Showing 901 - 920 results of 1,062 for search '"Monte Carlo"', query time: 0.09s Refine Results
  1. 901

    Probabilistic Power Flow Analysis of DERs Integrated Power System From a Bayesian Parameter Estimation Perspective by Wanjoli, Paul, Moustafa, Mohamed M.Zakaria, Abbasy, Nabil H.

    Published 2025
    “…Simulation results demonstrate superior accuracy of BPE, yielding voltage profiles and congestion indices closely matching those of Monte Carlo Simulation (MCS) but with lower computation time. …”
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    Article
  2. 902

    A new combined analytical–numerical probabilistic method for assessing the impact of DERs on the voltage stability of bulk power systems by Wanjoli, Paul, Moustafa, Mohamed M. Zakaria, Abbasy, Nabil H.

    Published 2025
    “…The proposed method outperforms the Monte Carlo simulation (MCS)-based method in accuracy and computational speed, increasing DERs penetration and voltage stability limits by 3%. …”
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    Article
  3. 903

    Modeling the Lunar Radiation Environment: A Comparison Among FLUKA, Geant4, HETC‐HEDS, MCNP6, and PHITS by F. A. Zaman, L. W. Townsend, W. C. deWet, M. D. Looper, J. M. Brittingham, N. T. Burahmah, H. E. Spence, N. A. Schwadron, S. S. Smith

    Published 2022-08-01
    “…In this work, we use five such radiation transport codes (FLUctuating KAscade, GEometry ANd Tracking, High‐Energy Transport Code‐Human Exploration and Development in Space, Monte Carlo N‐Particle, and Particle and Heavy Ion Transport code System) to study the radiation environment near the Moon, specifically the lunar “albedo” radiation, which is the radiation emitted by the lunar surface through interactions with incident galactic cosmic rays and solar energetic particles. …”
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  4. 904

    Digital Image Correlation and Reliability-Based Methods for the Design of Structural Beams Made from Recycled Concrete Using Aggregates from Precast Rejects by Jorge López-Rebollo, Evelio Teijón-López-Zuazo, Roberto García-Martin, Luis Javier Sánchez-Aparicio, Diego González-Aguilera

    Published 2025-01-01
    “…This approach uses analytical theoretical models and a Monte Carlo-based simulation strategy that allows the prediction of the behaviour of the beams. …”
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    Article
  5. 905

    Insight into Anticorrosion Mechanism of Ampicillin on Mild Steel in Acidic Environment: A Combined Experimental and Theoretical Approach by Tuan Dinh, Nguyen Minh Thong, Dinh Quy Huong, Trinh Le Huyen, Tran Duc Manh, Phan Tu Quy, Tran Xuan Mau, Pham Cam Nam

    Published 2021-01-01
    “…Some important chemical factors such as EHOMO (highest occupied molecular orbital energy), ELUMO (lowest unoccupied molecular orbital energy), ΔEL−H (energy gap), and Fukui functions were calculated based on the optimized configuration of AMP at the theoretical level of B3LYP/6-31+G(d,p). Moreover, Monte Carlo and molecular dynamics simulations were used to analyze the absorption behavior of inhibitor on the surface of Fe(110), which supplies the mechanism of inhibition corrosion processes. …”
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  6. 906

    A novel stereographic semi-circular distribution and enhanced analysis of the posterior corneal curvature of eye by Shakila Bashir, Bushra Masood, Aamir Sanaullah, Laila A. Al-Essa

    Published 2025-01-01
    “…Five estimation techniques assess the distribution's parameters. Monte Carlo simulations evaluate parameter estimation methods for different sample sizes. …”
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    Article
  7. 907

    Methane Extraction and Resource Utilization Based on Multisource Data Fusion by Wensheng Chen, Zhongliang Lu

    Published 2022-01-01
    “…For this consideration, supported by the surface assimilation figure of qualifier-enclose char, the magnificent orthodox whole Monte Carlo (GCMC) manner was interesting to ponder the elution conduct of CH4 in the wind-confine charcoal configuration after the farding bag of N2/CO2 under distinct enema stamp. …”
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    Article
  8. 908

    Uniform Quantization for Multi-Antenna Amplify–Quantize–Forward Relay by Gangsan Jeong, Xianglan Jin

    Published 2025-01-01
    “…Furthermore, we propose a USL method with Monte Carlo (USL-MC), leveraging an approximated loss function to address the heightened complexity observed in multi-antenna systems. …”
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    Article
  9. 909

    Short Blocklength Nonbinary Raptor-Like LDPC Coding Systems Design and Simulation by Jakub Hyla, Wojciech Sulek

    Published 2025-01-01
    “…The proposed method is based on the graph optimization of the HR code and Monte Carlo simulation-supported placement of additional NB parity checks in the IR graph. …”
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    Article
  10. 910

    Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control by Shidong Liang, Minghui Ma, Shengxue He

    Published 2019-01-01
    “…The objective was to minimize the total cost for the passengers and the bus company in the system, and a Monte Carlo simulation based solution method was subsequently designed to solve the optimization model. …”
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    Article
  11. 911

    A Time-Varying Coupling Analysis of Expressway Traffic Volume and Manufacturing PMI by Shuo Sun, Mingchen Gu, Yingping Wang, Rongjie Lin, Lifeng Xing, Zhiyuan Xu

    Published 2021-01-01
    “…The time-varying parameters of TVP-VAR are estimated using the Markov chain Monte Carlo (MCMC) theory. Finally, the model is validated using examples from China. …”
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  12. 912

    A comparative analysis of L-moments, maximum likelihood, and maximum product of spacing methods for the four-parameter kappa distribution in extreme value analysis by Muhammad Shafeeq ul Rehman Khan, Zamir Hussain, Sadaf Sher, Muhammad Amjad, Faisal Baig, Ishfaq Ahmad, Hamd Ullah

    Published 2025-01-01
    “…Abstract The study has investigated the implications of three estimation methods, namely L-moments, Maximum Likelihood, and Maximum Product of Spacing (MPS), for fitting the four-parameter Kappa Distribution (KAPD) in extreme value analysis using Monte Carlo simulations. The accuracy of the estimates has been evaluated using root mean square error (RMSE) and bias. …”
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    Article
  13. 913

    Research on Organic Nanopore Adsorption Mechanism and Influencing Factors of Shale Oil Reservoirs by Yanfeng He, Guodong Qi, Xiangji Dou, Run Duan, Nan Pan, Luyao Guo, Zhengwu Tao

    Published 2021-01-01
    “…The quantity and heat of adsorption are simulated with the Monte Carlo method, which has been used in previous studies for single-or two-component fluids. …”
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  14. 914

    Molecular simulation study of CO2 and O2 adsorption characteristics and diffusion pattern in coal body at atmospheric pressure by JIA Tinggui, WU Xingyu, QU Guona

    Published 2024-12-01
    “…In order to investigate the adsorption characteristics and diffusion law of CO2 and O2 in coal, the adsorption and diffusion processes of CO2 and O2 in coal at different molar ratios, temperatures and pressures were simulated using the grand canonical system Monte Carlo and molecular dynamics methods. The findings indicated that: ① CO2 was distributed in clustered aggregation and O2 was distributed in point-like dispersion in coal. …”
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  15. 915

    Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

    Published 2022-01-01
    “…The predominant method for quantifying uncertainty was Monte Carlo dropout, producing predictions from multiple networks for which different neurons have dropped out and measuring variance across the distribution of resulting predictions. …”
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    Article
  16. 916

    Probabilistic assessment of the cumulative risk from dietary heavy metal exposure in Chongqing, China using a hazard-driven approach by Jiahui Chen, Jingrong Chen, Mintao Li, Ping Feng, Mei Qin, Ting Chen, Shuquan Luo, Jian Zhao, Xiaofeng Yan, Jinyao Chen, Xuemei Lian, Huadong Zhang, Jiao Huo

    Published 2025-01-01
    “…The cumulative risk was calculated and evaluated using Monte Carlo modeling and the modified Reference Point Index (mRPI) method. …”
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    Article
  17. 917

    Construction of molecular structure model of bituminous coal and study on adsorption characteristics of C2H4 and C2H2 by Ji Wu, Zongxiang Li, Shuoran Huang, Cong Ding

    Published 2025-01-01
    “…The macromolecular structure model of coal was established and optimized by simulation, and the gas adsorption process was simulated by means of grand canonical Monte Carlo method. The adsorption quantities and adsorption sites of single component and binary component gases C2H4 and C2H2 in coal under different temperatures and pressures were analyzed. …”
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  18. 918

    An Effective Robust Total Least-Squares Solution Based on “Total Residuals” for Seafloor Geodetic Control Point Positioning by Zhipeng Lv, Guorui Xiao

    Published 2025-01-01
    “…To evaluate the statistical performance of the proposed RTLS estimator for GNSS/A underwater positioning, Monte Carlo simulation experiments are performed with different depth and error configurations under the emulational marine environment. …”
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  19. 919

    Impact of Strain on Sub-3 nm Gate-All-Around CMOS Logic Circuit Performance Using a Neural Compact Modeling Approach by Ji Hwan Lee, Kihwan Kim, Kyungjin Rim, Soogine Chong, Hyunbo Cho, Saeroonter Oh

    Published 2024-01-01
    “…The transport models were calibrated against advanced Monte Carlo simulations to ensure accuracy. The resulting neural compact model demonstrated a close approximation to the original simulation results, achieving a minimal error of 1%. …”
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  20. 920

    Assets performance evaluation with the use of returns distribution characteristics by Seyedeh Masoumeh Mirsadeghpour Zoghi, Masoud Sanei, Ghasem Tohidi, Shokoofeh Banihashemi, Navideh Modarresi

    Published 2023-09-01
    “…As the returns on stock are VG distributed, its parameters are simulated by the method of moments estimation, and then the process factors are simulated by the Monte Carlo technique. Finally, the scenarios of returns are obtained, and the assets performance is evaluated.Findings: The correctness of the model is investigated by evaluating the relative efficiency of 7 companies from different industries in Iran Stock market. …”
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    Article