CO Adsorption on Ionic Liquid—Modified Cu-BTC: Experimental and Simulation Study by F.W.M. da Silva, G.M. Magalhães, E.O. Jardim, J. Silvestre-Albero, A. Sepúlveda-Escribano, D.C.S. de Azevedo, S.M.P. de Lucena

“…Monte Carlo computations showed maximum impregnation load of approximately 30 wt% and improved CO 2 adsorption up to 2 bar for all the concentrations tested. …”
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Resolution dependence of vessel size index across various brain regions by DongKyu Lee, Yelim Gong, Abel Worku Tessema, SoHyun Han, Hyung Joon Cho

“…This study systematically investigates the spatial resolution dependence of VSI using Monte Carlo simulations and in vivo rat brain MRI experiments. …”
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Latitudinal Dependence of Cosmic Rays Modulation at 1 AU and Interplanetary Magnetic Field Polar Correction by P. Bobik, G. Boella, M. J. Boschini, C. Consolandi, S. Della Torre, M. Gervasi, D. Grandi, K. Kudela, S. Pensotti, P. G. Rancoita, D. Rozza, M. Tacconi

“…This variation, termed solar modulation, is described using a 2D (radius and colatitude) Monte Carlo approach for solving the Parker transport equation that includes diffusion, convection, magnetic drift, and adiabatic energy loss. …”
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POMA-C: A Framework for Solving the Problem of Precise Anesthesia Control Under Incomplete Observation Environment in Low-Income Areas by Yide Yu, Huijie Li, Dennis Wong, Anmin Hu, Jian Huo, Yan Ma, Yue Liu

“…The framework employs the POMCPOW (Partially Observable Monte Carlo Planning with Observation Weighting) algorithm, which integrates Monte Carlo Tree Search (MCTS) and particle filtering to estimate the patient’s true physiological state and guide optimal anesthetic decisions. …”
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Risk assessment of fine particulate matter exposure attributed to the presence of the cement industry by A. Mallongi, S. Stang, R.D.P. Astuti, A.U. Rauf, M.F. Natsir

“…However, the Monte Carlo Simulation to assess the health risk with the 95th percentile demonstrated that children and adults are at low risk for developing adverse health effects. …”
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Thermal Hydraulic and Neutronics Coupling Analysis for Plate Type Fuel in Nuclear Reactor Core by Linrong Ye, Mingjun Wang, Xin’an Wang, Jian Deng, Yan Xiang, Wenxi Tian, Suizheng Qiu, G. H. Su

“…The three-dimensional thermal hydraulic model and reactor core physics model were established using Fluent and Monte Carlo code for a typical plate type fuel assembly, respectively. …”
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Analysis of the Forward Kinematics and Workspace of 8-DOF Manipulator by Li Yawei, Huang Jinying

“…A study on the issue that the forward kinematics and workspace of a manipulator with 8--DOF is carried out.Firstly,according to the structural characteristics of the manipulator,the link coordinate system of manipulator are established by using D-H method,and its forward kinematics is obtained.Secondly,the simulation model of manipulator is set up by using the MATLAB Robotics Toolbox,and the correctness of the kinematics forward solution is testified.Finally,according to the position vector of the end actuator,the Monte Carlo method is applied to analyze the manipulator workspace,and the workspace range of the manipulator end actuator is acquired,and it is consistent with the design parameters of the manipulator.…”
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Confidence Intervals for the Coefficient of Variation in a Normal Distribution with a Known Population Mean by Wararit Panichkitkosolkul

“…The other proposed confidence intervals are the shortest-length confidence interval and the equal-tailed confidence interval. A Monte Carlo simulation study was conducted to compare the performance of the proposed confidence intervals with the existing confidence intervals. …”
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Analysis of Mistuned Dynamic Response of Tuned Flexible Mechanism by Yu Linchong

“…The tuned mechanism has mistuned dynamic response when significant flexibleness of components and high speed of mechanism are considered.In order to research mistuned responses,a virtual prototype model of tuned flexible mechanism is applied to simulate kinematics and dynamics.Dynamic responses are simulated in case of mistuned force and mistuned mass.The random parameter sampling data are computed by Monte Carlo method and stochastic response distribution is given by statistical analysis.The results showed that there are mistuned responses in periodical flexible mechanism.The mistuned responses are propagated in form of components vibration in flexible mechanism.The research has laid foundation on vibration localization features of mistuned mechanism.…”
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Research on the identification performance of UHF RFID system considering the correlation of cascaded channel by Kai SHE, Yigang HE, Bing LI, Yanqing ZHU

“…The identification rate of UHF RFID system was restricted by multipath propagation effects.The system identification performance was studied considering the correlation coefficient between forward and reverse channels.Based on the generalized Rician fading channel model,the analytical expression of identification rate was derived under independent,full correlation and correlation cases.Compared with the existing analysis,the proposed uniform calculation formula of identification rate was for any correlation coefficient and kinds of channel conditions.The numerical computation and Monte-carlo simulations show that the influences of different correlation coefficients,channel conditions,sensitivity and distance on the identification rate.…”
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Different Approaches to Estimation of the Gompertz Distribution under the Progressive Type-II Censoring Scheme by Kyeongjun Lee, Jung-In Seo

“…For evaluation and comparison, the Monte Carlo simulations are conducted, and real data are analyzed.…”
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The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency by Muteb Faraj Alharthi

“…The second is to assess the Martingale method by comparing its performance to that of Markov Chain Monte Carlo (MCMC) methods in terms of estimating this parameter and the infection and removal rate parameters given only removal data. …”
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Stochastic renormalization group and gradient flow by Andrea Carosso

“…The result implies a new approach to Monte Carlo RG that is amenable to lattice simulation. …”
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A New Bivariate Extended Generalized Inverted Kumaraswamy Weibull Distribution by Mahmoud Ragab, Ahmed Elhassanein

“…The performance of the maximum likelihood method is investigated via Monte Carlo simulation depending on the bias and the standard error. …”
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An Efficient TDOA-Based Localization Algorithm without Synchronization between Base Stations by Sangdeok Kim, Jong-Wha Chong

“…The localization performance of the proposed algorithm is verified with Monte-Carlo simulations.…”
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Variable Selection of High-Dimensional Spatial Autoregressive Panel Models with Fixed Effects by Miaojie Xia, Yuqi Zhang, Ruiqin Tian

“…Under some regular conditions, the consistency and oracle properties of the proposed estimator are established. Some Monte-Carlo experiments and a real data analysis are conducted to examine the finite sample performance of the proposed variable selection procedure, showing that the proposed variable selection method works satisfactorily.…”
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Mixed Portmanteau Test for Diagnostic Checking of Time Series Models by Sohail Chand, Shahid Kamal

“…We derived the asymptotic distribution of the mixture test and studied its size and power using Monte Carlo simulations.…”
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Wishart random matrix based Bayesian estimation for time-varying channel in the color noise by JING Yuan, YIN Fu-liang

“…A Bayesian estimation method for time-varying channel with the color noise was proposed.Based on random matrix theory and Gibbs sampling,the covariance matrix of the color noise and the channel parameters were firstly esti-mated.Then,the proposal distribution（or importance distribution） of the sequential monte carlo（SMC） sampler was modified to track the time-varying channel parameters blindly（with no pilot signals）.Therefore,the proposed method may online semi-blindly estimate the time-varying channel parameters in the background of color noise.Compared with existing approaches,which are based on Kalman filtering and particle filtering,the proposed method is more robust and more accurate while the color noise is considered.The simulation results show the effectiveness of the proposed method.…”
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The W/S Test for Data Having Neutrosophic Numbers: An Application to USA Village Population by Mohammed Albassam, Nasrullah Khan, Muhammad Aslam

“…The W/S test under neutrosophic statistics is proposed in this paper. The Monte Carlo simulation under the neutrosophic statistical interval method is proposed and applied to study the sensitivity of various neutrosophic statistical distributions. …”
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Znaczenie płatności bezpośrednich jako czynnika stabilizującego dochód rolniczy na przykładzie wybranych typów gospodarstw by Edward Majewski, Adam Wąs

“…Analizę przeprowadzono za pomocą symulacji metodą Monte Carlo z wykorzystaniem modelu symulacyjnego gospodarstwa. …”
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