Global Sensitivity Analysis-Based Dimension Reduction for Stochastic Unit Commitment von Stover, Oliver, Karve, Pranav M., Mahadevan, Sankaran

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Digital twin approach for damage-tolerant mission planning under uncertainty von Karve, Pranav M., Guo, Yulin, Kapusuzoglu, Berkcan, Mahadevan, Sankaran, Haile, Mulugeta A.

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Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning von Miele, Sarah, Karve, Pranav M, Mahadevan, Sankaran, Agarwal, Vivek

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On the Effects of Constitutive Properties and Roughness of a Hard Inclusion in Soft Tissue on B-mode Images von Karve, Pranav M., Duddu, Ravindra, Tierney, Jaime, Dei, Kazuyuki, Hsi, Ryan, Byram, Brett

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A framework for assessing the uncertainty in wave energy delivery to targeted subsurface formations von Karve, Pranav M., Kallivokas, Loukas F., Manuel, Lance

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Source parameter inversion for wave energy focusing to a target inclusion embedded in a three‐dimensional heterogeneous halfspace von Karve, Pranav M., Fathi, Arash, Poursartip, Babak, Kallivokas, Loukas F.

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A comparison of time-reversal and inverse-source methods for the optimal delivery of wave energy to subsurface targets von Koo, Seungbum, Karve, Pranav M., Kallivokas, Loukas F.

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On an inverse source problem for enhanced oil recovery by wave motion maximization in reservoirs von Karve, Pranav M., Kucukcoban, Sezgin, Kallivokas, Loukas F.

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Graph neural networks for power grid operational risk assessment under evolving unit commitment von Zhang, Yadong, Karve, Pranav M., Mahadevan, Sankaran

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The inverse medium problem for Timoshenko beams and frames: damage detection and profile reconstruction in the time-domain von Karve, Pranav M., Na, Seong-Won, Kang, Jun Won, Kallivokas, Loukas F.

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Wave energy focusing to subsurface poroelastic formations to promote oil mobilization von Karve, Pranav M., Kallivokas, Loukas F.

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Graph neural networks for power grid operational risk assessment under evolving grid topology von Zhang, Yadong, Karve, Pranav M, Mahadevan, Sankaran

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Power grid operational risk assessment using graph neural network surrogates von Zhang, Yadong, Karve, Pranav M, Mahadevan, Sankaran

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Operational risk quantification of power grids using graph neural network surrogates of the DC OPF von Zhang, Yadong, Karve, Pranav M, Mahadevan, Sankaran

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Graph neural networks for power grid operational risk assessment under evolving grid topology von Zhang, Yadong, Karve, Pranav M, Mahadevan, Sankaran

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Operational risk quantification of power grids using graph neural network surrogates of the DC OPF von Zhang, Yadong, Karve, Pranav M, Mahadevan, Sankaran

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Power grid operational risk assessment using graph neural network surrogates von Zhang, Yadong, Karve, Pranav M, Mahadevan, Sankaran

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A Genetic Algorithm-Based Approach for Designing a Fixture That Preserves the Desired Dynamics of a Connecting Part

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Machine Learning Approach in Cooperative Spectrum Sensing for Cognitive Radio Network: Survey von Kulkarni, Vaishali S., Dhope(Shendkar), Tanuja S., Karve, Swagat, Chippalkatti, Pranav, Jadhav, Akshay

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