Work

Machine Learning Techniques for Data Reduction of Climate Applications

Year: 2025

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-981-96-8170-9_34

Authors: Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka

Institutions: University of Florida, Oak Ridge National Laboratory

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

Funder: U.S. Department of Energy

Awards: G5275059806, HYBRID LEARNING TECHNIQUES FOR SCIENTIFIC DATA REDUCTION WITH PERFORMANCE GUARANTEES, RAPIDS2: A SCIDAC INSTITUTE FOR COMPUTER SCIENCE, DATA, AND ARTIFICIAL INTELLIGENCE

OpenAlex ID: W4411301060

FWCI: 0.781

Cites: 22

Cited by: 1

Related to: 10