Operational Resilience of Nuclear-Renewable Integrated-Energy Microgrids von Poudel, Bikash, Lin, Linyu, Phillips, Tyler, Eggers, Shannon, Agarwal, Vivek, McJunkin, Timothy

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Detection method of the seat belt for workers at height based on UAV image and YOLO algorithm von Liu, Yuzheng, Zhang, Jianxun, Shi, Lei, Huang, Mingxiang, Lin, Linyu, Zhu, Lingfeng, Lin, Xianglu, Zhang, Chuanlei

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Development of a nearly autonomous management and control system for advanced reactors von Lin, Linyu

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Uncertainty quantification and software risk analysis for digital twins in the nearly autonomous management and control systems: A review von Lin, Linyu, Bao, Han, Dinh, Nam

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Trustworthiness modeling and evaluation for a nearly autonomous management and control system von Wang, Longcong, Lin, Linyu, Dinh, Nam

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Trustworthiness modeling and evaluation for a nearly autonomous management and control system von Wang, Longcong, Lin, Linyu, Dinh, Nam

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Data coverage assessment on neural network based digital twins for autonomous control system von Wang, Longcong, Lin, Linyu, Dinh, Nam

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Autonomous control for Heat-Pipe microreactor using Data-Driven model predictive control von Lin, Linyu, Oncken, Joseph, Agarwal, Vivek

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Autonomous control for Heat-Pipe microreactor using Data-Driven model predictive control von Lin, Linyu, Oncken, Joseph, Agarwal, Vivek

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Development and assessment of prognosis digital twin in a NAMAC system von Lin, Linyu, Gurgen, Anil, Dinh, Nam

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Data coverage assessment on neural network based digital twins for autonomous control system von Wang, Longcong, Lin, Linyu, Dinh, Nam

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Development of the Machine Learning-based Safety Significant Factor Inference Model for Diagnosis in Autonomous Control System von Lee, Joomyung, Lin, Linyu, Athe, Paridhi, Dinh, Nam

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Reliability modeling in a predictive maintenance context: A margin-based approach von Mandelli, Diego, Wang, Congjian, Agarwal, Vivek, Lin, Linyu, Manjunatha, Koushik A.

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Digital-twin-based improvements to diagnosis, prognosis, strategy assessment, and discrepancy checking in a nearly autonomous management and control system von Lin, Linyu, Athe, Paridhi, Rouxelin, Pascal, Avramova, Maria, Gupta, Abhinav, Youngblood, Robert, Lane, Jeffrey, Dinh, Nam

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Development and assessment of a nearly autonomous management and control system for advanced reactors von Lin, Linyu, Athe, Paridhi, Rouxelin, Pascal, Avramova, Maria, Gupta, Abhinav, Youngblood, Robert, Lane, Jeffrey, Dinh, Nam

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Using deep learning to explore local physical similarity for global-scale bridging in thermal-hydraulic simulation von Bao, Han, Dinh, Nam, Lin, Linyu, Youngblood, Robert, Lane, Jeffrey, Zhang, Hongbin

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Development and assessment of a model predictive controller enabling anticipatory control strategies for a heat-pipe system von Lin, Linyu, Oncken, Joseph, Agarwal, Vivek, Permann, Cody, Gribok, Andrei, McJunkin, Timothy, Eggers, Shannon, Boring, Ronald

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Adequacy evaluation of smoothed particle hydrodynamics methods for simulating the external-flooding scenario von Lin, Linyu, Montanari, Niels, Prescott, Steven, Sampath, Ram, Bao, Han, Dinh, Nam

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Predictive Capability Maturity Quantification Using Bayesian Network von Lin, Linyu, Dinh, Nam

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Digital-twin-based improvements to diagnosis, prognosis, strategy assessment, and discrepancy checking in a nearly autonomous management and control system von Lin, Linyu, Athe, Paridhi, Rouxelin, Pascal, Avramova, Maria, Gupta, Abhinav, Youngblood, Robert, Lane, Jeffrey, Dinh, Nam

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