Nam Dinh - RankMe

17 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Evaluating the reliability of machine-learning-based predictions used in nuclear power plant instrumentation and control systems. Reliab. Eng. Syst. Saf. Edward Chen, Han Bao, Nam Dinh
2024	J	`jnl`	Trustworthiness modeling and evaluation for a nearly autonomous management and control system. Reliab. Eng. Syst. Saf. Longcong Wang, Linyu Lin, Nam Dinh
2023	J	`jnl`	Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation & Control Systems. CoRR Edward Chen, Han Bao, Nam Dinh
2022	J	`jnl`	Application of Orthogonal Defect Classification for Software Reliability Analysis. CoRR Edward Chen, Han Bao, Tate Shorthill, Carl R. Elks, Athira Varma Jayakumar, Nam Dinh
2022	J	`jnl`	Failure Mechanism Traceability and Application in Human System Interface of Nuclear Power Plants using RESHA. CoRR Edward Chen, Han Bao, Tate Shorthill, Carl R. Elks, Nam Dinh
2022	J	`jnl`	Systems-theoretic Hazard Analysis of Digital Human-System Interface Relevant to Reactor Trip. CoRR Edward Chen, Han Bao, Tate Shorthill, Hongbin Zhang, Nam Dinh
2021	J	`jnl`	Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System. CoRR Linyu Lin, Paridhi Athe, Pascal Rouxelin, Maria Avramova, Abhinav Gupta, Robert Youngblood, Nam Dinh
2021	J	`jnl`	Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review. CoRR Linyu Lin, Han Bao, Nam Dinh
2021	J	`jnl`	Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments. Reliab. Eng. Syst. Saf. Yang Liu, Dewei Wang, Xiaodong Sun, Yang Liu, Nam Dinh, Rui Hu
2020	J	`jnl`	Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data. CoRR Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang
2020	J	`jnl`	Enhancement of risk informed validation framework for external hazard scenario. Reliab. Eng. Syst. Saf. Saran Srikanth Bodda, Abhinav Gupta, Nam Dinh
2020	J	`jnl`	Predictive Capability Maturity Quantification using Bayesian Network. CoRR Linyu Lin, Nam Dinh
2020	J	`jnl`	Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation. CoRR Han Bao, Nam Dinh, Linyu Lin, Robert Youngblood, Jeffrey Lane, Hongbin Zhang
2019	J	`jnl`	Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning. CoRR Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang
2018	J	`jnl`	Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results. CoRR Yang Liu, Nam Dinh, Yohei Sato, Bojan Niceno
2018	J	`jnl`	Probabilistic risk assessment based model validation method using Bayesian network. Reliab. Eng. Syst. Saf. Shinyoung Kwag, Abhinav Gupta, Nam Dinh
2010	J	`jnl`	A reconstructed discontinuous Galerkin method for the compressible Navier-Stokes equations on arbitrary grids. J. Comput. Phys. Hong Luo, Luqing Luo, Robert R. Nourgaliev, Vincent Mousseau, Nam Dinh