Accelerating Subglacial Bed Topography Prediction in Greenland: A Performance Evaluation of Spark-Optimized Machine Learning Models

Cham, MostafaTabassum, TartelaShakeri, EhsanWang, Jianwu2024-12-112024-12-112024http://hdl.handle.net/11603/370231 pageen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Extreme Gradient Boosting (XGB)Subglacial Bed TopographyUMBC Big Data Analytics LabApache SparkDistributed ComputingAccelerating Subglacial Bed Topography Prediction in Greenland: A Performance Evaluation of Spark-Optimized Machine Learning ModelsText