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7 ta ish

Ish: Reducing the Dimensionality of Data with Neural Networks

  1. Forecasting electricity consumption by LSTM neural network

    V. Ya. Ushakov, Ikromjon U. Rakhmonov, Numon N. Niyozov +1

    MaqolaEnergy Load and Power ForecastingBulletin of the Tomsk Polytechnic University Geo Assets Engineering202324 iqtibos
    ABI

  2. Energy efficiency indicators

    I U Rakhmonov, Zamira Shayumova, Kamal Reymov +1

    MaqolaEnergy Load and Power ForecastingAIP conference proceedings202410 iqtibos
    ABI

  3. A transfer learning-based fine-tuned ResNet-50 model for scene classification

    O.R. Yusupov, Yigitali Khandamov, Erali Eshonqulov +2

    MaqolaAdvanced Neural Network ApplicationsAIP conference proceedings20251 iqtibos
    ABI

  4. Deep Auto‐encoded Clustering Algorithm for Community Detection in Complex Networks

    Feifan Wang, Baihai Zhang, Senchun Chai

    MaqolaComplex Network Analysis TechniquesChinese Journal of Electronics20190 iqtibos
    ABI

  5. Intelligent Financial Forecasting: A Fusion of Computer Engineering and AI in Accounting

    Ismanov Ibrokhim, Azizkhon Khojaev, Zebo Akhmadalieva +1

    MaqolaStock Market Forecasting Methods20240 iqtibos
    ABI

  6. Calculation of Reliability of Sensors and Detectors in Intelligent System of Telecommunication Network Using Fuzzy Set Methods

    Alevtina Muradova, Aybek Khaytbaev, Dilbar Normatova

    MaqolaMathematical Control Systems and Analysis20250 iqtibos
    ABI

  7. Search for resonances decaying to an anomalous jet and a Higgs boson in proton–proton collisions at $$\sqrt{s}=13\,\text {Te}\hspace{-.08em}\text {V} $$

    A. Hayrapetyan, V. Makarenko, A. Tumasyan +96

    MaqolaParticle physics theoretical and experimental studiesThe European Physical Journal C20260 iqtibos
    ABI