Results 41 to 50 of about 28,338 (117)

A graphical method for practical and informative identifiability analyses of physiological models: A case study of insulin kinetics and sensitivity

BioMedical Engineering OnLine, 2011
Background Derivative based a-priori structural identifiability analyses of mathematical models can offer valuable insight into the identifiability of model parameters. However, these analyses are only capable of a binary confirmation of the mathematical
Lotz Thomas F, Chase J Geoffrey, Docherty Paul D, Desaive Thomas   +3 more
doaj   +1 more source

Bootstrap Initialization of MLE for Infinite Mixture Distributions with Applications in Insurance Data

Risks
Maximum likelihood estimation (MLE) in infinite mixture distributions often lacks closed-form solutions, requiring numerical methods such as the Newton–Raphson algorithm.
Aceng Komarudin Mutaqin
doaj   +1 more source

Average optical path length estimation in a slab of arbitrary finite thickness

Frontiers in Remote Sensing
A method for determining the average photon path length in a slab of multiple scattering material is presented. Radiances can be obtained from the radiative transfer equation and subsequently differentiated to obtain the average photon path length. These
Tim Kindervatter, Wei Li, Nan Chen, Yuping Huang, Yongxiang Hu, Snorre Stamnes, Xiaomei Lu, Børge Hamre, Jakob J. Stamnes, Tomonori Tanikawa, Jennifer Lee, Carl Weimer, Xubin Zeng, Charles K. Gatebe, Knut Stamnes   +14 more
doaj   +1 more source

Machine Learning for Predicting Neutron Effective Dose

Applied Sciences
The calculation of effective doses is crucial in many medical and radiation fields in order to ensure safety and compliance with regulatory limits. Traditionally, Monte Carlo codes using detailed human body computational phantoms have been used for such ...
Ali A. A. Alghamdi
doaj   +1 more source

BRIDGING THE PERFORMANCE GAP IN EXASCALE ARCHITECTURES: MONTE CARLO APPROACHES TO HIGH-DIMENSIONAL PROBLEMS

International Journal of Social and Educational Innovation
The paper uses Monte Carlo algorithms applications to solve large-scale and sparse linear systems that have a significant spectrum of application in the modern field of computation science.
Adedeji Daniel GBADEBO
doaj  

Numerical Study of Non-Schell Model Pulses in Nonlinear Dispersive Media with the Monte Carlo-Based Pseudo-Mode Superposition Method

Photonics
Recently, we introduced random complex and phase screen methods as powerful tools for numerically investigating the evolution of partially coherent pulses (PCPs) in nonlinear dispersive media.
Pujuan Ma, Yi Zhang, Yanlin Bai, Yangjian Cai, Jingsong Liu   +4 more
doaj   +1 more source

Modeling exospheres: analytical and numerical methods with application examples

Frontiers in Astronomy and Space Sciences
Exospheres, the tenuous gas environments surrounding planets, planetary satellites, and cometary comae, play a significant role in mediating the interactions of these astronomical bodies with their surrounding space environments.
Valeriy Tenishev, Yinsi Shou, Yuni Lee, Yuni Lee, Yingjuan Ma, Michael R. Combi   +5 more
doaj   +1 more source

Neural importance resampling: a practical sampling strategy for neural quantum states

Machine Learning: Science and Technology
Neural quantum states (NQS) have emerged as powerful tools for simulating many-body quantum systems, but their practical use is often hindered by limitations of current sampling techniques.
Eimantas Ledinauskas, Egidijus Anisimovas   +1 more
doaj   +1 more source

Material Variability and Quality Control Effects on Shear Resistance of RC Structures: A Reliability Sensitivity Study. [PDF]

Materials (Basel)
Faghfouri S, Strauss A.
europepmc   +1 more source

Advances in Metal Microstructure Simulation and Analysis. [PDF]

Materials (Basel)
Liu M, Zhou H, Jiang H, Yue C.
europepmc   +1 more source