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A Transformative Approach for Breast Cancer Detection Using Physics-Informed Neural Network and Surface Temperature Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Early detection is the most effective defense against breast cancer. Mammography is a well-established X-ray-based technique that is used for annual or biennial screening of women above age of 40. Since the dense breast ...
Physics Informed Deep Neural Net Inverse Modeling for Estimating Model Parameters in Permeable Porous Media Flows
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We present a method that combines a physics-informed deep neural network and Stokes' second problem to estimate the porosity and the permeability of a porous medium. Particularly, we investigate the accuracy of physics-informed ...