Results 51 to 60 of about 607,794 (304)
Dwarf Mongoose Optimization Metaheuristics for Autoregressive Exogenous Model Identification
Nature-inspired metaheuristic algorithms have gained great attention over the last decade due to their potential for finding optimal solutions to different optimization problems.
Khizer Mehmood +6 more
doaj +1 more source
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
Robust nonparametric regression estimation
Following \textit{P. J. Huber}'s [Ann. Math. Statistics 35, 73-101 (1964; Zbl 0136.398)] proposal for location, the authors define a robust conditional location functional in order to obtain from it robust and nonparametric estimators of the conditional expectation. The functional is defined without requiring any moment condition.
Boente, Graciela, Fraiman, Ricardo
openaire +2 more sources
Dynamic compression enhances mesenchymal stromal cell proliferation in nonwoven PET scaffolds under chondrogenic differentiation conditions and triggers mechanosensitive transcriptional programs associated with extracellular matrix remodeling. These findings highlight the potential of mechanically stimulated PET scaffolds as a promising platform for ...
Graciosa Quelhas Teixeira +8 more
wiley +1 more source
Causal additive models with smooth backfitting
A fully nonparametric approach to learning causal structures from observational data is proposed. The method is described in the setting of additive structural equation models with a link to causal inference.
Morville Asger B., Park Byeong U.
doaj +1 more source
Dementia syndrome affects millions of people in the world, and Alzheimer's disease (AD) is the most common cause. We report the detection of the specific biomarker for AD, p‐tau‐181, from physiological to pathological concentrations in cerebrospinal fluid using an electrolyte‐gated organic transistor biosensor.
Marcello Berto +10 more
wiley +1 more source
Nonparametric Estimation of the Tail-Dependence Coefficient
A common measure of tail dependence is the so-called tail-dependence coefficient. We present a nonparametric estimator of the tail-dependence coefficient and prove its strong consistency and asymptotic normality in the case of known marginal ...
Marta Ferreira
doaj +1 more source
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi +11 more
wiley +1 more source
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena +7 more
wiley +1 more source
Multiphase machines offer low per-phase power stress and strong fault-tolerant capability and have therefore attracted substantial interest in both academia and industry. Model predictive control (MPC) is an advanced control approach that can improve the
Wenjie Wang, Haifeng Wang, Xinzhen Wu
doaj +1 more source

