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22 та иш

Иш: Explainable AI for Predictive Maintenance in Industrial IoT: A Transfer Learning Approach

  1. A systematic literature review on Intuitionistic Fuzzy Decision Making with Applications in Green Energy

    Bhagawati Prasad Joshi, Akhilesh Kumar Singh, Nagendra Kumar +3

    Мақола202433 иқтибос
    ABI

  2. Fuzzy-Deep Learning-Based Artificial Intelligence for Edge Computing and Real-Time Decision-Making in Uncertain IoT Environments

    Bhagawati Prasad Joshi, Akhilesh Kumar Singh, Nagendra Kumar +1

    Мақола202527 иқтибос
    ABI

  3. Renewable-Energy-System Applications of Ambiguous-Fuzzy-Hybrid-Averaging Operator

    Nisha Singh, Bhagawati Prasad Joshi, Sachin Gupta +2

    Мақола202419 иқтибос
    ABI

  4. Modeling of extended osprey optimization algorithm with Bayesian neural network: An application on Fintech to predict financial crisis

    Ilyоs Abdullayev, Elvir Akhmetshin, Irina V. Kosorukova +3

    МақолаStock Market Forecasting MethodsAIMS Mathematics202410 иқтибос
    ABI

  5. Predictive Modeling of Financial Crisis Using Advanced Classification Models Powered by Neutrosophic Fusion of Rough Set Theory

    Elvir Akhmetshin, Ilyos Abdullayev, Hafis Hajiyev +1

    Мақола202410 иқтибос
    ABI

  6. Securing IoT devices with zero day intrusion detection system using binary snake optimization and attention based bidirectional gated recurrent classifier

    Ali Saeed Almuflih, Ilyоs Abdullayev, Sergey Bakhvalov +4

    МақолаNetwork Security and Intrusion DetectionScientific Reports20249 иқтибос
    ABI

  7. An Innovative Approach to Financial Distress Prediction Using Relative Weighted Neutrosophic Valued Distances

    Ilyоs Abdullayev, Eduard Osadchy, Natalya Shcherbakova +1

    Мақола20245 иқтибос
    ABI

  8. Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges

    Jovani Dalzochio, Rafael Kunst, Edison Pignaton +4

    Мақола20202 иқтибос
    ABI

  9. Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends

    Ayşegül Uçar, Mehmet Karaköse, Necim Kırımça

    Мақола20242 иқтибос
    ABI

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