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Quantifying Uncertainty in Hydrological Drought Index Using Calibrated SWAT Model
The hydrological model requires precise parameter calibration to reflect the basin characteristicsproperly. The optimum parameter values depend...
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Uncertainty Based Assessment of Drought Using Standardized Precipitation Index-A Case Study
Drought is a recurrent extreme hydrological event occurring almost every year in Bangladesh. Particularly, the northwest region of the country has...
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A deep learning-based conditional system health index method to reduce the uncertainty of remaining useful life prediction
Many recent data-driven studies have used sensor profile data for prognostics and health management (PHM). However, existing data-driven PHM...
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Design optimization of external engagement cylindrical gear flowmeter under uncertainty
The purpose of this study is to determine the reasonable structural parameters of the external engagement cylindrical gear flowmeter (EGF) under the...
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Uncertainty Estimation
Estimating uncertainty is an important part of hydrological data modeling. They offer a measure of confidence in model predictions and aid in...
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An Uncertainty Estimation Model for Algorithmic Trading Agent
We present an uncertainty estimation model for algorithmic trading agents in financial markets. These agents utilise deep learning to analyse market...
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Importance sampling-based algorithms for efficiently estimating failure chance index under two-fold random uncertainty
Under condition of two-fold random uncertainty, a key for evaluating failure chance index (FCI) of structure system is estimating failure probability...
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Time-dependent reliability of structures under consideration of epistemic uncertainty
Time-dependent reliability (TDR) is the possibility that a structure under consideration can perform the intended function under specified service...
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Quantifying numerical uncertainty in background-oriented schlieren
Our study presents and evaluates a method for computing the numerical uncertainty in background-oriented schlieren (BOS). We use Richardson...
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A surrogate model for uncertainty quantification and global sensitivity analysis of nonlinear large-scale dome structures
Full-scale dome structures intrinsically have numerous sources of irreducible aleatoric uncertainties. A large-scale numerical simulation of the dome...
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Uncertainty Quantification in Impulse Thruster Performance Using Polynomial Chaos Expansion
Due to its short operating time and precise attitude control, the miniature impulse thruster has significant application prospects in certain...
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Air Traffic Management with Hierarchical Hexagonal Geospatial Index
Nowadays global spatial indexes provide reach features for geographic data analysis. A variety of standards of spatial indexes with global coverage...
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Driving Environment Uncertainty-Aware Motion Planning for Autonomous Vehicles
Autonomous vehicles require safe motion planning in uncertain environments, which are largely caused by surrounding vehicles. In this paper, a...
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Sparse Polynomial Chaotic Expansion for Uncertainty Analysis of Tunnel Stability
Uncertainty is an intrinsic property of rock engineering because of the complicated geology conditions, rock failure mechanism ambiguity, and the...
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Control of Nonlinear Systems with Uncertainty
In this chapter, we consider nonlinear systems with time-varying uncertain variables and present robust inverse optimal controller designs that...
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A robust-based fatigue optimization method for systems subject to uncertainty
A robust design method based on fatigue for stochastic problems is proposed. In most cases, fatigue analyses of structures are performed by assuming...
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Uncertainty analysis for design of a graphene resonant gyroscope
With considerably small structure and ultrahigh sensitivity, the graphene resonant gyroscope has been widely used in aviation, aerospace and deep-sea...
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Spatial Indexing of Airplane Trajectory with Open Location Code and Hexagonal Hierarchical Index
Methods of vehicle navigation have been develo** rapidly throughout the long history of aviation. Positioning is an important component of airplane...
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Adaptive cloudiness index for enhanced photovoltaic energy prediction and management in low-income smart homes using geographic information system
Solar-powered homes can be an optimal solution for the lack of continuous power sources problem in initial low-income communities. However, the...
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A general methodology for simulation model validation and model updating of the coordination mechanism with uncertainty
In order to improve the accuracy and credibility of the dynamic simulation model of the coordination mechanism, a general simulation model validation...