·ligent de l'enllumenat públic com a part d’un projecte d’Smart City

GARIBO ORTS, ÒSCAR (Universitat Politècnica de València, 2015-09-16)

[CA] En aquest projecte anem a presentar una solució que hem instal·lat al Parc Nadal, a Sant Feliu de Llobregat, per tal d’estalviar energia elèctrica consumida pel sistema de enllumenat públic. Farem servir components ...
Inferring the fractional nature of Wu Baleanu trajectories

Conejero, J. Alberto; Garibo-i-Orts, Óscar; Lizama, Carlos (Springer-Verlag, 2023)

[EN] We infer the parameters of fractional discrete Wu Baleanu time series by using machine learning architectures based on recurrent neural networks. Our results shed light on howclearly one can determine that a given ...
Predicting COVID19 pandemic waves including vaccination data with deep learning

Begga, Ahmed; Garibo-i-Orts, Óscar; de María-García, Sergi; Escolano, Francisco; Lozano, Miguel A.; Oliver, Nuria; Conejero, J. Alberto (Frontiers Media S.A., 2023-12-15)

[EN] IntroductionDuring the recent COVID-19 pandemics, many models were developed to predict the number of new infections. After almost a year, models had also the challenge to include information about the waning effect ...
Rational design of a genetic finite state machine: Combining biology, engineering, and mathematics for bio-computer research

Fuente, David; Garibo i Orts, Óscar; Conejero, J. Alberto; Urchueguía Schölzel, Javier Fermín (MDPI AG, 2020-08)

[EN] The recent success of biological engineering is due to a tremendous amount of research effort and the increasing number of market opportunities. Indeed, this has been partially possible due to the contribution of ...
Recovering discrete delayed fractional equations from trajectories

Conejero, J. Alberto; Garibo-i-Orts, Óscar; Lizama, Carlos (John Wiley & Sons, 2023-03-26)

[EN] We show how machine learning methods can unveil the fractional and delayed nature of discrete dynamical systems. In particular, we study the case of the fractional delayed logistic map. We show that given a trajectory, ...
The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence

Sánchez-Roncero, Alejandro; Garibo-i-Orts, Óscar; Conejero, J. Alberto; Eivazi, Hamidreza; Mallor, Fermín; Rosenberg, Emelie; Fuso-Nerini, Francesco; García-Martínez, Javier; Vinuesa, Ricardo; Hoyas, S. (Elsevier, 2023-03)

[EN] The 2030 Agenda of the United Nations (UN) revolves around the Sustainable Development Goals (SDGs). A critical step towards that objective is identifying whether scientific production aligns with the SDGs' achievement. ...