Results 41 to 50 of about 333,902 (325)

Channel Estimation and Optimal Pilot Signals for Universal Filtered Multi-Carrier (UFMC) Systems [PDF]

, 2017
We propose channel estimation algorithms and pilot signal optimization for the universal filtered multi-carrier (UFMC) system based on the comb-type pilot pattern.
He, Chang, Ijaz, Ayesha, Mao, Juquan, Xiao, Pei, Zhang, Lei   +4 more
core   +1 more source

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Prediksi puncak pandemi Covid-19 di Indonesia dengan model SIR

Jurnal Teknologi dan Sistem Komputer, 2021
Penelitian ini menyajikan penggunaan model Susceptible, Infected, and Removed (SIR) untuk memprediksi kondisi penularan Covid-19 di Indonesia. Data resmi pemerintah yang terdiri dari kasus positif, meninggal, dan sembuh digunakan sebagai data aktual ...
Bambang Ari Wahyudi, Irma Palupi
doaj   +1 more source

The iCollaborate MSE Project [PDF]

2011 ASEE Annual Conference & Exposition Proceedings, 2020
The iCollaborate MSE ProjectThe overall objectives of the research proposed in the iCollaborate MSE [Materials Science andEngineering] project are to measure if improvements in student learning outcomes, studentengagement, and successful course completion are possible if the structure in basic materialsengineering courses are transformed from primarily
Kathleen L. Kitto, Debra S. Jusak
openaire   +2 more sources

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

Performance of Some Yang and Chang estimators in Logistic Regression Model. [PDF]

المجلة العراقية للعلوم الاحصائية
In logistic regression models, the maximum likelihood (ML) method is always one of the commonly used to estimate the model parameters. However, unstable parameter estimates are obtained as a result due to the problem of multicollinearity and the mean ...
JAMES OLADAPO, k. Ayinde K. Ayinde
doaj   +1 more source

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey, Vineet Reddy, Ammar A. Rashied, Nigel P. Pedersen, Robert T. Krafty   +4 more
wiley   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

A new modified ridge-type estimator for the beta regression model: simulation and application

AIMS Mathematics, 2022
The beta regression model has become a popular tool for assessing the relationships among chemical characteristics. In the BRM, when the explanatory variables are highly correlated, then the maximum likelihood estimator (MLE) does not provide reliable ...
Muhammad Nauman Akram, Muhammad Amin, Ahmed Elhassanein, Muhammad Aman Ullah   +3 more
doaj   +1 more source

Weighted MSE based spatially adaptive BM3D [PDF]

2017 25th European Signal Processing Conference (EUSIPCO), 2017
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Egiazarian, Karen, Pismenskova, Marina, Ponomarenko, Mykola   +2 more
openaire   +1 more source