Uncertainty quantification of grain morphology in laser direct metal deposition von Nath, Paromita, Hu, Zhen, Mahadevan, Sankaran

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Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracy von Nath, Paromita, Olson, Joseph D., Mahadevan, Sankaran, Lee, Yung-Tsun Tina

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Multi-fidelity Modeling for Uncertainty Quantification in Laser Powder Bed Fusion Additive Manufacturing von Nath, Paromita, Sato, Matthew, Karve, Pranav, Mahadevan, Sankaran

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Probabilistic Digital Twin for Additive Manufacturing Process Design and Control von Nath, Paromita, Mahadevan, Sankaran

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Probabilistic predictive control of porosity in laser powder bed fusion von Nath, Paromita, Mahadevan, Sankaran

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Sensor placement for calibration of spatially varying model parameters von Nath, Paromita, Hu, Zhen, Mahadevan, Sankaran

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Dependence structure learning and joint probabilistic forecasting of stochastic power grid variables von Stover, Oliver, Nath, Paromita, Karve, Pranav, Mahadevan, Sankaran, Baroud, Hiba

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Surrogate modeling of microstructure prediction in additive manufacturing von Senthilnathan, Arulmurugan, Nath, Paromita, Mahadevan, Sankaran, Witherell, Paul

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Active learning for adaptive surrogate model improvement in high-dimensional problems von Guo, Yulin, Nath, Paromita, Mahadevan, Sankaran, Witherell, Paul

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Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances von Mahadevan, Sankaran, Nath, Paromita, Hu, Zhen

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Fast surrogate modeling using dimensionality reduction in model inputs and field output: Application to additive manufacturing von Vohra, Manav, Nath, Paromita, Mahadevan, Sankaran, Tina Lee, Yung-Tsun

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Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication von Kapusuzoglu, Berkcan, Nath, Paromita, Sato, Matthew, Mahadevan, Sankaran, Witherell, Paul

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Uncertainty Quantification and Management in Additive Manufacturing von Nath, Paromita

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Preventing clinical deterioration in cancer outpatients: Human centered design of a predictive model and response system von Salwei, Megan Elizabeth, Anders, Shilo, Novak, Laurie, Reale, Carrie, Slagle, Jason, Harris, Joyce, Unertl, Kim, Nath, Paromita, Mahadevan, Sankaran, Agarwal, Rajiv, Elliott, Natalie, Lee, Rachel, Weinger, Matthew B., France, Daniel

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Using Fitbit data to predict clinical deterioration and unplanned treatment events in cancer outpatients von France, Daniel, Nath, Paromita, Mahadevan, Sankaran, Slagle, Jason, Agarwal, Rajiv, Kohutek, Zachary, Gillaspie, Erin Alexis, Rohde, Sarah, Choudhary, Akhil, Harris, Joyce, Rhodes, Evan, Reale, Carrie, Anders, Shilo, Novak, Laurie, Wright, Adam, Freundlich, Robert, Unertl, Kim, Weinger, Matthew B

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Quantitative diagnosis and prognosis framework for concrete degradation due to alkali-silica reaction von Mahadevan, Sankaran, Neal, Kyle, Nath, Paromita, Bao, Yanqing, Cai, Guowei, Orme, Peter, Adams, Douglas, Agarwal, Vivek

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Circulation of group A rotaviruses among neonates of human, cow and pig: study from Assam, a north eastern state of India von Sharma, Rinky, Bora, Durlav Prasad, Chakraborty, Paromita, Das, Sushmita, Barman, Nagendra Nath

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