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Mostrando publicaciones 51-56 de 56
Detection of Parkinson’s disease based on spectrograms of voice recordings and Extreme Learning Machine random weight neural networks
(2023)
Parkinson’s disease consists in the degeneration of the mesencephalic black substance, affecting the dopaminergic vias. Its causes are varied, including exposure to pesticides, genetic factors and, one of the most influential ...
Estimation of the optimal number of neurons in extreme learning machine using simulated annealing and the golden section
(2023)
Extreme learning machine is a neural network algorithm widely accepted in the scientific community due to the simplicity of the model and its good results in classification and regression problems; digital image processing, ...
A comprehensive review of extreme learning machine on medical imaging
(2023)
The feedforward neural network based on randomization has been of great interest in the scientific community, particularly extreme learning machines, due to its simplicity, training speed, and levels of accuracy comparable ...
A parallel computing method for the computation of the Moore-Penrose generalized inverse for shared-memory architectures
(2023)
The computation of the Moore–Penrose generalized inverse is a commonly used operation in various fields such as the training of neural networks based on random weights. Therefore, a fast computation of this inverse is ...
Metagenomic binning based on unsupervised extreme learning machine
(2023)
Metagenomics studies the genetic information of microbial communities in different contexts. As metagenomic DNA is often fragmented and then sequenced into small reads, these reads can be assembled into longer sequences ...
Accelerated biometric fingerprint search on a multi-GPU environment
(2023)
One of the largest biometric databases in Chile is fingerprints, which is also the most widely used biometric in the national context. In this sense, it is relevant to have efficient algorithms in execution time on this ...