Fluence-to-dose conversion coefficients in a voxel rat model for external neutron irradiation by Xiaomin Zhang, Xu Xu, Yong Yuan, Jing Ning, Dawei Li, Yunlong Ji

“…Fluence-to-dose conversion coefficients based on a developed rat model have been calculated for neutrons with energies <20 MeV using Monte Carlo N-particle code (MCNP), for the purpose of neutron radiation effect evaluation. …”
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ADeFS: A Deep Forest Regression-Based Model to Enhance the Performance Based on LASSO and Elastic Net by Zari Farhadi, Mohammad-Reza Feizi-Derakhshi, Israa Khalaf Salman Al-Tameemi, Wonjoon Kim

“…The proposed model is evaluated by Monte Carlo simulation and three real datasets. Findings demonstrate the superior performance of the proposed ADeFS-EN model over both gcforest and RF, as well as the combination of RF with shrinkage techniques.…”
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Application of Probabilistic and Nonprobabilistic Hybrid Reliability Analysis Based on Dynamic Substructural Extremum Response Surface Decoupling Method for a Blisk of the Aeroengi... by Bin Bai, Wei Zhang, Botong Li, Chao Li, Guangchen Bai

“…Tuned and mistuned blisks are studied in a complicated environment, and the results are compared with the Monte Carlo method (MCM) and the multilevel nested algorithm (MLNA) to verify that the hybrid model can better handle reliability problems concurrently containing random variables and interval variables; meanwhile, it manifests that the computational efficiency of this method is superior and more reasonable for analysing and designing a mistuned blisk. …”
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Reliability Estimation of Parameters of Helical Wind Turbine with Vertical Axis by Adela-Eliza Dumitrascu, Badea Lepadatescu, Dorin-Ion Dumitrascu, Anisor Nedelcu, Doina Valentina Ciobanu

“…To estimate the produced energy by the wind turbine, an evaluation approach based on the Monte Carlo simulation model is developed which enables us to estimate the probability of minimum and maximum parameters. …”
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Assessment of soil classification based on cone penetration test data for Kaifeng area using optimized support vector machine by Hanliang Bian, Zhongxun Sun, Jiahan Bian, Zhaowei Qu, Jianwei Zhang, Xiangchun Xu

“…Moreover, the models were thoroughly evaluated using Monte Carlo simulations, confusion matrices, ROC curves, and 10 key performance metrics. …”
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Evaluation of Failure Probability in Series System of Three-Axle Trucks under Strong Crosswind by Yahui Hu, Yingshi Guo, Rui Fu, Qingjin Xu

“…The model is used to obtain the dynamic response of the three-axle truck under strong crosswind conditions as per the time-varying curves of the vertical load of the truck, the time-varying curves of the lateral displacement of the center of mass, and the time-varying curves of the heading angle. An advanced Monte Carlo simulation algorithm based on importance sampling is used to determine the probability of a three-axle truck with FPSS under strong crosswinds; the given acceptable probability of failure (accident) is used to obtain the critical safety speed. …”
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A Covert &#x03B1;-Stable Noise-Based Extended Random Communication by Incorporating Multiple Inverse Systems by Areeb Ahmed, Zoran Bosnic

“…By spreading the tasks of encoding and decoding across various inverse systems, the suggested approach raises the difficulty level for eavesdroppers in retrieving the hidden stream of a binary message without the knowledge of ERCS parameters that are pre-shared solely between the intended receiver and transmitter. The results from Monte Carlo simulations show that deploying the proposed ERCS not only leads to better Bit Error Rate (BER) performance but also provides increased covertness values, which proves the design&#x2019;s ability to enhance performance and security compared to earlier models. …”
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Modeling the Magnetic Connection from Earth to Solar Corona during the May 11 Geomagnetic Superstorm by Alessandro Ippolito, Tommaso Alberti, Fabio Giannattasio

“…This study aims at improving our understanding of the magnetic connectivity between Earth and the solar corona by reconstructing the magnetic footpoint of the Earth on the solar surface during this geomagnetic superstorm. A Monte Carlo simulation was applied to model the random walk of interplanetary magnetic field lines due to low-frequency turbulence in the solar wind. …”
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Impact of Chocolate Cadmium on Vulnerable Populations in Serbia by Aleksandra Nešić, Milica Lučić, Jelena Vesković, Ljiljana Janković Mandić, Milan Momčilović, Andrijana Miletić, Antonije Onjia

“…On the other hand, based on CR values, all chocolate products can be classified as posing a moderate risk. The Monte Carlo simulation indicated that toddlers and other children were more exposed to non-carcinogenic risk, whereas vegetarians, adults, pregnant women, and other children were more exposed to cancer risk. …”
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Enhancing Mixed Traffic Flow Safety via Connected and Autonomous Vehicle Trajectory Planning with a Reinforcement Learning Approach by Yanqiu Cheng, Chenxi Chen, Xianbiao Hu, Kuanmin Chen, Qing Tang, Yang Song

“…This study presents a reinforcement learning modeling approach, named Monte Carlo tree search-based autonomous vehicle safety algorithm, or MCTS-AVS, to optimize the safety of mixed traffic flow, on a one-lane roadway with signalized intersection control. …”
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Multiple Gamma-Ray Detection Capability of a CeBr3 Detector for Gamma Spectroscopy by A. A. Naqvi, F. Z. Khiari, F. A. Liadi, Khateeb ur-Rehman, M. Raashid, A. A. Isab

“…The experimental results are in good agreement with Monte Carlo calculations. The study has shown excellent detection capabilities of the CeBr3 detector for eight prompt gamma rays over 517–8578 keV energy range without significant background interference.…”
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Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics by Xiaolong Chen, Ruijie Wang, Dan Yang, Jiajun Xian, Qing Li

“…First of all, we study the coupled disease-awareness dynamics in complex networks with fixed degree heterogeneity. Through extensive Monte Carlo simulations, we find that overall the self-awareness inhibits the spread of disease. …”
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Finite-Element-Based Time-Dependent Service Life Prediction for Carbonated Reinforced Concrete Aqueducts by Lan Zhang, Ri-Sheng He, Long-Wen Zhang, Yan-Ye Chen

“…Furthermore, the comparison with Monte Carlo simulation (MCS) results validates the high efficiency and accuracy of the proposed method, offering a valuable tool for addressing the reliability challenges of aqueducts exposed to carbonation and other environmental factors over time.…”
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The Feasibility of Societal Cost Equivalence between Robotic Hysterectomy and Alternate Hysterectomy Methods for Endometrial Cancer by Neel T. Shah, Kelly N. Wright, Gudrun M. Jonsdottir, Selena Jorgensen, Jon I. Einarsson, Michael G. Muto

“…Sensitivity analysis and Monte Carlo simulation were performed using a cost-minimization model. …”
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Study of an ADS Loaded with Thorium and Reprocessed Fuel by Graiciany de Paula Barros, Claubia Pereira, Maria A. F. Veloso, Antonella L. Costa

“…In this paper was used the Monte Carlo code MCNPX 2.6.0 that presents the depletion/burnup capability, combining an ADS source and kcode-mode (for criticality calculations). …”
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Optimal Scheduling of Microgrids Based on an Improved Dung Beetle Optimization Algorithm by Yuntao Yue, Haoran Ren, Dong Liu, Lenian Zhang

“…The modeling demand response is determined via a price–demand elasticity matrix, whereas the uncertainty of wind and solar power is established using Monte Carlo sampling and a K-means clustering algorithm. …”
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Accuracy and Uncertainty Analysis of PSBT Benchmark Exercises Using a Subchannel Code MATRA by Dae-Hyun Hwang, Seong-Jin Kim, Kyong-Won Seo, Hyuk Kwon

“…The DNBR prediction uncertainties for various DNB models were evaluated from a Monte-Carlo simulation for a selected steady-state condition.…”
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Neural Density Functional Theory of Liquid-Gas Phase Coexistence by Florian Sammüller, Matthias Schmidt, Robert Evans

“…Local learning of the one-body direct correlation functional is based on Monte Carlo simulations of inhomogeneous systems with randomized thermodynamic conditions, randomized planar shapes of the external potential, and randomized box sizes. …”
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Cost–effectiveness of cetuximab combined with radiotherapy versus radiotherapy alone in locally advanced head and neck cancer in Spain by Ruth Alvarez Cabellos, Jon Cacicedo, Susana Redondo Capafons, Heidi De los Santos Real, Miriam Brines Julian, Dario Rubio-Rodriguez, Carlos Rubio-Terres

“…Methods: A probabilistic Markov model (second-order Monte Carlo simulation) with a five-year time horizon and quarterly Markov cycles was performed from the perspective of the Spanish National Health System (NHS). …”

A hydropower plant scheduling model considering the stochastic correlation between runoff and electricity prices by WU Ying, WANG Juefei, LI Junjie, WANG Kun, SHEN Yan, WU Yingjun

“…Second， the least-squares cross validation （LSCV） is applied to determine the optimal bandwidth parameter in kernel density estimation （KDE）， ensuring a good fit for discrete runoff and electricity price data. Next， a Copula-Monte Carlo simulation method is used to model the joint risks of runoff and electricity prices， with Latin hypercube sampling （LHS） employed to enhance computational precision. …”
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