Results 51 to 60 of about 12,571,794 (304)

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, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]

, 2006
We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the ExpectationMaximization (EM) algorithm and its Monte Carlo variants. Our
Davy, Manuel, Doucet, Arnaud, Doucet, A, Johansen, Adam, Adam Johansen, Arnaud Doucet, Manuel Davy, Johansen, AM, Davy, M, A. Johansen, A. Doucet, Johansen, Adam M., M. Davy   +12 more
core   +2 more sources

An Efficient Anti-Optimization Approach for Uncertainty Analysis in Composite Laminates

Materials Research, 2021
This work presents an efficient approach to quantify uncertainties in composite laminates using the interval analysis, anti-optimization technique, and the α-cut procedure.
Pedro Bührer Santana, Ewerton Grotti, Herbert Martins Gomes   +2 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Monte Carlo Method with Heuristic Adjustment for Irregularly Shaped Food Product Volume Measurement

The Scientific World Journal, 2014
Volume measurement plays an important role in the production and processing of food products. Various methods have been proposed to measure the volume of food products with irregular shapes based on 3D reconstruction.
Joko Siswantoro, Anton Satria Prabuwono, Azizi Abdullah, Bahari Idrus   +3 more
doaj   +1 more source

A comparative study between Classical Numerical Methods and Monte Carlo Methods [PDF]

المجلة العراقية للعلوم الاحصائية, 2008
Recently, there is a great interest in the methods of Monte Carlo used for the treatment of different technical and scientific issues. This research deals with using the Monte Carlo methods in numerical integration by making a general comparison between
doaj   +1 more source

Fast Monte Carlo Method for Condition Number Estimation

Digital Presentation and Preservation of Cultural and Scientific Heritage, 2021
This paper presents theoretical results on estimation the condition number with application in image restoration problems.
Silvi-Maria Gurova, Aneta Karaivanova
doaj   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

A top-down iteration algorithm for Monte Carlo method for probability estimation of a fault tree with circular logic

Nuclear Engineering and Technology, 2018
Calculating minimal cut sets is a typical quantification method used to evaluate the top event probability for a fault tree. If minimal cut sets cannot be calculated or if the accuracy of the quantification result is in doubt, the Monte Carlo method can ...
Sang Hoon Han
doaj   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source