Showing 6,261 - 6,280 results of 6,958 for search '"Carlos ', query time: 0.20s Refine Results
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  4. 6264

    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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  5. 6265

    Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method by Mengyan Jiang, Yi Zhang, Yi Zhang

    Published 2021-01-01
    “…The robustness of the schedules was evaluated through Monte Carlo simulation. The results show that the trip start delay and battery energy shortage caused by the travel time uncertainty can be effectively reduced at the expense of an increase in the operational cost. …”
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  6. 6266

    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

    Published 2025-03-01
    “…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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  7. 6267

    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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  8. 6268

    Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems by Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel

    Published 2025-01-01
    “…Convolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. …”
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  9. 6269

    Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast-Furnace Slag and Fly Ash by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

    Published 2021-01-01
    “…Under the effect of random sampling strategies and the network structures selected, Monte Carlo simulations (MCS) are introduced to statistically investigate the convergence of results. …”
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  10. 6270

    ABÍLIO CÉZAR BORGES E A EDUCAÇÃO BRASILEIRA NO CONGRESSO PEDAGÓGICO INTERNACIONAL DE BUENOS AIRES (1882) by Laís Paula de Medeiros Campos Azevedo, Maria Inês Sucupira Stamatto, Olívia Morais Medeiros Neta

    Published 2022-01-01
    “…Com base no método indiciário de Carlo Ginzburg, recorremos, principalmente, a fontes hemerográficas coletadas em repositórios digitais brasileiros e argentinos. …”
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  11. 6271

    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. 6272

    Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating by Hsin-Fu Yeh, Tsien-Ting Huang, Ya-Sin Yang, Chien-Chung Ke

    Published 2021-01-01
    “…Subsequently, a Markov Chain Monte Carlo (MCMC) method was used to generate random samples, and the uncertainty of the parameters was analyzed. …”
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  13. 6273

    An Effect Study of Structural Jets on the Long Gamma-Ray Burst Formation Rate at Low Redshift by Qi Guo, Qi Tan, Benyun Shi

    Published 2025-01-01
    “…After correcting for the redshift evolution, the luminosity function can be expressed as $\psi ({L}_{0})\propto {L}_{0}^{-0.17\pm 0.01}$ for dim LGRBs and $\psi ({L}_{0})\propto {L}_{0}^{-1.36\pm 0.05}$ for bright LGRBs, and the formation rate at z < 1 shows an increase. Then we use Monte Carlo simulations to create pseudo-GRBs with structured jets and calculate the formation rates assuming that the actual LGRB formation rate at low redshift is proportional to the SRF. …”
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  14. 6274

    Thermofluids analysis of four novel anchor-shaped turbulator and eco-friendly nanofluid (GAGNPs /H2O) in a parabolic trough solar collector: A CFD modeling approach by M. Gholinia, A.H. Ghobadi, E. Shahcheraghi, M. Armin

    Published 2025-01-01
    “…The solar heat flux (SHF) in the environment is calculated using the Monte Carlo Radiation Transfer Method (MCRT) with C++ code. …”
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  15. 6275

    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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  16. 6276

    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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  17. 6277

    Estimation of Urban Link Travel Time Distribution Using Markov Chains and Bayesian Approaches by Wenwen Qin, Meiping Yun

    Published 2018-01-01
    “…Finally, the current link TTD can be reconstructed by a generic Markov Chain Monte Carlo algorithm incorporating high weighted particles. …”
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  18. 6278

    New Method of Tooth Pitch Deviation Measurement based on Laser Tracker for Mega Spur Gear by Zhang Bai, Lin Jiachun

    Published 2019-01-01
    “…Finally, the uncertainties of system measurement of different measurement model are simulated and analyzed by the Monte Carlo method. The experimental results show that the method for measuring the pitch of mega spur gears based on laser tracker meets the single pitch deviation measurement requirements of 8-grade mega spur gears with diameter of more than 6 meters, and meets the total cumulative pitch deviation measurement requirements of 10-grade mega gears with diameter of more than 6 meters.…”
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  19. 6279

    Investigation of Benzoic Acid Adsorption on to ODTMA-Bentonite by Response Surface Optimization by H. Kapucu, N. Yildiz, R. Gönülşen, A. Ç Çalimli

    Published 2002-10-01
    “…A 2 4 full factorial central composite experimental design followed by multi-stage Monte-Carlo optimization was used in designing the experiments and analyzing the results. …”
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  20. 6280

    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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