Results 81 to 90 of about 344,945 (269)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational 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   +2 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced 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

BAYESIAN ESTIMATION OF THE SCALE PARAMETER OF THE WEIBULL DISTRIBUTION USING THE LINEX AND ITS APPLICATION TO STROKE PATIENT DATA

open access: yesBarekeng
Survival analysis is used to study the timing of an event, such as recovery or death, in the context of medical data. One of the diseases that many people suffer from is stroke.
Tentri Ryan Rahmanita   +4 more
doaj   +1 more source

Analisis Constructivist Multimedia Learning Environment dengan Pendekatan Bayesian Structural Equation Model

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018
Constructivist Multimedia Learning Environment (CMLE) merupakan model pembelajaran yang di dalamnya seorang pengajar memberikan peserta didiknya sebuah pengalaman yang dapat membantu peserta didik untuk mengembangkan kemampuan memecahkan masalah ...
Eny Sukani Rahayu   +3 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Bayesian optimization of laser processes to maximize structural color gamut

open access: yesJournal of the European Optical Society-Rapid Publications
Laser-induced printing is a fast, low-cost, and contactless method for producing high-resolution images on thin films containing metallic nanoparticles.
Mermillod-Blondin Robin   +4 more
doaj   +1 more source

A patient called Medical Research

open access: yesBiomedical Papers, 2017
We report the case of a patient called Medical Research who presents with multiple life threatening symptoms, including a plethora of false positive results. This paper describes the course of the disease, discusses possible etiologies and offers options
Tomas Furst, Jan Strojil
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy