Results 101 to 110 of about 145,962 (303)
You Only Look Once v5 and Multi-Template Matching for Small-Crack Defect Detection on Metal Surfaces
AutomationThis paper compares the performance of Deep Learning (DL) and multi-template matching (MTM) models for detecting small defects. DL models extract distinguishing features of objects but require a large dataset of images.
Pallavi Dubey +5 more
doaj +1 more source
Model-Based Bootstrapping on Classified Tensor Morphologies: Estimation of Uncertainty in Fibre Orientation and Probabilistic Tractography. [PDF]
In this study, fast and clinically feasible model-based bootstrapping algorithms using a geometrically constrained two-tensor diffusion model are employed for estimating uncertainty in fibre-orientation. Voxels are classified based on tensor morphologies
Bertoni, Miguel +4 more
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
On Smoothing and the Bootstrap
The Annals of Statistics, 1989 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hall, Peter +2 more
openaire +2 more sources
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
Advanced Intelligent Discovery, EarlyView.An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source
Dependence of Stock Returns in Bull and Bear Markets
Dependence Modeling, 2013 Despite of its many shortcomings, Pearson’s rho is often used as an association measure for stock returns. A conditional version of Spearman’s rho is suggested as an alternative measure of association. This approach is purely nonparametric and avoids any
Dobric Jadran +2 more
doaj +1 more source
Bootstrapping the Small Sample Critical Values of the Rescaled Range Statistic [PDF]
Finite sample critical values of the rescaled range or R/S statistic may be obtained by bootstrapping. The empirical size and power performance of these critical values is good. Using the post blackened, moving block bootstrap helps to replicate the time
Marwan Izzeldin, Anthony Murphy
core
Advanced Intelligent Discovery, EarlyView.Machine‐learning models predict myopia trajectories from 12 routine ocular variables in 40 445 children across 10 hospitals. Externally validated across school‐based screening and optical‐intervention settings, the best models achieve AUROC 0.97 for myopia status and R2 0.83 for spherical equivalent, enabling personalized risk stratification to curb ...
Yitong Zhang +14 more
wiley +1 more source
Modeling Value-at-Risk in Oil Price Using Bootstrapping Approach
, 2011 This investigation estimates the Value-at-Risk (VaR) for the return on crude oil for WTI (West Texas Intermediate) via the RiskMetrics and AR-GARCH models using the rolling bootstrapping method.
Lee, Ming-chih; Chiu, Chien-liang; Cheng, Wan-hsiu
core
Advanced Intelligent Systems, EarlyView.A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source