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Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will use and extend deep learning methodology to deal with 3D seismic and electromagnetic data for signals that are emitted for public safety
Eldad Haber
Jingrong Lin;Keegan Lensink;Tue Boesen
Xtract AI
Geography / Geology / Earth science
Professional, scientific and technical services
University of British Columbia
Accelerate
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