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Full-Text Articles in Engineering
Emerging Technologies And Advanced Analyses For Non-Invasive Near-Surface Site Characterization, Aser Abbas
Emerging Technologies And Advanced Analyses For Non-Invasive Near-Surface Site Characterization, Aser Abbas
All Graduate Theses and Dissertations, Fall 2023 to Present
This dissertation introduces novel techniques for estimating the soil small-strain shear modulus (Gmax) and damping ratio (D), crucial for modeling soil behavior in various geotechnical engineering problems. For Gmax estimation, a machine learning approach is proposed, capable of generating two-dimensional (2D) images of the subsurface shear wave velocity, which is directly related to Gmax. The dissertation also presents a method for estimating frequency dependent attenuation coefficients from ambient vibrations collected using 2D arrays of seismic sensors deployed across the ground surface. These attenuation coefficients can then be used in an inversion process …
Optimization Of Full-Inversion Techniques Towards Clinical Ultrasound Elastography, Matthew A. Caius
Optimization Of Full-Inversion Techniques Towards Clinical Ultrasound Elastography, Matthew A. Caius
Electronic Thesis and Dissertation Repository
Breast cancer is one of the most common cancers, representing 25% of all new cancers and 13% of all cancer related deaths in Canadian women. Early detection before treatment of breast cancer is paramount as survival rates decrease significantly over time. Some of the most common diagnostic and screening procedures include breast manual examination, X-ray mammography, ultrasonography and Magnetic Resonance Imaging (MRI). These methods are either unreliable, associated with dangerous ionization or too costly while they all have difficulty differentiating malignant tumors from benign ones without a follow-up biopsy. One technique that has shown a potential to minimize the number …