Mostrando 7 resultados de: 7
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Proceedings - 2021 IEEE Latin-American Conference on Communications, LATINCOM 2021(2)
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021(1)
IEEE Latin America Transactions(1)
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST(1)
Sensors(1)
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Física aplicada(4)
Ciencias de la computación(3)
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Analysis of Spectrum Detection and Decision Using Machine Learning Algorithms in Cognitive Mobile Radio Networks
Conference ObjectAbstract: In this work, the performance of four Machine Learning Algorithms (MLAs) applied to Cognitive MobilePalabras claves:Coalition game theory (CGT), Cognitive mobile radio networks (CMRNs), Decision tree (DT), Machine learning algorithms (MLAs), Naive bayesian classifier (NBC), support vector machine (SVM)Autores:Azurdia-Meza C.A., Iván Sánchez, Milton Román-Cañizáres, Pablo Palacios Játiva, Zabala-Blanco D.Fuentes:scopusA New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning
ArticleAbstract: This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an undergrPalabras claves:BER, covid-19, CSK, QAM, VlcAutores:Alavia W., Azurdia-Meza C.A., Becerra R., García V., Ijaz M., Pablo Palacios Játiva, Soto I., Zabala-Blanco D., Zamorano-Illanes R.Fuentes:scopusExtreme Learning Machine Based Channel Estimator and Equalizer for Underground Mining VLC Systems
Conference ObjectAbstract: Visible light communication (VLC) systems have numerous applications in harsh environments, such asPalabras claves:bit error rate (BER), Channel estimation, Extreme learning machine (ELM), underground mining, visible light communication (VLC)Autores:Azurdia-Meza C.A., Becerra R., Milton Román-Cañizáres, Pablo Palacios Játiva, Soto I., Zabala-Blanco D.Fuentes:scopusMultilayer extreme learning machine as equalizer in OFDM-based radio-over-fiber systems
ArticleAbstract: Mobile/wireless networks aim to support diverse services with numerous and sophisticated requirementPalabras claves:5G Technology, equalizer, Machine learningAutores:Azurdia-Meza C.A., Firoozabadi A.D., Montejo-Sanchez S., Mora M., Pablo Palacios Játiva, Zabala-Blanco D.Fuentes:scopusPhase-noise Compensation for QPSK-RoF-OFDM Signals with the Extreme Learning Machine Algorithm for Multilayer Perceptron
Conference ObjectAbstract: Radio-over-fiber orthogonal frequency division multiplexing (RoF-OFDM) technology is negatively affePalabras claves:Chromatic dispersion, Extreme learning machine (ELM), Laser phase noise, Orthogonal frequeny division multiplexing (OFDM), radio-over-fiber (RoF)Autores:Azurdia-Meza C.A., Firoozabadi A.D., Kamal S., Marco Javier Flores-Calero, Pablo Palacios Játiva, Soto I., Zabala-Blanco D.Fuentes:googlescopusWireless OFDM links with equalizers based on extreme learning machines
Conference ObjectAbstract: Technologies used in wireless access telecommunications networks, particularly those of mobile telepPalabras claves:Extreme learning machine (ELM), Orthogonal Frequency Division Multiplexing (OFDM), pilot assisted equalization (PAE), Rayleigh channelAutores:Breslin R.D., Firoozabadi A.D., Marco Javier Flores-Calero, Pablo Palacios Játiva, Rivelli Malco J.P., Zabala-Blanco D.Fuentes:googlescopusRelaxation of the radio-frequency linewidth for coherent-optical orthogonal frequency-division multiplexing schemes by employing the improved extreme learning machine
ArticleAbstract: A coherent optical (CO) orthogonal frequency division multiplexing (OFDM) scheme gives a scalable anPalabras claves:Coherent detection, Extreme learning machine (ELM), Laser phase noise, Orthogonal Frequency Division Multiplexing (OFDM), Subcarrier modulation formatAutores:Azurdia-Meza C.A., Firoozabadi A.D., Mora M., Pablo Palacios Játiva, Soto I., Zabala-Blanco D.Fuentes:scopus