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REU: AI, Data Analytics, and Mixed Reality for Smart and Connected Health

REU: AI, Data Analytics, and Mixed Reality for Smart and Connected Health

at Texas State University/Texas A&M-San Antonio

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Category: Deep Learning

IEEE BIBM-AIBH 2024 Paper Accepted!

Jessica Li’s paper “Data Augmentation for Classifying Multiple Sclerosis Severity through Inertial Measurement Unit-Based Gait Analysis” has been accepted to the AIBH Workshop at the 2024 IEEE BIMB and will be presented in December in Lisbon, Portugal.

Author Damian VallesPosted on November 5, 2024Categories Data Analytics, Deep Learning, PublicationLeave a comment on IEEE BIBM-AIBH 2024 Paper Accepted!

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