Papers

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Efficient Compression of Reactor Vessel Monitoring Sensor Data Using Machine Learning

1:00–1:20PM EST

Styliani Pantopoulou (Purdue), Anthonie Cilliers (Kairos Power), Lefteri Tsoukalas (Purdue), Alexander Heifetz (ANL)

Partial Nuclear Fuel Melt Predictions Using LSTM as Surrogate Model

1:20–1:40PM EST

James Daniell (Missouri Univ. Science and Technology), Kazuma Kobayashi (Univ. Illinois, Urbana-Champaign), Syed Alam (Univ. Illinois, Urbana-Champaign)

Predicting Plenum Pressure Using Operational Parameters in Nuclear Fuels

1:40–2:00PM EST

James Daniell (Missouri Univ. Science and Technology), Kazuma Kobayashi (Univ. Illinois, Urbana-Champaign), Syed Alam (Univ. Illinois, Urbana-Champaign)

Multivariate Time Series Classification Using Convolutional Neural Networks for Real-Time Anomaly Detection in Nuclear Reactors

2:00–2:20PM EST

Konstantinos Vasili (Purdue), Zachery Thomas Dahm (Purdue), Konstantinos Gkouliaras (Purdue), Vasileios Theos (Purdue), William Richards (Purdue), Stylianos Chatzidakis (Purdue)


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