Melanie Hiles successfully defended her MSc Thesis, Friday, September 4th, 2020: Classifying Formulations and Tracking Accelerated Aging of Crosslinked Polyethylene Pipes by Applying Machine Learning Concepts to Infrared Spectra
Melanie Hiles successfully defended her MSc Thesis, Friday, September 4th, 2020: Classifying Formulations and Tracking Accelerated Aging of Crosslinked Polyethylene Pipes by Applying Machine Learning Concepts to Infrared Spectra