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    Reinforcement Learning‐Based Fast Frequency Response Using Energy Storage for Remote Microgrids

    Published in IET Energy Systems Integration (2026)
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    Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials

    Published in IET Power Electronics (2026)
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    IoT-driven anomaly detection in smart grids using multimodal deep learning models

    Published in Turkish Journal of Energy Policy (2026)
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    STATE-OF-THE-ART DEEP LEARNING APPROACHES FOR PREDICTIVE ANALYTICS IN RENEWABLE ENERGY DEMAND FORECASTING

    Published in Acta Electronica Malaysia (2025)
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    EXPLORING THE IMPACT OF DATA MINING IN EDUCATION THROUGH A QUALITATIVE STUDY OF LEARNING PATTERNS

    Published in Acta Electronica Malaysia (2024)
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    A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes

    Published in Electronics Letters (2026)
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    Deep‐Learned Channel Estimation for MIMO‐OFDM System by Exploiting Frequency‐Space Correlation

    Published in Electronics Letters (2025)
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    A Design‐Driven Machine Learning Approach for Invariant Mining in a Smart Grid

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    Insight indoor adaptive behavioural adjustments considering a machine learning-based method

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    From Causes to Forecasts: Granger Causality and Machine Learning Predictions of Housing Sales in Türkiye

    Published in Istanbul Journal of Economics (2026)
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    A systematic literature review on deep learning-driven IDS for software-defined WSN

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    Generation Z, Learning Preferences, and Technology: An Academic Technology Framework Based on Enterprise Architecture

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    Factors in Intentions to Have a Third Child: What Machine Learning Analysis Reveals

    Published in Population and Economics (2025)
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    Reinforcement Learning for Robust Modulation Classification in Non‐Orthogonal Multiple Access (NOMA) Systems

    Published in IET Communications (2026)
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    TSFusion: Multi‐Grained Temporal‐Spatial Graph Learning for Stable Traffic Flow Forecasting

    Published in IET Communications (2026)
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    Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks

    Published in IET Communications (2026)
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    A Practical Evaluation of a Federated Learning Application in IoT Device and Cloud Environment

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    COMPARISON OF MACHINE LEARNING CLUSTERING ALGORITHMS FOR ANALYSING ELECTRICITY USAGE PATTERNS IN CAMPUS AREAS

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    MACHINE LEARNING OF STRUCTURE – PROPERTY RELATIONSHIPS: AN APPLICATION TO HEAT GENERATION DURING PLASTIC DEFORMATION

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    Deep multi-task learning: a review of concepts, methods, and cross-domain applications

    Published in JDSA (2025)
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