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A two-stage WT-PSO-RBFNN framework in which adaptive db4 level-3 wavelet thresholding performs fault detection and a PSO-optimized radial basis function neural network performs phase/ground classification using normalized wavelet-domain features is proposed.
The spatio-temporal fusion network (STFNet) is proposed, a explainable hybrid model that integrates convolutional neural networks for local feature extraction, unidirectional Long Short-Term Memory networks for temporal modelling, and XGBoost for nonlinear prediction, enhanced by a novel cloud-conditioned bidirectional...
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