Listar Artículos Científicos por autor 

Listar Artículos Científicos por autor

Mostrando publicaciones 21-40 de 65

  • Detection of obfuscated malware by engineering memory functions applying ELM 

    Moraga, Leonardo Igor; Rivelli Malcó, Juan Pablo; Zabala-Blanco, David; Ahumada-García, Roberto; Azurdia-Meza, Cesar A.; Dehghan Firoozabadi, Ali (2023)
    Memory analysis is critical to detecting malicious processes, as it can capture various characteristics and behaviors. However, although it is a field in full research, there are still some major obstacles in malware ...

  • Development of an Aviat antenna calibration device to improve communications efficiency 

    Igor Moraga, Leonardo Bastián; Rivelli Malcó, Juan Pablo; Zabala-Blanco, David; Ahumada-García, Roberto (2023)
    This research article presents the development of an innovative device designed to precisely calibrate Aviat antennas, with a specific focus on the ODU 600 model. The article's introduction emphasizes the necessity for ...

  • Empirical path loss distribution for visible light communications in underground mines 

    Zabala-Blanco, David; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Román, Milton; Seguel, Fabián; Soto, Ismael (2020)
    Visible light communication (VLC) systems allow communication and lighting simultaneously. This advantage presents VLC as an emerging technology to provide reliable communication in harsh environments, such as underground ...

  • Estimating the number of speakers by novel zig-zag nested microphone array based on wavelet packet and adaptive GCC method 

    Dehghan Firoozabadi, Ali; Irarrázaval, Pablo; Adasme, Pablo; Zabala-Blanco, David; Palacios Játiva, Pablo; Durney, Hugo; Sanhueza Olave, Miguel (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)) ...

  • Evaluation of extreme learning machines for detecting heart diseases 

    Martínez, Diego; Zabala-Blanco, David; Ahumada-Garcia, Roberto; Soto, Ismael; Dehghan Firoozabadi, Ali; Palacios Játiva, Pablo (2023)
    Currently, cardiovascular diseases are the leading cause of human death according to the World Health Organization. Their prediction allows doctors to indicate preventive measures to their patients and perform procedures ...

  • Evaluation of localization precision by proposed quasi-spherical nested microphone array in combination with multiresolution adaptive steered response power 

    Dehghan Firoozabadi, Ali; Irarrazaval, Pablo; Adasme, Pablo; Zabala-Blanco, David; Azurdia-Meza, Cesar A. (2020)
    Multiple sound source localization in noisy and reverberant conditions is one of the important challenges in the speech signal processing. The aim of this article is three-dimensional sound source localization in undesirable ...

  • Experimental study of visible light communication links with a strong line of sight component 

    Fredes Utreras, Camilo; Fabres Ávalos, Vincko; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Soto, Ismael; Zabala-Blanco, David (2023)
    The importance of studying visible light communications (VLC) systems is present today and growing each day due to the possibilities of higher data rates, security, and various applications. In this manuscript, we study ...

  • Extreme learning machine (ELM) for detection of hazardous near Earth objects 

    Ahumada-García, Roberto; Morán Faúndez, Esteban; Zabala-Blanco, David; López-Cortés, Xaviera A.; Rivelli Malco, Juan Pablo; Soto, Ismael (2023)
    The protection of planet Earth, its inhabitants, and all living beings requires the identification of potentially dangerous objects, the simulation of impacts with Earth, and the mitigation of such threats. This research ...

  • Extreme learning machine for iris-based diabetes detection 

    Fernandez-Grandon, Carlos; Soto, Ismael; Zabala-Blanco, David (2023)
    This study proposes a methodology for iris-based diabetes detection in 130 subjects, in which geometric transformations and changes in brightness and contrast were applied to increase to 1300 images, and a selection of 10% ...

  • 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 ...

  • Extreme learning machine-based receiver for multi-user massive MIMO systems 

    Carrera, Diego F.; Zabala-Blanco, David; Vargas-Rosales, Cesar; Azurdia-Meza, Cesar A. (2021)
    An extreme learning machine (ELM)-based receiver for multi-user massive MIMO systems is introduced. The proposed ELM combining method, defined in the complex plane, is designed to directly perform MIMO combining processing ...

  • Extreme learning machines as equalizers on optical OFDM systems 

    Mascaró-Muñoz, Agustín; Ahumada García, Roberto; Zabala-Blanco, David; Azurdia-Meza, César A.; Soto, Ismael; Palacios Játiva, Pablo (2023)
    Optical Fiber Radio (RoF) systems based on OFDM meet the needs of high transmission and reception speeds, as well as offering greater reliability in the system. These systems are exposed to various disturbances, such as ...

  • Extreme learning machines for detecting the water quality for human consumption 

    Barría Valdebenito, Pedro; Zabala-Blanco, David; Ahumada-García, Roberto; Soto, Ismael; Dehghan Firoozabadi, Ali; Flores-Calero, Marco (2023)
    Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, ...

  • Extreme learning machines for predict the diamond price range 

    Ramírez, José; Zabala-Blanco, David; Ahumada-García, Roberto; Rivelli Malcó, Juan Pablo; Dehghan Firoozabadi, Ali; Flores-Calero, Marco (2023)
    Gemstones, such as diamonds, are used in various applications, from jewelry to technology, where they have recently been considered as semiconductor materials. However, the value of diamonds is difficult to measure due to ...

  • Extreme learning machines to combat phase noise in RoF-OFDM schemes 

    Zabala-Blanco, David; Mora, Marco ORCID; Azurdia-Meza, Cesar A.; Dehghan Firoozabadi, Ali (2019)
    Radio-over-fiber (RoF) orthogonal frequency division multiplexing (OFDM) systems have been revealed as the solution to support secure, cost-effective, and high-capacity wireless access for the future telecommunication ...

  • Fingerprint classification through standard and weighted extreme learning machines 

    Zabala-Blanco, David; Mora, Marco ORCID; Barrientos, Ricardo ORCID; Hernández-García, Ruber; Naranjo-Torres, José (2020)
    Fingerprint classification is a stage of biometric identification systems that aims to group fingerprints and reduce search times and computational complexity in the databases of fingerprints. The most recent works on this ...

  • Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron 

    Zabala-Blanco, David; Quinteros, Axel; Mora, Marco ORCID; Hernández-García, Ruber; Flores-Calero, Marco (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 ...

  • Finite field metrics applied to M-FSK modulation in VLC systems 

    Guajardo-Penroz, Cristobal; Soto, Ismael; San-Juan, Enrique; Adasme, Pablo; Azurdia-Meza, Cesar A.; Zabala-Blanco, David (2020)
    This paper provides an alternative to digital filter based frequency detection for multi-frequency shift keying modulation (M-FSK) using field programmable gate array (FPGA) architectures, by providing a hamming space ...

  • ICI reduction by using the improved double-jump 1 pulse in MQAM-OFDM schemes 

    Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Montejo-Sánchez, Samuel; Dehghan Firoozabadi, Ali; Palacios Játiva, Pablo; Soto, Ismael (2020)
    Orthogonal frequency division multiplexing (OFDM) is sensitive to frequency offset since it causes inter-carrier interference (ICI). Frequency offset results from the receiver's crystal oscillator inaccuracy, Doppler spread, ...

  • Improved double-jump 2 pulse to compensate frequency offset in MQAM-OFDM systems 

    Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Palacios-Játiva, Pablo (2020)
    Orthogonal frequency division multiplexing (OFDM) is severely affected by the frequency offset because of it causes inter-carrier interference (ICI). ICI can be diminished with the assistance of any pulse that complies the ...