Bayesian inference for the parameters of the generalized logistic distribution under a combined framework of generalized type-I and type-II hybrid censoring schemes with applicatio... by Mustafa M. Hasaballah, Oluwafemi Samson Balogun, M. E. Bakr

“…Key objectives include the development of maximum likelihood estimators and asymptotic confidence intervals, alongside Bayesian estimation techniques using Markov chain Monte Carlo methods. These advancements facilitate the computation of credible intervals under various loss functions, thereby improving estimation efficiency. …”
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Spatial confinement affects the heterogeneity and interactions between shoaling fish by Gabriel Kuntz, Junxiang Huang, Mitchell Rask, Alex Lindgren-Ruby, Jacob Y. Shinsato, Dapeng Bi, A. Pasha Tabatabai

“…Furthermore, we utilize Monte Carlo simulations to replicate the experimentally observed data which provides insight into the effective interactions between fish and confirms the presence of a confinement-based behavioral preference transition. …”
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Beating 1 Sievert: Optimal Radiation Shielding of Astronauts on a Mission to Mars by M. I. Dobynde, Y. Y. Shprits, A. Y. Drozdov, J. Hoffman, Ju Li

“…In this study, we combine models of the particle environment arising due to SEP and GCR with Monte Carlo simulations of radiation propagation inside a spacecraft and phantom. …”
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Critical Design Considerations on Continuous Frequency Modulation Localization Systems by Belal Al-Qudsi, Mohammed El-Shennawy, Niko Joram, Marco Gunia, Frank Ellinger

“…To demonstrate the feasibility of the proposed diagram, four scenarios with different design constraints were evaluated in a Monte-Carlo model of a basic TWR system. Moreover, an experimental measurement setup demonstrated the validity of the proposed diagram. …”
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Recycled integrated circuit detection using reliability analysis and machine learning algorithms by Udaya Shankar Santhana Krishnan, Kalpana Palanisamy

“…The reliability and Monte Carlo simulation are performed on benchmark circuits such as c17, s27, b02 and fully differential folded‐cascode amplifier using the Cadence Virtuoso tool, and the parameters such as minimum voltage, delay value, supply current, gain, phase margin and bandwidth are measured. …”
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Bifurcation Analysis with Aerodynamic-Structure Uncertainties by the Nonintrusive PCE Method by Linpeng Wang, Yuting Dai, Chao Yang

“…Bifurcation diagrams with uncertainties were quantified. The Monte Carlo simulation (MCS) is also applied for comparison. …”
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Endoatmospheric Ascent Optimal Guidance with Analytical Nonlinear Trajectory Prediction by Shilei Zhao, Wanchun Chen, Liang Yang

“…Nominal simulations, Monte Carlo simulations, and optimality verification are carried out to test the performance of the proposed guidance law. …”
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A New Formulation on Seismic Risk Assessment for Reinforced Concrete Structures with Both Random and Bounded Uncertainties by Xiao-Xiao Liu, Yuan-Sheng Wang

“…Based on ALK model, the failure probabilities for different limit states are calculated by using Monte Carlo Simulation (MCS). Further, the failure probabilities for different limit states in 50 years can be obtained through coupling the seismic failure probability with the ground motion hazard curve. …”
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An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

“…To compare the performance of the proposed algorithm against existing methods, a Monte Carlo simulation-based approach was employed. …”
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Designing cellulose based biochars for CO2 separation using molecular simulations by Behnoush Barzegar, Farzaneh Feyzi

“…Six biochars with densities ranging from 0.160 to 0.987 g/cm³ were prepared, and their performance in adsorbing CO2, CH4, and N2 gases, as well as CO2/CH4 and CO2/N2 gas mixtures, was evaluated using Grand Canonical Monte Carlo (GCMC) simulations. The adsorption isotherms were fitted to the Dual-Site Langmuir (DSL) equation, and subsequently, the isosteric heat of adsorption, Gibbs free energy, and entropy changes were calculated. …”
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Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation by Guangzhou Chen, Lifeng Jiao, Xinhai Li

“…Selecting the desorption and absorption experimental data of silt loam from a northwest region in China as an instance, Monte-Carlo method was firstly applied to analyze sensitivity of the parameters and uncertainty of model so as to get the key parameters and posteriori parameter distribution to guide subsequent parameter identification. …”
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Low-Redshift Observational Constraints on Dark Energy Cosmologies by Mohammad Malekjani

“…Applying the Markov chain Monte Carlo algorithm and using low-redshift observational data, we put cosmological constraints on dark energy cosmologies. …”
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Analysis and Design of FeFET Synapse With Stacked-Nanosheet Architecture Considering Cycle-to-Cycle Variations for Neuromorphic Applications by Heng Li Lin, Pin Su

“…Using extensive Monte-Carlo simulations with a nucleation-limited-switching (NLS) ferroelectric model and considering cycle-to-cycle variations, this paper constructs and analyzes the intrinsic conductance (G_DS) response of stacked-nanosheet FeFET synapses with emphasis on the challenging identical-pulse stimulation. …”
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Optical Design of a Solar Dish Concentrator Based on Triangular Membrane Facets by Hongcai Ma, Guang Jin, Xing Zhong, Kai Xu, Yanjie Li

“…For optimizing the number of facets rows and focal-diameter ratio of the concentrator, Monte Carlo ray-tracing method is utilized to determine optical performance of the concentrator, and the system root-mean-square (RMS) deviation is considered in this design procedure. …”
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Uncertainty Quantification for a Hydraulic Fracture Geometry: Application to Woodford Shale Data by Batoul M. Gisler

“…The proposed framework uses Monte-Carlo-based statistical methods and is comprised of two parts: sensitivity analysis and the probability density functions. …”
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LiDAR Forest Inventory with Single-Tree, Double-, and Single-Phase Procedures by Robert C. Parker, David L. Evans

“…Phase 2 estimates were computed by randomly assigning LiDAR heights to species groups using a Monte Carlo simulation for each ground plot. There was no statistical difference between volume estimates from 0.5 m and 1 m LiDAR densities. …”
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Location planning techniques for Internet provider service unmanned aerial vehicles during crisis by Kassem Danach, Hassan Harb, Ameer Sardar Kwekha Rashid, Mutaz A.B. Al-Tarawneh, Wael Hosny Fouad Aly

“…The framework employs a dynamic selection of multiple low-level heuristics, guided by real-time problem conditions and a Monte Carlo-based decision process. The performance of this approach was evaluated through simulations across 40 different scenarios, encompassing urban, suburban, rural, and mixed environments. …”
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A fatigue-reliability approach using ultrasonic non-destructive inspection by Chouikh, Iheb, Bouraoui, Chokri

“…To analyse the performance and efficacity of the model, the probability of detection is determined using the “signal response” technique.The Paris model is used to predict the fatigue life taking into consideration the initial crack distributions, the dispersion of the parameters underlined by the Least-squares method and Monte-Carlo simulations.Reliability evaluation is discussed later for two cases: Detection and No-detection case.If no indication is presented, an inspection detection threshold is determined and optimized. …”
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Statistical sampling method to verify the homogeneity of full-scale cement-solidified radioactive waste by Hyeongjin Byeon, Ugyu Jeong, Jaeyeong Park

“…Therefore, this study compared uniform, random, and quasi-Monte Carlo sampling methods to determine the most effective core position. …”
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Assessment on the Current and Future Performance of Addis Ababa Light Rail Transit Service Using Mathematical Modeling by Getu Debebe, Belachew Asteray

“…Using a combination of queuing theory and Monte Carlo simulation approach, the study used case study research methodology by taking the most congested metro station in both corridors and directions of AALRT at peak hours. …”
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