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7 та иш

Иш: 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

    МақолаEnergy Load and Power ForecastingBulletin of the Tomsk Polytechnic University Geo Assets Engineering202324 иқтибос
    ABI

  2. Energy efficiency indicators

    I U Rakhmonov, Zamira Shayumova, Kamal Reymov +1

    МақолаEnergy Load and Power ForecastingAIP conference proceedings202410 иқтибос
    ABI

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

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

    МақолаAdvanced Neural Network ApplicationsAIP conference proceedings20251 иқтибос
    ABI

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

    Feifan Wang, Baihai Zhang, Senchun Chai

    МақолаComplex Network Analysis TechniquesChinese Journal of Electronics20190 иқтибос
    ABI

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

    Ismanov Ibrokhim, Azizkhon Khojaev, Zebo Akhmadalieva +1

    МақолаStock Market Forecasting Methods20240 иқтибос
    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

    МақолаMathematical Control Systems and Analysis20250 иқтибос
    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, В. Макаренко, A. Tumasyan +96

    МақолаParticle physics theoretical and experimental studiesThe European Physical Journal C20260 иқтибос
    ABI