Results 31 to 40 of about 28,338 (117)

Reliability analysis of the triple modular redundancy system under step-partially accelerated life tests using Lomax distribution

Scientific Reports, 2023
Triple modular redundancy (TMR) is a robust technique utilized in safety-critical applications to enhance fault-tolerance and reliability. This article focuses on estimating the distribution parameters of a TMR system under step-stress partially ...
Laila A. Al-Essa, Alaa H. Abdel-Hamid, Tmader Alballa, Atef F. Hashem   +3 more
doaj   +1 more source

Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows

Journal of High Energy Physics
Flow-based architectures have recently proved to be an efficient tool for numerical simulations of Effective String Theories regularized on the lattice that otherwise cannot be efficiently sampled by standard Monte Carlo methods.
Michele Caselle, Elia Cellini, Alessandro Nada   +2 more
doaj   +1 more source

On Estimation of Shannon’s Entropy of Maxwell Distribution Based on Progressively First-Failure Censored Data

Stats
Shannon’s entropy is a fundamental concept in information theory that quantifies the uncertainty or information in a random variable or data set.
Kapil Kumar, Indrajeet Kumar, Hon Keung Tony Ng   +2 more
doaj   +1 more source

Review on assessment methodology for hydrothermal resources based on renewable energy attributes

Energy Geoscience
Accurate and effective assessment of hydrothermal resources is crucial in the geothermal industry, given that the global installed capacity for direct use (173 303 MW) significantly exceeds that for geothermal power (16 260 MW).
Yifan Bao, Fengnian Zhao, Li Du, Zhonghe Pang, Yanlong Kong, Fengtian Yang, Chen Yang, Jiachao Huang, Chunhong Ma, Minghui Wu, Peiyao Dong   +10 more
doaj   +1 more source

Radiation transport methods in star formation simulations

Frontiers in Astronomy and Space Sciences
Radiation transport plays a crucial role in star formation models, as certain questions within this field cannot be accurately addressed without taking it into account. Given the high complexity of the interstellar medium from which stars form, numerical
Richard Wünsch
doaj   +1 more source

Bayesian estimation for alpha power Weibull model under adaptive progressive censoring: a comparative study of Metropolis-Hastings and Hamiltonian Monte Carlo methods

Applied Mathematics in Science and Engineering
The alpha power Weibull distribution is a flexible generalization of the classical Weibull distribution that is capable of modeling a wide variety of data behaviors through its ability to accommodate multiple shapes of the hazard rate function.
Mazen Nassar, Refah Alotaibi
doaj   +1 more source

Mesh‐free Monte Carlo method for electrostatic problems with floating potentials

High Voltage
Numerical simulation plays a crucial role in the analysis and design of power equipment, such as lightning protection devices, which may become inefficient using traditional grid‐based methods when handling complex geometries of large problems.
Wenjing Yin, Yunqing Wang, Hong Deng, Jiawei Wang, Xiaoke Gao, Ruoyu Huang, Kun He, Weijiang Chen, Tianyu Dong   +8 more
doaj   +1 more source

ResPoNet: A Residual Neural Network for Efficient Valuation of Large Variable Annuity Portfolios

Mathematics
Accurately valuing large portfolios of Variable Annuities (VAs) poses a significant challenge due to the high computational burden of Monte Carlo simulations and the limitations of spatial interpolation methods that rely on manually defined distance ...
Heng Xiong, Jie Xu, Rogemar Mamon, Yixing Zhao   +3 more
doaj   +1 more source

Analytical and numerical methods for estimating the probability of interlaminar fracture in Mode I of composite structures under the peel test

Vojnotehnički Glasnik
Introduction/purpose: The present work utilizes a numerical and analytical approach to predict the likelihood of interlaminar fracture in Mode I of a composite structure under the peel test Methods: The finite element approach, which incorporates the ...
Nadia Benchaib, Belaïd Mechab, Malika Medjahdi, Aicha Metehri, Mokadem Salem, Bel Abbes Bachir Bouiadjra   +5 more
doaj   +1 more source

Generalization-Capable PINNs for the Lane–Emden Equation: Residual and StellarNET Approaches

Applied Sciences
We present a Physics-Informed Neural Network (PINN) approach to solving the Lane–Emden equation, a model used to describe polytropic stars’ behavior in astrophysics.
Andrei-Ionuț Mohuț, Călin-Adrian Popa
doaj   +1 more source