Results 61 to 70 of about 3,814,069 (243)

Design of Gas Turbine Cooling System Based on Improved Jumping Spider Optimization Algorithm

Machines, 2022
The gas turbine cooling system is a complex MIMO system with a strong coupling, nonlinear, time-varying and large disturbance amplitude. In order to automatically control the target flow, target temperature and pipeline pressure, in this paper, the ...
Tianyi Li, Yanmei Liu, Zhen Chen
doaj   +1 more source

Generalized FFDIAG algorithm for non-Hermitian joint matrix diagonalization

Signal Processing
This paper deals with the joint diagonalization problem of a set of non-Hermitian matrices. It generalizes the first-order approximation used in the Fast Frobenius Diagonalization algorithm for Hermitian matrices to handle the non-Hermitian case. In the case of non-unitary diagonalization, the proposed Generalized (G)FFDiag algorithm outperforms the ...
Lassami, Nacerredine, Mesloub, Ammar, Aissa El Bey, Abdeldjalil, Abed-Meraim, Karim, Belouchrani, Adel   +4 more
openaire   +2 more sources

Refined saddle-point preconditioners for discretized Stokes problems [PDF]

, 2016
This paper is concerned with the implementation of efficient solution algorithms for elliptic problems with constraints. We establish theory which shows that including a simple scaling within well-established block diagonal preconditioners for Stokes ...
Silvester, David J., John W. Pearson, Pearson, John W., Pestana, Jennifer, Silvester, David, Pearson, John, David J. Silvester, Silvester, David; id_orcid, Jennifer Pestana   +8 more
core   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

The Diagonalized Newton Algorithm for Nonnegative Matrix Factorization

, 2013
Non-negative matrix factorization (NMF) has become a popular machine learning approach to many problems in text mining, speech and image processing, bio-informatics and seismic data analysis to name a few. In NMF, a matrix of non-negative data is approximated by the low-rank product of two matrices with non-negative entries.
openaire   +4 more sources

Fast algorithms for placing large entries along the diagonal of a sparse matrix

Journal of Computational and Applied Mathematics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vamsi Kundeti, Sanguthevar Rajasekaran
openaire   +1 more source

Steering vector errors and diagonal loading [PDF]

, 2004
Diagonal loading is one of the most widely used and effective methods to improve robustness of adaptive beamformers. In this paper, we consider its application to the case of steering vector errors, i.e.
Besson, Olivier, Vincent, François
core   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

An Improved Exact Algorithm for Least-Squares Unidimensional Scaling

Journal of Applied Mathematics, 2013
Given n objects and an symmetric dissimilarity matrix D with zero main diagonal and nonnegative off-diagonal entries, the least-squares unidimensional scaling problem asks to find an arrangement of objects along a straight line such that the pairwise ...
Gintaras Palubeckis
doaj   +1 more source

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi, Sola Al Ghazal, Salem Hannoun, Medhat A. Siddik, Nour M. Najjar, Jim Dagher, Joseph Abboud, Myriam G. Semaan, Samia J. Khoury   +8 more
wiley   +1 more source