Michael Byington
Michael has been a data scientist with a focus on machine learning at INGU Solutions since January 2021. He has a PhD in Chemical Engineering from the University of Houston. His thesis work focused on protein crystal nucleation precursors and image processing techniques, and it is this expertise that he now applies at INGU.
Sessions
04-28
11:00
45min
U-Net-style neural networks for feature identification in 1D time-series: applications in pipeline inspection, medicine, and more
Michael Byington
This talk will present U-Net-style networks for discrete feature identification in one dimensional time-series data. We will present applications of this technique for identification of pipe joints in oil & gas and water pipeline inspection data, abnormal heart rhythms in EKG signals, and airport runway deflections. This lighthearted, hands-on, talk is for data science practitioners and their immediate supervisors.
St. Helens