Search Results - "Ivan Rene Morales"

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  1. 1

    Gamma/neutron classification with SiPM CLYC detectors using frequency-domain analysis for embedded real-time applications by Ivan Rene Morales, Maria Liz Crespo, Mladen Bogovac, Andres Cicuttin, Kalliopi Kanaki, Sergio Carrato

    “…A method for gamma/neutron event classification based on frequency-domain analysis for mixed radiation environments is proposed. In contrast to the traditional…”
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    Journal Article
  2. 2

    A Simplified Correlation Index for Fast Real-Time Pulse Shape Recognition by Cicuttin, Andres, Morales, Iván René, Crespo, Maria Liz, Carrato, Sergio, García, Luis Guillermo, Molina, Romina Soledad, Valinoti, Bruno, Folla Kamdem, Jerome

    Published in Sensors (Basel, Switzerland) (01-10-2022)
    “…A simplified correlation index is proposed to be used in real-time pulse shape recognition systems. This index is similar to the classic Pearson’s correlation…”
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    Journal Article
  3. 3

    Gamma/neutron classification with SiPM CLYC detectors using frequency-domain analysis for embedded real-time applications by Morales, Iván René, Crespo, Maria Liz, Bogovac, Mladen, Cicuttin, Andres, Kanaki, Kalliopi, Carrato, Sergio

    Published in Nuclear engineering and technology (01-02-2024)
    “…A method for gamma/neutron event classification based on frequency-domain analysis for mixed radiation environments is proposed. In contrast to the traditional…”
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    Journal Article
  4. 4

    Gamma/neutron online discrimination based on machine learning with CLYC detectors by Morales, Ivan Rene, Molina, Romina Soledad, Bogovac, Mladen, Jovalekic, Nikola, Crespo, Maria Liz, Kanaki, Kalliopi, Ramponi, Giovanni, Carrato, Sergio

    Published in IEEE transactions on nuclear science (13-11-2024)
    “…An embedded system for gamma and neutron discrimination in mixed radiation environments is proposed, validated with an off-the-shelf detector consisting of a…”
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    Journal Article
  5. 5

    An End-to-End Workflow to Efficiently Compress and Deploy DNN Classifiers on SoC/FPGA by Molina, Romina Soledad, Morales, Ivan Rene, Crespo, Maria Liz, Costa, Veronica Gil, Carrato, Sergio, Ramponi, Giovanni

    Published in IEEE embedded systems letters (01-09-2024)
    “…Machine learning (ML) models have demonstrated discriminative and representative learning capabilities over a wide range of applications, even at the cost of…”
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    Journal Article