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Abstract: Unsupervised Machine Learning Delineates the Variability of Turbidites in Unconfined Systems: A Distal Bengal Fan Case Study (AGU25)

Unsupervised Machine Learning Delineates the Variability of Turbidites in Unconfined Systems: A Distal Bengal Fan Case Study

Zijie Gao, University of Kansas, Earth, Energy & Environment Center, Lawrence, United States, Jennifer Pickering, University of Memphis, Center for Applied Earth Science and Engineering Research (CAESER), Memphis, United States, Neal Auchter, Shell International Exploration and Production Inc, Houston, United States and Michael D Blum, University of Kansas, Lawrence, KS, United States
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