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Classification of diseased and healthy apple leaves through extreme learning machines
(2022)
Diseases in agricultural crops are a risk for fruit productivity and quality. Chile is a fruit exporting country; that needs the development of technologies for diseases prevention and treatment. Farmers have been exploring ...
Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron
(2022)
Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...
Estimating the number of speakers by novel zig-zag nested microphone array based on wavelet packet and adaptive GCC method
(2022)
In this paper, a new speaker counting algorithm is proposed by novel zig-zag nested array (ZZNA) combining with adaptive generalized cross-correlation (GCC) function (with phase transform (PHAT) and maximum likelihood (ML)) ...
Multi-speaker localization by central and lateral microphone arrays based on the combination of 2D-SRP and subband GEVD algorithms
(2022)
In this paper, a novel speech source localization (SSL) algorithm by the use of the central and lateral microphone arrays is proposed with low complexity and high precision in undesirable acoustical environments. Firstly, ...
On the performance of angular diversity receivers in underground mining VLC systems
(2022)
Visible Light Communications (VLC) have generated great interest in the scientific community in the last five years due to their great adaptation to harsh environments. Among the scenarios that can benefit from the advantages ...
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 ...