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8 та иш

Иш: Deep learning in neural networks: An overview

  1. The Use of Neural Networks to Improve the Recognition Accuracy of Explosive and Unvoiced Phonemes in Uzbek Language

    Muhammadjon Musaev, Ilyos Khujayorov, Mannon Ochilov

    МақолаMusic and Audio Processing202012 иқтибос
    ABI

  2. Resistive Switching Properties in Memristors for Optoelectronic Synaptic Memristors: Deposition Techniques, Key Performance Parameters, and Applications

    Sattam Al Otaibi, Naveed ur Rehman, Shahid Iqbal +2

    МақолаAdvanced Memory and Neural ComputingACS Applied Electronic Materials20236 иқтибос
    ABI

  3. What's in the box? Explaining the black-box model through an evaluation of its interpretable features

    Francesco Ventura, Tania Cerquitelli

    ПрепринтExplainable Artificial Intelligence (XAI)arXiv (Cornell University)20190 иқтибос
    ABI

  4. Comparative Analysis of Artificial Neural Network Training Algorithms

    Charos Khidirova

    МақолаNeural Networks and Applications2020 International Conference on Information Science and Communications Technologies (ICISCT)20200 иқтибос
    ABI

  5. Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach

    Maria Amodeo, Pasquale Arpaïa, Marco Buzio +2

    МақолаMagnetic Properties and ApplicationsInternational Journal of Neural Systems20210 иқтибос
    ABI

  6. Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building

    Moon Keun Kim, Yang‐Seon Kim, Nuodi Fu +4

    МақолаBuilding Energy and Comfort OptimizationEnergy Reports20250 иқтибос
    ABI

  7. ARTIFICIAL INTELLIGENCE APPLICATIONS FOR GRID-CONNECTED SOLAR INVERTERS

    Utkirjon Murodillaevich Ubaydullaev, Sarvinoz Mirzaeva, Hasan Mustafoev

    МақолаMicrogrid Control and OptimizationHimičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Management20250 иқтибос
    ABI

  8. Analysis of the applicability of deep neural networks for addressing power loss issues in electrical distribution networks

    I U Rakhmonov, Ilhom Nimatullayev, Baigazı Umarov +1

    МақолаElectricity Theft Detection TechniquesAIP conference proceedings20250 иқтибос
    ABI