Varying Collimation for Dark-Field Extraction by Ge Wang, Wenxiang Cong, Haiou Shen, Yu Zou

“…In the numerical experiments, the feasibility of our dark-field detection technology is demonstrated in Monte Carlo simulation. The results show that the acquired dark field signals can clearly reveal the structural information of tissues in terms of Rayleigh scattering characteristics.…”
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Rekonfiguracija distributivne mreže i otočna kompenzacija uz prisustvo vetro generatora by Branko Stojanović, Tomislav Rajić

“…Isto važi i za kondenzatorske baterije što je nerealistično. Monte Carlo grafičkom metodom biraju se najčešće posećeni čvorovi za permanentan rad vetro generatora i uključenje kondenzatorskih baterija. …”
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Confidence intervals for coefficient of variation of Delta-Birnbaum-Saunders distribution with application to wind speed data by Usanee Janthasuwan, Suparat Niwitpong, Sa-Aat Niwitpong

“…The performance of all these methods was compared using coverage probabilities and expected lengths through Monte Carlo simulations using the R statistical software, and various parameters were comprehensively specified. …”
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Optical Model of Laminated Remote Phosphor Films and Its Application in White LED by Yong-Hao Chen, Ning-Ze Zhuo, Peng Jiang, Shao-Wen Cheng, Peng-Fei Shen, Hai-Bo Wang

“…Based on Mie scattering and Monte Carlo ray tracing method, the transmission process of light in the remote phosphor film is described and the optical model of red and green laminated phosphor films is constructed. …”
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Adsorption on Heterogeneous Surfaces with Simple Topographies by P.M. Centres, F. Bulnes, J.L. Riccardo, A.J. Ramirez-Pastor, M.A. Perarnau

“…The localized monolayer adsorption of interacting particles onto heterogeneous surfaces has been studied through Monte Carlo simulation in the framework of the lattice–gas model. …”
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Stability Analysis and Confidence Level Evaluation of Backfill Mining under High and Steep Rock Slopes by Bo-yi Hu, Xin-min Wang, Shuai Li, Jian-wen Zhao, Nyandwe Musonda Eugénie

“…To extract the 6.3 million tons of high-quality phosphate resources, a stability analysis and confidence level evaluation of backfill mining under high and steep rock slopes (HSRS) were conducted using the Slide software and a Monte Carlo simulation. The geological model of HSRS was constructed based on a geotechnical investigation. …”
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A High-Speed and Low-Offset Dynamic Latch Comparator by Labonnah Farzana Rahman, Mamun Bin Ibne Reaz, Chia Chieu Yin, Mohammad Marufuzzaman, Mohammad Anisur Rahman

“…In addition, input-tracking phase is used to reduce the offset voltage. The Monte-Carlo simulation results for the designed comparator in 0.18 μm CMOS process show that the equivalent input-referred offset voltage is 720 μV with 3.44 mV standard deviation. …”
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Probabilistic Optimal Active and Reactive Power Dispatch including Load and Wind Uncertainties considering Correlation by Mahmmadsufiyan Shaik, Dattatraya N. Gaonkar, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Baseem Khan

“…The results are compared with Monte Carlo simulation (MCS). While solving POARPD, the voltage-dependent load model is used to account for the real-time voltage dependency of power system loads. …”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

“…In particular, we consider three datasets which include a Monte Carlo simulations-based synthetic dataset, and publicly available automotive factory (AF) and open area test site (OATS) datasets from National institute of standards and technology (NIST). …”
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New linearization and reweighting for simulations of string sigma-model on the lattice by L. Bianchi, V. Forini, B. Leder, P. Töpfer, E. Vescovi

“…A sign ambiguity remains, which a study of the fermionic spectrum shows to be related to Yukawa-like terms, including those present in the original Lagrangian before the linearization standard in a lattice QFT approach. Monte Carlo simulations are performed in a large region of the parameter space, where the sign problem starts becoming severe and instabilities appear due to the zero eigenvalues of the fermionic operator. …”
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Investigating Low Latency Communications With Link-Layer Rate of NOMA Under Nakagami-<italic>m</italic> Fading Channel in Finite Blocklength Regime by Muhammad Imran, Muhammad Amjad, Muhammad Khalil Afzal, Muhammad Usman, Byung-Seo Kim

“…The impact of varying packet sizes (blocklength) and transmit SNR on the total achievable EC of NOMA users are investigated in detail. We also perform Monte-Carlo simulations to validate our proposed closed-form expressions of two-user downlink NOMA.…”
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Research on Inertial Isolation Rotation Modulation of Dual-Axis Inertial Navigation Based on Multi-Error Coupling Characteristics by Bo Zhang, Changhua Hu, Silin Hou, Jianxun Zhang, Jianfei Zheng, Xuan Liu

“…Based on the attitude changes in long-range guided weapons, Monte Carlo simulation verification was conducted, and the results showed that this scheme can improve inertial navigation accuracy by 10% to 20%.…”
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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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Relative Age Effect in Junior Padel Players: Insights from National Team Selection at the 2024 Junior European Championships by Rafael Conde-Ripoll, Iván Martín-Miguel, Diego Muñoz, Carlo Ferrara, Bernardino J. Sánchez-Alcaraz, Adrián Escudero-Tena

“…Dates of birth were categorized into quartiles, and data analysis employed Chi-squared goodness-of-fit tests, Fisher’s exact goodness-of-fit tests, Chi-squared tests, Fisher’s exact tests with Monte Carlo correction (95% CI), and Spearman correlations. …”
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Unraveling the Kinematic and Morphological Evolution of the Small Magellanic Cloud by S. R. Dhanush, A. Subramaniam, S. Subramanian

“…This analysis is carried out using a robust Markov Chain Monte Carlo method, to derive up to seven kinematic parameters. …”
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An Overview of Composite Standard Elastic-Net Distribution Based on Complex Wavelet Coefficients by Tahani A. Aloafi, Hassan M. Aljohani

“…A simulated investigation is studied using the Markov Chain Monte Carlo (MCMC) tool to estimate the underlying features, where real data are involved and modelled using the proposed methods. …”
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Midcourse Guidance Law Based on High Target Acquisition Probability Considering Angular Constraint and Line-of-Sight Angle Rate Control by Xiao Liu, Shengjing Tang, Jie Guo, Yuhang Yun, Zhe Chen

“…This paper has presented a new midcourse guidance law considering the influences of random disturbances, detection distance restraint, and target acquisition probability with Monte Carlo simulation. Detailed analyses of the impact points on the ground and the random distribution of the target acquisition position in the 3D space are given to get the appropriate attitude angles and the end position for the midcourse guidance. …”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…The algorithm design and selection process adhere to recommendations from literature review articles, employing robust statistical techniques, including Bayesian analysis and Monte Carlo sampling to support the replicability of analysis. …”
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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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