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Cited article:

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A Novel Unsupervised Gated Recurrent Neural Network for Plasma Disruption Prediction in Aditya Tokamak Using Dynamic Threshold-Based Temporal Differentiation

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AI-driven physics-informed neural operators for predictive modelling of plasma turbulence in simulated fusion reactor environments

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Predicting Spatio-Temporal Dynamics in Multi-Dimensional Turbulent Flows via Hankel Sparsity-Promoting Dynamic Mode Decomposition

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