Results 61 to 70 of about 3,282,695 (356)
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
BAYESIAN STOCHASTIC MODELING OF SUPPLY CHAIN
Annals: Series on engineering sciences (Academy of Romanian Scientists)Supply chain systems are increasingly exposed to uncertainty due to fluctuating demand, variable lead times, and frequent disruptions across global networks.
Marcel ILIE, Augustin SEMENESCU
doaj +1 more source
Multiscale Stuart-Landau Emulators: Application to Wind-Driven Ocean Gyres
Fluids, 2018 The multiscale variability of the ocean circulation due to its nonlinear dynamics remains a big challenge for theoretical understanding and practical ocean modeling.
Dmitri Kondrashov +2 more
doaj +1 more source
Stochastic Model Checking [PDF]
, 2007 This tutorial presents an overview of model checking for both discrete and continuous-time Markov chains (DTMCs and CTMCs). Model checking algorithms are given for verifying DTMCs and CTMCs against specifications written in probabilistic extensions of temporal logic, including quantitative properties with rewards.
Marta Z. Kwiatkowska +2 more
openaire +2 more sources
Stochastic modeling of private equity: an equilibrium based approach to fund valuation [PDF]
In this paper, we present a new approach to measure the returns of private equity investments based on a stochastic model of the dynamics of a private equity fund.
Wagner, Niklas +2 more
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Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
Advanced Engineering Materials, EarlyView.This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Improving the accuracy of geological model by using seismic forward and inverse techniques
Petroleum Exploration and Development, 2014 : Sequential Gaussian simulation method is taken as an example to analyze the characteristics and defects of stochastic simulation methods, and a modeling strategy is proposed that is based on the results of seismic inversion to improve modeling accuracy.
Yong HU +5 more
doaj +1 more source
A STOCHASTIC MODELING FOR THE UNSTABLE FINANCIAL MARKETS [PDF]
Considering the present economic context, the measurement of performances has become a permanent preoccupation for organizations, since the whole process is based on it, offering the necessary feedback to identify both the positive actions which have led
Assoc. Prof. Romeo Negrea Ph. D +2 more
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