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Mostrando publicaciones 1-20 de 80
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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 ...
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A general MIMO VLC channel model for underground mining environments
(2022)Underground Mining (UM) is a harsh environment that involves multiple threats to worker safety and needs adequate wireless communications to ensure worker well-being and optimize miner efficiency. While radio frequency ...
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A hyper-parameter optimizer algorithm based on conditional opposition local-based learning forbidden redundant indexes adaptive artificial bee colony applied to regularized extreme learning machine
(2024)Finding the best configuration of a neural network’s hyper-parameters may take too long to be feasible using an exhaustive search, especially when the cardinality of the search space has a big combinatorial number of ...
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A multi-channel speech enhancement method based on subband affine projection algorithm in combination with proposed circular nested microphone array
(2021)In this paper, a novel multi-channel speech enhancement system is introduced based on a proposed circular nested microphone array (C-NMA) in combination with subband affine projection algorithm (SB-APA). The multi-channel ...
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A new COVID-19 detection method based on CSK/QAM visible light communication and machine learning
(2023)This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an underground channel using visible light communication (VLC) and machine learning (ML). We present mathematical models of COVID-19 ...
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A new Internet of things hybrid VLC/RF System for m-Health in an underground mining industry
(2024)This paper proposes a new system based on the Industrial Internet of Things (IIoT) for the monitoring of Mobile Health (m-Health) of workers in the underground mining industry. The proposed architecture uses a hybrid ...
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A novel and adaptive angle diversity-based receiver for 6g underground mining vlc systems
(2022)Visible light communication (VLC) is considered an enabling technology for future 6G wireless systems. Among the many applications in which VLC systems are used, one of them is harsh environments such as Underground ...
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A novel frequency domain visible light communication (VLC) three-dimensional trilateration system for localization in underground mining
(2019)A new visible light communication (VLC) system is proposed for localization in underground mining. Existent systems, such as global positioning system (GPS) and systems based on mobile communication, are generally not ...
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A novel traffic prediction method using machine learning for energy efficiency in service provider networks
(2023)This paper presents a systematic approach for solving complex prediction problems with a focus on energy efficiency. The approach involves using neural networks, specifically recurrent and sequential networks, as the main ...
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A VLC channel model for underground mining environments with scattering and shadowing
(2020)Underground mining is an industry that preserves the miners' safety and efficiency in their work using wireless communication systems as a tool. In addition to communication links characterized by radio frequency signals, ...
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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 ...
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All-optical routers modeled through the matrix method with NVidia CUDA development framework
(2019)Optical packet switching (OPS) is a promising technology in order to satisfy the ever-increasing need for bandwidth. With this technology, data packets, which consist of a header and a payload, are assembled and transmitted ...
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Analysis of a visible light positioning database in extreme learning machines applications
(2024)Over the past few years, there has been a growing interest in indoor positioning systems that use Visible Light Communication (VLC) technology in conjunction with light-emitting diodes (LEDs). These systems have become ...
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Analysis of spectrum detection and decision using machine learning algorithms in cognitive mobile radio networks
(2021)In this work, the performance of four Machine Learning Algorithms (MLAs) applied to Cognitive Mobile Radio Networks (CMRNs) are analyzed. These algorithms are Coalition Game Theory (CGT), Naive Bayesian Classifier (NBC), ...
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Automatic recognition system for traffic signs in Ecuador based on faster R-CNN with ZFNet
(2022)This research presents an application of the Deep Learning technology in the development of an automatic system detection of traffic signs of Ecuador. The development of this work has been divided into two parts, i) in ...
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Automation of counting and analysis of biological samples through computer vision and telecommunication technologies
(2023)This document addresses a study that aims to simplify and automate the counting and analysis of biological samples, specifically pathogens cultivated in Petri dishes. The study focuses on the use of computer vision techniques ...
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BER improvement using the better than double-jump 2 pulse in OFDM schemes prone to frequency offset
(2019)Orthogonal frequency division multiplexing (OFDM) is highly sensitive to frequency offset since it induces inter-carrier interference (ICI). Fortunately, the pulse shaping filter method has proven its potential to reduce ...
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BER performance of OFDM-based visible light communication systems
(2019)In this paper, OFDM-based techniques designed for Intensity Modulation/Direct Detection (IMDD) modulation applied to Visible Light Communications (VLC) systems are evaluated. The evaluated techniques are Asymmetrically ...
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Classification of diseased and healthy apple leaves through extreme learning machines
; ; ; ; Barrientos, Ricardo
(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 ...
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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 ...