Optimizing Distribution Grid Performance through Electric Vehicle Integration and Stochastic Modeling in Extreme Weather Conditions by A. Niknami, M. Askari, M. Amirahmadi, M. Babaeinik

“…A key innovation of this research is the development of a comprehensive framework for simultaneously managing network topology reconfiguration, EV movement within the network, and mitigating the impacts of adverse weather conditions. Monte Carlo simulation is employed to model uncertainties, while a multi-objective optimization algorithm is used to solve the problem. …”
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Stochastic Simulation of Soot Formation Evolution in Counterflow Diffusion Flames by Xiao Jiang, Kun Zhou, Ming Xiao, Ke Sun, Yu Wang

“…Subsequently, the operator splitting Monte Carlo method is used to simulate the soot dynamics. …”
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What Is the Radiation Impact of Extreme Solar Energetic Particle Events on Mars? by Jian Zhang, Jingnan Guo, Mikhail I. Dobynde

“…The state‐of‐the‐art Atmospheric Radiation Interaction Simulator based on GEometry And Tracking Monte‐Carlo method has been employed for simulating particle interactions with the Martian atmosphere and terrain. …”
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Valuation of Guaranteed Unitized Participating Life Insurance under MEGB2 Distribution by Haitao Zheng, Junzhang Hao, Manying Bai, Zhengjun Zhang

“…The Least-Squares Monte Carlo simulation method is used to simulate the pricing model. …”
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Unveiling the effect of stress on vacancy diffusion isotropy at high temperature in Ni-Re Systems: Insights from atomic simulations by Shichao Du, Siyuan Lin, Wenyue Zhao, Yi Ru, Yanling Pei, Shusuo Li, Shengkai Gong

“…In this work, we comprehensively study the vacancy diffusion behavior in Ni-Re alloys at 1173 ∼ 1573 K under stress along [001] and [111], by using the Self-Evolving Atomistic Kinetic Monte Carlo (SEAKMC) method with interatomic potentials. …”
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Statistical analysis of stress–strength in a newly inverted Chen model from adaptive progressive type-Ⅱ censoring and modelling on light-emitting diodes and pump motors by Refah Alotaibi, Mazen Nassar, Zareen A. Khan, Ahmed Elshahhat

“…The Bayes estimates are obtained with the Markov Chain Monte Carlo sampling process leveraging the squared error and LINEX loss functions. …”
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Urban Flooding Model SWMM Parameter Sensitivity Analysis under Different Catchment Areas by HE Peiying, ZHENG Yanhui, HE Yanhu

“…Taking two regions with different catchment areas in Guangzhou as the research objects, the Monte Carlo Sobol index method was used to analyze the parameter sensitivity of different results (total runoff, peak flow, peak time) with different catchment areas. …”
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Impact of Randomized Soil Properties and Rock Motion Intensities on Ground Motion by Ayele Chala, Richard Ray

“…This study presents the influence of variability in shear wave velocity (Vs) and amplitude of input rock motion on seismic site response analysis. Monte Carlo simulations were employed to randomize the Vs profile for different scenarios. …”
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Comparison of blockchain vs. centralised IT infrastructure costs for food traceability: a Thai broiler supply chain case study by Suchit Pongnumkul, Patcharawadee Ittipornpaisarn, Suporn Pongnumkul

“…The Thai broiler supply chain provided data on IT infrastructure usage, with Monte Carlo simulation employed to address undisclosed supply chain data. …”
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Irreversible Adsorption of Particles on Surface Features of a Circular and Rectangular Shape by Zbigniew Adamczyk, Jakub Barbasz

“…Numerical simulation of the Monte Carlo type enabled the particle configurations to be determined, together with their density distribution (coverage) and the saturation coverage for various collectors to particle size ratio L̅ = L/2a and collector width to particle size ratio b̅ = b/2a. …”
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Generalized functional varying-index coefficient model for dynamic synergistic gene-environment interactions with binary longitudinal traits. by Jingyi Zhang, Honglang Wang, Yuehua Cui

“…A hypothesis testing procedure is proposed to evaluate the significance of the nonparametric index functions. Extensive Monte Carlo simulations are conducted to evaluate the performance of the method under finite samples. …”
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A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins by Thi-Duyen Nguyen, Duc Hai Nguyen, Hyun-Han Kwon, Deg-Hyo Bae

“…By utilizing an adaptive Markov chain Monte Carlo (MCMC) simulation method combined with three comprehensive uncertainty assessment measures, the developed framework focuses on evaluating the uncertainty inherent in RRMs. …”
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Comparison of tests for trend in location and scale parameters in hydrological and precipitation time series by Agnieszka Rutkowska, Silvia Kohnová

“…Material and methods: The study was based on the series of pseudo-numbers and on realizations of historical hydrological and precipitation time series. The Monte Carlo simulations and comparison of properties of the tests (AB, ST, M) that have not been studied yet in application to hydrological and precipitation series were conducted. …”
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X-ray spectrum estimation from the transmission method using the radioluminescence of an Al2O3:C crystal by Rui Chen, Qingxian Zhang, Jian Zhang, Liangquan Ge, Yi Gu, Rui Yang, Hui Li, Qiushi Liu, Zhiqiang Cheng, Yi Lin

“…The X-ray spectra are simulated with the Monte Carlo code Geant4. The EM method is successfully applied to seriously ill-conditioned and under determined estimation problems. …”
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Identifying Copy Number Variants under Selection in Geographically Structured Populations Based on -statistics by Hae-Hiang Song, Hae-Jin Hu, In-Hae Seok, Yeun-Jun Chung

“…A hierarchical Bayesian method, which is implemented via Markov Chain Monte Carlo, estimates locus-specific FST and can identify outlying CNVs loci with large values of FST. …”
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High Performance 3D PET Reconstruction Using Spherical Basis Functions on a Polar Grid by J. Cabello, J. E. Gillam, M. Rafecas

“…In this work, we have implemented the reconstruction algorithm using Graphical Processing Unit (GPU) technology for speed and a precomputed Monte-Carlo-calculated SRM for accuracy. The reconstruction time achieved using spherical basis functions on a GPU was 4.3 times faster than the Central Processing Unit (CPU) and 2.5 times faster than a CPU-multi-core parallel implementation using eight cores. …”
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Outage performance analysis of wireless powered railway Internet of things by Jiaxing MA, Ke XIONG, Yu ZHANG, Zhangdui ZHONG, Qiang NI

“…,the wireless energy collection was applied to railway scenes,providing sufficient and stable energy for the energy-constrained wireless equipment,thus solving the equipment supply problems in traditional railways.Considering that the source node and the relay node in the network were energy limited nodes,and the energy of the information transmission came from the radio frequency signal transmitted from the PB deployed on the train.The source node and the relay node collected energy from the PB,and the source node sent information to the relay node by using the collected energy,and then the relay node forwarded the information received to the destination node.The closed-form expressions of the network end-to-end outage probability and the throughput were derived.The analytical results were demonstrated by Monte Carlo simulation.And based on this analysis,the impact of the ratio of transmitting power of the PB to noise,the Rician K-factor,the time switching factor,transmission rate and relative position on the end-to-end outage probability and throughput were studied.When the train is in the middle of the source node and the relay node,the system can obtain better outage and throughput performance.…”
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Design of a Robust Coordinated Power Oscillation Damper for Use with Large-Scale Wind Energy System Connected to a Multimachine Power System by Paul Kabiru, Keren Kaberere, Stanley Kamau

“…Probabilistic analysis established on Monte Carlo simulation is then carried out to prove the robustness of the coordinated design strategy under diverse operating conditions. …”
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Fragility Comprehensive Assessment of Low-Rise Cold-Formed Steel Framed Wall Structure Subjected to Wind Load by Hao Zhang, Shiwei Hou, Yiming Ding, Chao Li, Pengfei Liu

“…For the cladding system, the probabilistic models of the wind load and the cladding component resistance are established based on Monte Carlo simulation, and then methods for the fragility assessment of single cladding components and the cladding system under wind hazards considering the influence of the number and arrangement of the cladding components are proposed. …”
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Random Characteristics of Hydraulic Gradient through Three-Dimensional Multilayer Embankment by Xiaoming Zhao, Yulong Niu, Dongbin Cui, Mingming Hu

“…Then, the mean and standard deviation of overflow point height and hydraulic gradient were calculated by the Monte Carlo method, which combined the generated three-dimensional random model and the deterministic analysis method of seepage field. …”
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