Results 51 to 60 of about 2,482,864 (253)

Blind Deconvolution with Scale Ambiguity

Applied Sciences, 2020
Recent years have witnessed significant advances in single image deblurring due to the increasing popularity of electronic imaging equipment. Most existing blind image deblurring algorithms focus on designing distinctive image priors for blur kernel ...
Wanshu Fan, Hongyan Wang, Yan Wang, Zhixun Su   +3 more
doaj   +1 more source

Molecular Diagnosis in Children With Febrile Seizures: Beyond the Conventional Clinical Classification

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Febrile seizures (FS) are currently classified as simple or complex primarily to describe seizure characteristics, with limited ability to identify the underlying etiology. We evaluated whether molecular diagnosis could complement conventional classification and improve the diagnosis and management of FS.
Jia Wang, Mengna Zhang, Yangyang Wang, Xiuyu Shi, Baoguang Li, Xiuxia Wang, Dan Sun, Sanqing Xu, Jianbo Zhao, Lijun Du, Qiming Pang, Xiaoming Liu, Chunhui Tang, Xiaohua Li, Jiuwei Li, Yanli Ma, Jianxiang Liao, Gulixian Abudureyimu, Jianmin Liang, Yuan Wang, De Wu, Jian Wu, Liping Zou   +22 more
wiley   +1 more source

Development of Patient‐Reported Outcome Measures for Early Systemic Sclerosis Across Disease Subtypes

Arthritis Care &Research, Accepted Article.
Objective Existing patient‐reported outcome (PRO) measures for systemic sclerosis (SSc) have important limitations, including inadequate coverage of early disease and limited inclusion of diffuse cutaneous (dcSSc) and limited cutaneous (lcSSc) subtypes.
George J. Greene, Chelsea Rose Perschon, Emilie Jaeger, Alain Lescoat, David Cella, Dinesh Khanna   +5 more
wiley   +1 more source

On the Exact Asymptotic Error of the Kernel Estimator of the Conditional Hazard Function for Quasi-Associated Functional Variables

Mathematics
The goal of this research is to analyze the mean squared error (MSE) of the kernel estimator for the conditional hazard rate, assuming that the sequence of real random vector variables (Un)n∈N satisfies the quasi-association condition.
Abdelkader Rassoul, Abderrahmane Belguerna, Hamza Daoudi, Zouaoui Chikr Elmezouar, Fatimah Alshahrani   +4 more
doaj   +1 more source

On almost sure convergence rates for the kernel estimator of a covariance operator under negative association [PDF]

Journal of Mahani Mathematical Research
It is suppose that $\{X_n,~n\geq 1\}$ is a strictly stationary sequence of negatively associated random variables with continuous distribution function F.
Hadi Jabbari
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International 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, Marco Forgione, Dario Piga, Marco Zaffalon   +3 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

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

Super Resolution with Kernel Estimation and Dual Attention Mechanism

Information, 2020
Convolutional Neural Networks (CNN) have led to promising performance in super-resolution (SR). Most SR methods are trained and evaluated on predefined blur kernel datasets (e.g., bicubic).
Huan Liang, Youdong Ding, Fei Wang, Yuzhen Gao, Xiaofeng Qiu   +4 more
doaj   +1 more source

New bandwidth selection for kernel quantile estimators [PDF]

, 2012
Copyright © 2012 Ali Al-Kenani and Keming Yu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly ...
Al-Kenani, A, Yu, K, Keming Yu, Ali Al-Kenani   +3 more
core   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source