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Open access Jul 2026

Adaptive Attention-Driven ALEXIS Framework for High-Precision ECG Signal Classification

Accurate classification of electrocardiogram (ECG) signals is essential for the early identification of cardiac abnormalities and for supporting timely clinical decision-making. However, conventional machine learning and deep learning approaches often assume stationary signal characteristics and therefore struggle to m...

Nandakumar P, Kotteeswaran C, S. S et al. · 0 citations
Open access Aug 2026

Emerging Trends in Electrical Engineering: Integrating Smart Grid Technologies, Automation, and Artificial Intelligence for Sustainable Power Systems

Smart grids are increasingly important for sustainable power systems because they combine digital communication, automation, renewable energy integration, and intelligent control. However, maintaining grid stability remains challenging due to decentralized producer-consumer interactions, renewable energy variability, a...

K. P., Vinay Raj R, Patel Manish Pravinchandra et al. · 0 citations

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