Results 11 to 20 of about 1,013 (219)
SENSITIVITY ANALYSIS OF IMAGE CLASSIFICATION MODELS USING GENERALIZED POLYNOMIAL CHAOS [PDF]
Integrating advanced communication protocols in production has accelerated the adoption of data-driven predictive quality methods, notably machine learning (ML) models. However, ML models in image classification often face significant uncertainties arising from model, data, and domain shifts.
Lukas Bahr +5 more
openalex +3 more sources
A Generalized Polynomial Chaos Based Ensemble Kalman Filter
, 2009 As one of the most adopted sequential data assimilation methods in many areas, especially those involving complex nonlinear dynamics, the ensemble Kalman filter (EnKF) has been under extensive investigation regarding its properties and efficiency. Compared to other variants of the Kalman filter (KF), EnKF is straightforward to implement, as it employs ...
Jia Li, Dongbin Xiu
openalex +3 more sources
Results in Physics, 2023 The paper mainly studies the traveling wave solutions, phase portrait and chaotic pattern of the generalized fractional stochastic Schrödinger equations forced by multiplicative Brownian motion. By using the polynomial complete discrimination method, the
Da Shi, Zhao Li, Tianyong Han
doaj +1 more source
Polynomials and General Degree-Based Topological Indices of Generalized Sierpinski Networks
Complexity, 2021 Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems.
Chengmei Fan +4 more
doaj +1 more source
Topics in Cognitive Science, EarlyView., 2023 Abstract Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation ...
Sebastian Wallot +5 more
wiley +1 more source
Computation of higher‐order moments of generalized polynomial chaos expansions [PDF]
International Journal for Numerical Methods in Engineering, 2017 SummaryBecause of the complexity of fluid flow solvers, non‐intrusive uncertainty quantification techniques have been developed in aerodynamic simulations in order to compute the quantities of interest required in an optimization process, for example. The objective function is commonly expressed in terms of moments of these quantities, such as the mean,
Savin, É., Faverjon, B.
openaire +4 more sources
Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows
International Journal of Aerospace Engineering, 2021 In the present work, supersonic flows over an axisymmetric base and a 24-deg compression ramp are investigated using the generalized k-ω (GEKO) model implemented in the commercial software, ANSYS FLUENT.
Yeong-Ki Jung +2 more
doaj +1 more source
An Efficient Polynomial Chaos Expansion Method for Uncertainty Quantification in Dynamic Systems
Applied Mechanics, 2021 Uncertainty is a common feature in first-principles models that are widely used in various engineering problems. Uncertainty quantification (UQ) has become an essential procedure to improve the accuracy and reliability of model predictions.
Jeongeun Son, Yuncheng Du
doaj +1 more source
Applied Sciences, 2021 Stability is a well-known challenge for rotating systems supported by hydrodynamic bearings (HDBs), particularly for the condition where the misalignment effect and the parametric uncertainty are considered.
Xiaodong Sun +2 more
doaj +1 more source
Robustness Analysis of the Collective Nonlinear Dynamics of a Periodic Coupled Pendulums Chain
Applied Sciences, 2017 Perfect structural periodicity is disturbed in presence of imperfections. The present paper is based on a realistic modeling of imperfections, using uncertainties, to investigate the robustness of the collective nonlinear dynamics of a periodic coupled ...
Khaoula Chikhaoui +3 more
doaj +1 more source