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    A Transformative Approach for Breast Cancer Detection Using Physics-Informed Neural Network and Surface Temperature Data 

    Source: ASME Journal of Heat and Mass Transfer:;2024:;volume( 146 ):;issue: 010:;page 101201-1
    Author(s): Perez-Raya, Isaac; Gutierrez, Carlos; Kandlikar, Satish
    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 ...
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    Physics Informed Deep Neural Net Inverse Modeling for Estimating Model Parameters in Permeable Porous Media Flows 

    Source: Journal of Fluids Engineering:;2022:;volume( 144 ):;issue: 006:;page 61102-1
    Author(s): Pashaei Kalajahi, Amin; Perez-Raya, Isaac; D'Souza, Roshan M
    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 ...
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