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Mostrando publicaciones 1-5 de 5
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A-Survey: identification and classification of fingerprints via the extreme learning machine algorithm
Zabala-Blanco, David; Martínez-Pereira, Diego; Flores-Calero, Marco; Datta, Jayanta; Dehghan Firoozabadi, Ali (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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Deep neural network aided sparse bayesian learning for wireless access channel estimation in mm-wave massive Mimo cloud radio access network systems
Datta, Jayanta; Zabala-Blanco, David; Castillo Soria, Francisco Ruben (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 ...
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Extreme learning machine for mass spectrometry data analysis
Ulloa Orellana, Mario; López-Cortès, Xaviera A.; Zabala-Blanco, David; Palacios Játiva, Pablo; Datta, Jayanta (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 ...
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Multi-channel target speech enhancement using labeled random finite sets and deep learning under reverberant environments
Datta, Jayanta; Dehghan Firoozabadi, Ali; Zabala-Blanco, David; Castillo Soria, Francisco Ruben; Adams, Martin; Perez, Claudio (2023)We proposed a multi-channel speech enhancement procedure under reverberant conditions with acoustic source tracking and beamforming. A deep learning algorithm was applied to improve the construction of a measurement set ...
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UWB-OFDM System model for breast cancer detection
Rivelli Malcó, Juan Pablo; Zabala-Blanco, David; Ahumada García, Roberto; Datta, Jayanta; Soto, Ismael; Dehghan Firoozabadi, Ali (2022)This research paper proposes a communication system that can be applied in diagnosis through medical imaging. The objective is to spot abnormalities in breasts with a high level of precision, allowing for diagnostics in ...