Results 101 to 110 of about 137,667 (314)

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

Fuzzy Data Modeling and Parameter Estimation in Two Gamma Populations

IEEE Access
This study addresses the challenge of estimating parameters for two Gamma populations that share a common scale parameter but differ in their shape parameters, within the context of fuzzy data.
Vijay Kumar Lingutla, Nagamani Nadiminti
doaj   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning

Entropy, 2019
Bayesian statistical inference under unknown or hard to asses likelihood functions is a very challenging task. Currently, approximate Bayesian computation (ABC) techniques have emerged as a widely used set of likelihood-free methods. A vast number of ABC-
Wilson González-Vanegas, Andrés Álvarez-Meza, José Hernández-Muriel, Álvaro Orozco-Gutiérrez   +3 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania

Nature Communications, 2019
Introgression of Neanderthals and Denisovans left genomic signals in anatomically modern human after Out-of-Africa event. Here, the authors identify a third archaic introgression common to all Asian and Oceanian human populations by applying an ...
Mayukh Mondal, Jaume Bertranpetit, Oscar Lao   +2 more
doaj   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

ABCtoolbox: a versatile toolkit for approximate Bayesian computations

BMC Bioinformatics, 2010
Background The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractable for many realistic evolutionary models, and the use of Bayesian inference
Neuenschwander Samuel, Leuenberger Christoph, Wegmann Daniel, Excoffier Laurent   +3 more
doaj   +1 more source

The Fixed Landscape Inference MethOd (flimo): a versatile alternative to Approximate Bayesian Computation, faster by several orders of magnitude [PDF]

, 2022
Sylvain Moinard, Édouard Oudet, Didier Piau, Éric Coissac, Christelle Gonindard‐Melodelima   +4 more
openalex   +1 more source

Approximate Bayesian Computation in State Space Models

, 2014
A new approach to inference in state space models is proposed, based on approximate Bayesian computation (ABC). ABC avoids evaluation of the likelihood function by matching observed summary statistics with statistics computed from data simulated from the
Maneesoonthorn, Worapree, Martin, Gael M., McCabe, Brendan P. M., Robert, Christian P.   +3 more
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