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

Files

FastMLPosterMCham115.pdf (2.16 MB)

Links to Files

https://theghub.org/resources/5269/download/FastML-Poster-MCham-115.pdf

Permanent Link

http://hdl.handle.net/11603/37023

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Center for Accelerated Real Time Analysis
UMBC Center for Real-time Distributed Sensing and Autonomy
UMBC Faculty Collection
UMBC GESTAR II
UMBC Information Systems Department

Author/Creator

Tabassum, Tartela

Author/Creator ORCID

https://orcid.org/0000-0002-9933-1170

Date

2024

Type of Work

Rights

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Subjects

Extreme Gradient Boosting (XGB)
Subglacial Bed Topography
UMBC Big Data Analytics Lab
Apache Spark
Distributed Computing