Buscar
Mostrando ítems 1-9 de 9
A time dependent Bayesian nonparametric model for air quality analysis
(Elsevier, 2016)
Air quality monitoring is based on pollutants concentration levels, typically recorded in
metropolitan areas. These exhibit spatial and temporal dependence as well as seasonality
trends, and their analysis demands flexible ...
Bayesian framework to quantify uncertainties in piezoelectric energy harvesters
(American Society of Mechanical Engineers (ASME), 2018)
The interest of this work is to describe a framework that allows the use of the well-known dynamic estimators in piezoelectric harvester (deterministic performance estimators) but taking into account the random error ...
Monte Carlo dropout for uncertainty estimation and motor imagery classification
(Corporación Universidad de la Costa, 2021)
A deep learning model of radio wave propagation for precision agriculture and sensor system in greenhouses
(MDPI AGSwitzerland, 2023)
An additional layer of protection through superalarms with diagnosis capabilityUna nueva capa de protección a través de súper alarmas con capacidad de diagnóstico
(CT y F - Ciencia, Tecnologia y Futuro, 2020)
An artificial bee bare-bone hunger games search for global optimization and high-dimensional feature selection
(Elsevier Inc.United States, 2023)