Results 81 to 90 of about 20,280 (112)

Deep learning MRI halves scan time and preserves image quality across routine neuroradiologic examinations. [PDF]

Radiol Adv
Lyo SK, Mohan S, Hoch MJ, Patel VP, Kurtz RM, Hassankhani A.   +5 more
europepmc   +1 more source

Computational Study Protocol: Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data. [PDF]

F1000Res
Kohnert E, Kreutz C.
europepmc   +1 more source

Sparsity-enhanced equivalent source method for acoustic source reconstruction via the Generalized Minimax-Concave penalty

Mechanical Systems and Signal Processing, 2022
Abstract The Equivalent Source Method (ESM) is a powerful technique for acoustic source reconstruction, which has been widely used in noise control and machinery fault detection. Because the inverse acoustic source reconstruction problem is typically ill-conditioned, regularization techniques are often adopted in ESM to achieve meaningful solutions ...
Ran Wang, Chenyu Zhang, Liang Yu, Jiaqing Li   +3 more
openaire   +1 more source

Sparsity considerations in power system equivalents

Proceedings of the IEEE, 1980
It is shown that for practical power system applications the amount of network reduction to be performed is a function of both the topology of the network and the impedance of the equivalent branches. It is also shown that it is not sufficient to consider only the topological characteristics of the network to be equivalized in deciding about the nodes ...
E.C. Housos, G. Irisarri
openaire   +1 more source

Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation

IEEE Transactions on Neural Networks, 2008
This paper discusses the estimation and numerical calculation of the probability that the 0-norm and 1-norm solutions of underdetermined linear equations are equivalent in the case of sparse representation. First, we define the sparsity degree of a signal.
Yuanqing, Li, Andrzej, Cichocki, Shun-ichi, Amari, Shengli, Xie, Cuntai, Guan   +4 more
openaire   +2 more sources

Solving inverse obstacle problems using inverse source, equivalence principles and sparsity promotion

2017 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2017
This paper introduces a new linear approach for the solution of inverse obstacles problem in case of both penetrable and impenetrable objects. The approach takes advantage from the equivalence principles and from sparsity based regularizations. In particular, thank to the fact that for both high conductivity and dielectric scatterers, induced and ...
M. T. Bevacqua, T. Isernia
openaire   +1 more source

Extension of sound field separation technique based on the equivalent source method in a sparsity framework

Journal of Sound and Vibration, 2019
Abstract The equivalent source method (ESM)-based sound field separation technique has been successfully introduced into near-field acoustic holography as a preprocessing tool to eliminate the influence of disturbing sources or reflections from the opposite side of the array.
Chuan-Xing Bi, Yuan Liu, Yong-Bin Zhang, Liang Xu   +3 more
openaire   +1 more source

A Compressed Sensing and Sparsity Based Approach for Estimating an Equivalent NIR Image from a RGB Image

SAE Technical Paper Series, 2015
<div class="section abstract"><div class="htmlview paragraph">Camera sensors that are made of silicon photodiodes and used in ordinary digital cameras are sensitive to visible as well as Near-Infrared (NIR) wavelength. However, since the human vision is sensitive only in the visible region, a hot mirror/infrared blocking filter is used in ...
R Danymol, Krishnan Kutty
openaire   +1 more source

Sparsity-oriented method for swift steady-state solution of large-scale power systems using a discrete equivalent model

2023 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2023
Julio Cesar Godinez-Delgado, Aurelio Medina-Rios, Rafael Cisneros-Magaña, Jose Luis Guillen-Aguirre   +3 more
openaire   +1 more source