Search Results - "Navon, Ionel Michael"

A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System by Navon, Ionel Michael, Liu, Zhengyu, Zhang, Shaoqing, Wu, Xinrong, Han, Guijun, Li, Wei

“…Coupling parameter estimation (CPE) that uses observations to estimate the parameters in a coupled model through error covariance between variables residing in…”
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Randomized dynamic mode decomposition for nonintrusive reduced order modelling by Bistrian, Diana Alina, Navon, Ionel Michael

“…Summary This paper focuses on a new framework for obtaining a nonintrusive (i.e., not requiring projecting of the governing equations onto the reduced basis…”
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A POD reduced-order model based on spectral Galerkin method for solving the space-fractional Gray–Scott model with error estimate by Abbaszadeh, Mostafa, Dehghan, Mehdi, Navon, Ionel Michael

“…This paper deals with developing a fast and robust numerical formulation to simulate a system of fractional PDEs. At the first stage, the time variable is…”
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A proper orthogonal decomposition variational multiscale meshless interpolating element‐free Galerkin method for incompressible magnetohydrodynamics flow by Abbaszadeh, Mostafa, Dehghan, Mehdi, Navon, Ionel Michael

“…Summary In the recent decade, the meshless methods have been handled for solving most of PDEs due to easiness of the meshless methods. One of the popular…”
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Assessing uncertainty and heterogeneity in machine learning-based spatiotemporal ozone prediction in Beijing-Tianjin- Hebei region in China by Cheng, Meiling, Fang, Fangxin, Navon, Ionel Michael, Zheng, Jie, Zhu, Jiang, Pain, Christopher

“…Accurate prediction of spatiotemporal ozone concentration is of great significance to effectively establish advanced early warning systems and regulate air…”
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A reduced order with data assimilation model: Theory and practice by Arcucci, Rossella, Xiao, Dunhui, Fang, Fangxin, Navon, Ionel Michael, Wu, Pin, Pain, Christopher C., Guo, Yi-Ke

“…Numerical simulations are extensively used as a predictive tool to better understand complex air flows and pollution transport on the scale of individual…”
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An indirect shooting method based on the POD/DEIM technique for distributed optimal control of the wave equation by Sabeh, Z., Shamsi, Mostafa, Navon, Ionel Michael

“…Summary This paper presents a fast numerical method, based on the indirect shooting method and Proper Orthogonal Decomposition (POD) technique, for solving…”
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A reduced-order finite volume element formulation based on POD method and numerical simulation for two-dimensional solute transport problems by Luo, Zhendong, Li, Hong, Sun, Ping, An, Jing, Navon, Ionel Michael

“…Proper orthogonal decomposition (POD) method has been successfully used in the reduced-order modeling of complex systems. In this paper, we extend the…”
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An ensemble method for sensor optimisation applied to falling liquid films by Che, Zhizhao, Fang, Fangxin, Percival, James, Pain, Christopher, Matar, Omar, Navon, Michael

“…•A systematic linkage between experiments and models is provided for falling films.•An ensemble method is used to optimise sensor locations for falling film…”
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Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet) by Cai, Shengjuan, Fang, Fangxin, Peuch, Vincent-Henri, Alexe, Mihai, Navon, Ionel Michael, Wang, Yanghua

“…PM2.5 forecasting is crucial for public health, air quality management, and policy development. Traditional physics-based models are computationally demanding…”
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Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning by Bistrian, Diana Alina, San, Omer, Navon, Ionel Michael

“…A digital twin is a surrogate model that has the main feature to mirror the original process behavior. Associating the dynamical process with a digital twin…”
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POD/DEIM Nonlinear model order reduction of an ADI implicit shallow water equations model by Stefanescu, Razvan, Navon, Ionel Michael

“…In the present paper we consider a 2-D shallow-water equations (SWE) model on a $\beta$-plane solved using an alternating direction fully implicit (ADI)…”
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POD/DEIM Reduced-Order Strategies for Efficient Four Dimensional Variational Data Assimilation by Ştefănescu, Răzvan, Sandu, Adrian, Navon, Ionel Michael

“…This work studies reduced order modeling (ROM) approaches to speed up the solution of variational data assimilation problems with large scale nonlinear…”
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Book reviews -- Applied Analysis of the Navier-Stokes Equations by Charles R. Doering and J. D. Gibbon by Navon, Ionel Michael

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Applied Analysis of the Navier–Stokes Equations by Navon, Ionel Michael

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