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Machine Learning Key to Proposed App that Could Help Flood-prone Communities

Sep 28, 2023
School of Computational Science and Engineering (CSE) Assistant Professor Peng Chen is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.

Machine Learning Could be Key to Early Leakage Detection in Underground Carbon Storage Sites

Image
SLIM Group CNF.jpeg
Mercury ID
672627
Dec 20, 2023

The feasibility study by Georgia Tech researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ability could make monitoring underground storage sites more

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