pBO-2GP-3B: A batch parallel known/unknown constrained Bayesian optimization with feasibility classification and its applications in computational fluid dynamics von Tran, Anh, Sun, Jing, Furlan, John M., Pagalthivarthi, Krishnan V., Visintainer, Robert J., Wang, Yan

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WearGP: A computationally efficient machine learning framework for local erosive wear predictions via nodal Gaussian processes von Tran, Anh, Furlan, John M., Pagalthivarthi, Krishnan V., Visintainer, Robert J., Wildey, Tim, Wang, Yan

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Content Classification and Context-Based Retrieval System for E-Learning von Mittal, Ankush, Krishnan, Pagalthivarthi V, Altman, Edward

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Determination of wear coefficients for erosive wear prediction through Coriolis wear testing von Tian, Harry H., Addie, Graeme R., Pagalthivarthi, Krishnan V.

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Particle tracking in rotating channel flow von Pagalthivarthi, Krishnan V, Gupta, Pankaj K

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Analytical and numerical prediction of inviscid free surface flow in rotating channel von Pagalthivarthi, Krishnan V., Ramanathan, Veeraraghavan

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Finite element study of free surface turbulent flow in rotating channels von Pagalthivarthi, Krishnan V., Ramanathan, Veeraraghavan

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Temporal Bayesian Network based contextual framework for structured information mining von Mittal, Ankush, Pagalthivarthi, Krishnan V.

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Temporal Bayesian Network based contextual framework for structured information mining: Image: information and control von MITTAL, Ankush, PAGALTHIVARTHI, Krishnan V

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Multi-Size Particulate Flow through Rotating Channel — Modeling and Validation Using Three Turbulence Models von Gupta, Pankaj K., Pagalthivarthi, Krishnan V.

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A comparative study of the effect of model lift coefficients on particle trajectory von Pankaj, K Gupta, Pagalthivarthib, Krishnan V

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