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Improved Monte Carlo techniques for distributed generation impact evaluation
The integration of emerging technologies associated with renewable sources of electrical energy introduces new uncertainties into the operation and...
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Enhanced resampling scheme for Monte Carlo localization
The indoor positioning problem is a critical research domain essential for real-time control of mobile robots. Within this field, Monte Carlo-based...
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Recognizing good variational quantum circuits with Monte Carlo Tree Search
Many investigators have recently turned to the study of quantum architecture search since it is laborious to manually design a high-performing...
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Transient Monte Carlo simulation of phonon transport in silicon nanofilms with the local heat source
Accurate prediction of junction temperature is crucial for the efficient thermal design of silicon nano-devices. In nano-scale semiconductor devices,...
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A comprehensive probabilistic prediction and Monte-Carlo simulation of the flexural strength of hybrid graphene oxide/carbon nanotube cementitious nanocomposite
Using the Kelly-Tyson theory, a probabilistic model is proposed to predict the flexural strength of hybrid cement composite reinforced by graphene...
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Monte Carlo Optimisation for Conflict Resolution in Air Traffic Control
The safety of the flights, and in particular separation assurance, is one of the main tasks of Air Traffic Control. Conflict resolution refers to the...
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An efficient Monte Carlo simulation for new uncertain Heston–CIR hybrid model
In this paper, we consider two new stock models in which their differential equations are modeled by Liu process in uncertain environment. Firstly,...
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Monte Carlo Simulation Method for Dynamic Response of Marine Structures
Having obtained the added mass of an offshore structure as well as the dam**, restoring forces and external excitations on the offshore structure,...
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Analytical-geometrical percolation network model for piezoresistivity of hybrid CNT–CB polymer nanocomposites using Monte Carlo simulations
A 3D Monte Carlo simulation and percolation network model for hybrid nanocomposites reinforced by carbon nanotubes (CNTs) and carbon black (CB)...
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An Enhanced Adaptive Monte Carlo Localization for Service Robots in Dynamic and Featureless Environments
The Adaptive Monte Carlo Localization (AMCL) is a common technique for mobile robot localization problem. However, AMCL performs poorly on...
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Numerical investigation of the photo-thermal characteristics of a direct absorption solar collector using Monte Carlo and finite volume methods
In this study, a novel model of photothermal conversion in a direct absorption solar collector based on the Monte Carlo and finite volume methods was...
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A Review of Stochastic Analysis of the Seepage Through Earth Dams with a Focus on the Application of Monte Carlo Simulation
The purpose of this paper is a comprehensive literature review of different aspects of seepage analysis of earth-fill and rock-fill dams, emphasizing...
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Application of Dual-Source Modal Dispersion and Variational Bayesian Monte Carlo Method for Local Geoacoustic Inversion in Weakly Range-Dependent Shallow Water
Most of the continental shelf area is a weakly range-dependent shallow-water environment. Compared with range-independent Bayesian geoacoustic...
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The Neumann–Monte Carlo methodology applied to the quantification of uncertainty in the problem stochastic bending of the Levinson–Bickford beam
This paper proposes to apply the Neumann–Monte Carlo method to obtain the estimates of the statistical moments of the solution for the stochastic...
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Monte Carlo Method and Quantile Regression for Uncertainty Analysis of Wind Power Forecasting Based on Chaos-LS-SVM
In the paper, the chaos least squares support vector machine algorithm (Chaos-LS-SVM) is applied. To conduct uncertainty analysis of wind power...
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Stochastic analysis for bending capacity of precast prestressed concrete bridge piers using Monte-Carlo simulation and gradient boosted regression trees algorithm
The use of precast prestressed concrete bridge piers is rapidly evolving and widely applied. Nevertheless, the probabilistic behavior of the bending...
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Monte Carlo study of carrier transport in two-dimensional transition metal dichalcogenides: high-field characteristics and MOSFET simulation
Field-effect transistors (FETs) having two-dimensional (2D) materials as the channel offer superior gate control and decreased short-channel effects...
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Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks
Quantum annealing is a practical approach to approximately implement the adiabatic quantum computational model in a real-world setting. The goal of...
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A hybrid meshless–statistical energy analysis method for complex structure vibration analysis
A new hybrid deterministic–statistical energy analysis (SEA) formulation is presented by introducing a meshless method for modeling the deterministic...
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Reliability estimation for inverse Pareto lifetime model based on unified hybrid censored data
Censoring plays an important role in the reliability and life testing trials due to its cost optimality and time reduction properties. The unified...