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IEEE PVIS 2018: In Situ Prediction Driven Feature Analysis in Jet Engine Simulations
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YouTubeINSIGHT Research Laboratory at IITKanpur
IEEE PVIS 2018: In Situ Prediction Driven Feature Analysis in Jet Engine Simulations
Efficient feature exploration in large-scale data sets using traditional post-hoc analysis approaches is becoming prohibitive due to the bottleneck stemming from I/O and output data sizes. This problem becomes more challenging when an ensemble of simulations are required to run for studying the influence of input parameters on the model output ...
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