Drilling incident predictors (DIP) anticipate drilling incidents which can lead to non-productive time. Researchers at the University of Texas at Austin produced data-driven and hybrid data-physics ...
Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results