Buscar
Mostrando publicaciones 21-30 de 56
Conditioning of extreme learning machine for noisy data using heuristic optimization
(2020)
This article provides a tool that can be used in the exact sciences to obtain good approximations to reality when noisy data is inevitable. Two heuristic optimization algorithms are implemented: Simulated Annealing and ...
Extreme learning machine adapted to noise based on optimization algorithms
(2020)
The extreme learning machine for neural networks of feedforward of a single hidden layer randomly assigns the weights of entry and analytically determines the weights the output by means the Moore-Penrose inverse, this ...
Multilayer extreme learning machine as equalizer in OFDM-based radio-over-fiber systems
(2021)
Mobile/wireless networks aim to support diverse services with numerous and sophisticated requirements, such as energy efficiency, spectral efficiency, negligible latency, robustness against time and frequency selective ...
Writer verification based on simple graphemes and extreme learning machine approaches
(2020)
Traditional literature presents complex biometric sources, descriptors, and classifiers to solve the writer's verification problem. The simple graphemes have been studied recently considering classifiers such as multilayer ...
A model based on clusters of similar color and NIR to estimate oil content of single olives
(2021)
Lipid extraction using the traditional, destructive Soxhlet method is not able to measure oil content (OC) on a single olive. As the color and near infrared spectrum are key parameters to build an oil estimation model (EM), ...
Convolutional neural networks for off-line writer identification based on simple graphemes
(2020)
The writer’s identification/verification problem has traditionally been solved by analyzing complex biometric sources (text pages, paragraphs, words, signatures, etc.). This implies the need for pre-processing techniques, ...
The extreme learning machine algorithm for classifying fingerprints
(2020)
Fingerprint recognition is the most employed bio-metric method for identification and verification purposes. Fingerprint images are classified into five categories according to the morphology of their ridges, which decreases ...
Extreme learning machines to combat phase noise in RoF-OFDM schemes
(2019)
Radio-over-fiber (RoF) orthogonal frequency division multiplexing (OFDM) systems have been revealed as the solution to support secure, cost-effective, and high-capacity wireless access for the future telecommunication ...
Multiplicative local binary patterns (MuLBP)
(2019)
Speckle is a multiplicative noise that greatly deteriorates images. In this paper a model of Local Binary Patterns (LBP) adapted to images with speckle (MuLBP) is proposed. The multiplicative model is constructed by ...
Individuals identification based on palm vein matching under a parallel environment
(2019)
Biometric identification and verification are essential mechanisms in modern society. Palm vein recognition is an emerging biometric technique, which has several advantages, especially in terms of security against forgery. ...