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Mostrando ítems 11-20 de 328
Model-based local thresholding for canopy hemispherical photography
(National Research Council Canada-NRC Research Press, 2018-07)
Canopy hemispherical photography (HP) is widely used to estimate forest structural variables. To achieve good results with HP, a classification algorithm is needed to produce binary images to accurately estimate the gap ...
Inferring adaptive regulation thresholds and association rules from gene expression data through combinatorial optimization learning
(IEEE Computer Society, 2007-10-12)
There is a need to design computational methods to support the prediction of gene regulatory networks (GRNs). Such models should offer both biologically meaningful and computationally accurate predictions which, in combination ...
Adaptive threshold in TiO 2 -based synapses
(IOP Publishing, 2019-01)
We measured and analyzed the dynamic and remnant current-voltages curves of Al/TiO2/Au and Ni/TiO2/Ni/Au memory devices in order to understand the conduction mechanisms and their synapse-like memory properties. Current ...
Adaptive threshold in TiO2-based synapses
(IOP Publishing, 2019)
Abstract: We measured and analyzed the dynamic and remnant current-voltages curves of Al/TiO2/Au
and Ni/TiO2/Ni/Au memory devices in order to understand the conduction mechanisms and their synapselike
memory properties. ...
A Multilevel thresholding algorithm using electromagnetism optimization
(2014)
Segmentation is one of the most important tasks in image processing. It consists of classifying the pixels into two or more groups depending on their intensity levels and a threshold value. The quality of the segmentation ...
A Multilevel thresholding algorithm using electromagnetism optimization
(2014)
Segmentation is one of the most important tasks in image processing. It consists of classifying the pixels into two or more groups depending on their intensity levels and a threshold value. The quality of the segmentation ...
Piecewise-constant optimal control strategies for controlling the outbreak of COVID-19 in the Irish population
We introduce a deterministic SEIR model and fit it to epidemiological data for the COVID-19 outbreak in
Ireland. We couple the model to economic considerations — we formulate an optimal control problem in
which the cost ...
Impact of Thresholds and Load Patterns when Executing HPC Applications with Cloud Elasticity
(Centro Latinoamericano de Estudios en Informática, 2016)
Optimal Ratcheting of Dividends in a Brownian Risk Model
(2020)
We study the problem of optimal dividend payout from a surplus process governed by Brownian motion with drift under the additional constraint of ratcheting,
i.e. the dividend rate can never decrease. We solve the resulting ...