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3 ta ish

Ish: A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

  1. Hybrid LSTM–DNN Architecture with Low-Discrepancy Hypercube Sampling for Adaptive Forecasting and Data Reliability Control in Metallurgical Information-Control Systems

    Jasur Sevinov, Barnokhon Temerbekova, Gulnora Bekimbetova +2

    MaqolaForecasting Techniques and ApplicationsProcesses20261 iqtibos
    ABI

  2. Fault Detection in Induction Motors: Recent Advances and Future Prospects

    Sarvarbek Ruzimov, Zhang Jiangzhong, Sherkhon Latipov +1

    MaqolaMachine Fault Diagnosis Techniques20240 iqtibos
    ABI

  3. Coexisting Modes of Oscillations and Grid-Scroll Chaos in Two Coupled Hopfield-Type Inertial Neurons: Theoretical Study and Microcontroller-Based Experiment

    Jacques Kengne, Jean Chamberlain Chedjou, Khabibullo Nosirov

    MaqolaChaos control and synchronizationInternational Journal of Bifurcation and Chaos20250 iqtibos
    ABI