Results 51 to 60 of about 33,887 (293)

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

Advanced 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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Post Selection Shrinkage Estimation for High Dimensional Data Analysis

, 2016
In high-dimensional data settings where $p\gg n$, many penalized regularization approaches were studied for simultaneous variable selection and estimation.
Ahmed, S. E., Feng, Yang, Gao, Xiaoli
core   +1 more source

Estimation in high-dimensional linear models with deterministic design matrices [PDF]

, 2012
Because of the advance in technologies, modern statistical studies often encounter linear models with the number of explanatory variables much larger than the sample size.
Deng, Xinwei, Shao, Jun
core   +1 more source

Non Thermal‐Driven Photocatalytic Ammonia Decomposition at Near‐Room Temperature on a Plasmonic Nanocone Array

Advanced Functional Materials, EarlyView.
Plasmonic photocatalytic ammonia decomposition occurs at near‐room temperature on a plasmonic Au nanocone array under visible light illumination. The nanostructure efficiently harnesses plasmonic modes, leading to increased reaction rates upon plasmon decay.
Thanh‐Lam Bui, S. M. Hossein Hejazi, Jan Navrátil, Hana Kmentová, Petr Bábor, Olivier Henrotte, Luca Mascaretti, Matteo Bisetto, Stephen K. Sanders, Andrea Schirato, Michal Otyepka, Piotr Błoński, Tiziano Montini, Radek Zboril, Paolo Fornasiero, Alessandro Alabastri, Alberto Naldoni, Stepan Kment   +17 more
wiley   +1 more source

A Modified New Two-Parameter Estimator in a Linear Regression Model

Modelling and Simulation in Engineering, 2019
The literature has shown that ordinary least squares estimator (OLSE) is not best when the explanatory variables are related, that is, when multicollinearity is present. This estimator becomes unstable and gives a misleading conclusion.
Adewale F. Lukman, Kayode Ayinde, Sek Siok Kun, Emmanuel T. Adewuyi   +3 more
doaj   +1 more source

A New Convex Estimator Combining Ridge and Ordinary Least Squares Estimators [PDF]

مجلة جامعة الانبار للعلوم الصرفة
In the presence of high correlation between the independent variables in the linear regression model, which is known as the multicollinearity problem, the ordinary least squares estimator produce large variations in the sample.
Karam Al-janabi, Mustafa Alheety
doaj   +1 more source

A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application

Frontiers in Applied Mathematics and Statistics, 2022
The beta regression is a widely known statistical model when the response (or the dependent) variable has the form of fractions or percentages. In most of the situations in beta regression, the explanatory variables are related to each other which is ...
Mohamed R. Abonazel, Zakariya Yahya Algamal, Fuad A. Awwad, Ibrahim M. Taha   +3 more
doaj   +1 more source

Modifying Two-Parameter Ridge Liu Estimator Based on Ridge Estimation

Pakistan Journal of Statistics and Operation Research, 2019
In this paper, we introduce the new biased estimator to deal with the problem of multicollinearity. This estimator is considered a modification of Two-Parameter Ridge-Liu estimator based on ridge estimation. Furthermore, the superiority of the new estimator than Ridge, Liu and Two-Parameter Ridge-Liu estimator were discussed.
openaire   +2 more sources

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Large Anomalous and Topological Hall Effect and Nernst Effect in a Dirac Kagome Magnet Fe3Ge

Advanced Functional Materials, EarlyView.
Fe3Ge, a Kagome‐lattice magnet, exhibits remarkable anomalous Hall and Nernst effects, with transverse thermoelectric conductivity surpassing or comaprable to some well‐known ferromagnets. First‐principles calculations attribute these to Berry curvature from massive Dirac gaps. Additionally, topological Hall and Nernst signals emerge from field‐induced
Chunqiang Xu, Shuvankar Gupta, Hengxin Tan, Hyeonhu Bae, Olajumoke Oluwatobiloba Emmanuel, Mingyu Xu, Yan Wu, Xiaofeng Xu, Pengpeng Zhang, Weiwei Xie, Binghai Yan, Xianglin Ke   +11 more
wiley   +1 more source