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Hybrid-input FCN-CNN-SE for industrial applications : classification of longitudinal cracks during continuous casting
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Cluster-based input weight initialization for echo state networks
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Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process
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DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
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Exploring data-driven models for spatiotemporally local classification of Alfven eigenmodes
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PyRCN : a toolbox for exploration and application of Reservoir Computing Networks
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Real-time and adaptive reservoir computing with application to profile prediction in fusion plasma
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Alfven eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks
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Unsupervised pretraining of echo state networks for onset detection
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Improved acoustic modeling for automatic piano music transcription using echo state networks
(2021) ADVANCES IN COMPUTATIONAL INTELLIGENCE (IWANN 2021), PT II. In Lecture Notes in Computer Science 12862. p.143-154