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Mostrando publicaciones 31-40 de 65
Training strategies to minimize interchannel interference effects using supervised learning in gridless Nyquist-WDM systems
(2021)
The dynamism envisioned in future high-capacity gridless optical networks requires facing several challenges in distortion mitigation, such as the mitigation of interchannel interference (ICI) effects in any optical channel ...
Review of extreme learning machines for the identification and classification of fingerprint databases
(2022)
The fingerprint is one of the most popular and used biometric traits for the identification of people, due to its bio-invariant characteristic, precision, and easy acquisition. One of the stages in the identification of ...
Web-based personal access control system using facial recognition with deep learning techniques
(2022)
This paper presents a web application to control personnel access to a work area without contact; this makes it ideal to help combat the Covid-19 health emergency. For its implementation, deep learning and computer vision ...
Extreme learning machine for mass spectrometry data analysis
(2022)
In this work, we introduce the use of a weighted extreme learning machine (ELM) to give an automated predictive value to mass spectrometry data. In specific, the data obtained with Matrix-Assisted Laser DesorptioMonization-Time ...
Comparative analysis of cooperative routing protocols in cognitive radio networks
(2020)
In this work, we investigate and compare cooperative routing protocols for channel selection purposes. In specific, the following efficient protocols: Channel Selection Scheme for Cooperative Routing Protocols (CSCR) and ...
Propagation features of visible light communication in underground mining environments
(2020)
Due to the problems that radio-frequency technology presents in hostile environments, especially in mining environments, other forms of more robust as well as efficient communication have been explored in recent years. ...
3D multiple sound source localization by proposed cuboids nested microphone array in combination with adaptive wavelet-based subband GEVD
(2020)
Sound source localization is one of the applicable areas in speech signal processing. The main challenge appears when the aim is a simultaneous multiple sound source localization from overlapped speech signals with an ...
OFDM tolerance to additive white Gaussian and laser phase noises in optical heterodyning systems accompanied by the feasible pilot-assisted equalization
(2020)
It is well known that the performance of orthogonal frequency division multiplexing (OFDM) is limited by phase noise, which depends on the laser linewidths for coherent-detection radio over fiber (RoF) systems. In this ...
Deep neural network aided sparse bayesian learning for wireless access channel estimation in mm-wave massive Mimo cloud radio access network systems
(2022)
Cloud Radio Access Network systems with mmWave Massive MIMO framework can be considered as a potential candidate for next generation wireless communications due to its promise of increased spectral efficiency and distributed ...
A-Survey: identification and classification of fingerprints via the extreme learning machine algorithm
(2023)
The fingerprint comes to be the most popular and utilized biometric for identifying persons owing to its bio-invariant characteristic, precision, as well as easy acquisition. A sub-system of an identification system is the ...