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Phaeshees Net Paper: Using ML to Streamline Full-Wave Inversion
This chapter focuses on the Phaeshees Net Paper, which applies machine learning and deep learning to simplify and accelerate the computational-intensive process of full-wave inversion in the energy industry. The speaker discusses the breakthrough in computational simplification, the use of high-performance computing, and how deep learning frameworks efficiently reconstruct images and classify interesting areas within them.