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Assessment of Stacked LSTM, Bidirectional LSTM, ConvLSTM2D, and Auto Encoders LSTM Time Series Regression Analysis at ADITYA-U Tokamak

IEEE TRANSACTIONS ON PLASMA SCIENCE(2024)

Cited 3|Views11
Key words
Plasmas,Data models,Predictive models,Training,Tokamak devices,Discharges (electric),Neural networks,ADITYA-U tokamak,deep learning,disruption,long short-term memory (LSTM)
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