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Работы, цитирующие эту работу

Работ: 7

Работа: 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

    СтатьяEnergy Load and Power ForecastingBulletin of the Tomsk Polytechnic University Geo Assets Engineering2023Цитирований: 24
    ABI

  2. Energy efficiency indicators

    I U Rakhmonov, Zamira Shayumova, Kamal Reymov +1

    СтатьяEnergy Load and Power ForecastingAIP conference proceedings2024Цитирований: 10
    ABI

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

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

    СтатьяAdvanced Neural Network ApplicationsAIP conference proceedings2025Цитирований: 1
    ABI

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

    Feifan Wang, Baihai Zhang, Senchun Chai

    СтатьяComplex Network Analysis TechniquesChinese Journal of Electronics2019Цитирований: 0
    ABI

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

    Ismanov Ibrokhim, Azizkhon Khojaev, Zebo Akhmadalieva +1

    СтатьяStock Market Forecasting Methods2024Цитирований: 0
    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

    СтатьяMathematical Control Systems and Analysis2025Цитирований: 0
    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

    СтатьяParticle physics theoretical and experimental studiesThe European Physical Journal C2026Цитирований: 0
    ABI