Results 111 to 120 of about 31,241 (250)
Sparse Signal Recovery via Rescaled Matching Pursuit
We propose the Rescaled Matching Pursuit (RMP) algorithm to recover sparse signals in high-dimensional Euclidean spaces. The RMP algorithm has less computational complexity than other greedy-type algorithms, such as Orthogonal Matching Pursuit (OMP).
Wan Li, Peixin Ye
doaj +1 more source
ABSTRACT Introduction/Aims In dystrophic mice (mdx, a genetic homolog of Duchenne muscular dystrophy: DMD), previous studies showed that mechanical ventilation (MV) induces ventilator‐induced diaphragmatic dysfunction (VIDD). However, susceptibility to mechanical stress caused by asynchrony remains unknown.
Mohamad Yehya +7 more
wiley +1 more source
Performance of Glass Fiber Composites With Plastic‐Waste Pyrolysis Char as Filler
Valorisation of mixed plastic waste into carbonaceous char via pyrolysis, its integration as a microfiller in epoxy/E‐glass (GFRP) laminates, and characterisation to assess composite performance as a function of filler loading. ABSTRACT Plastic pyrolysis offers circular solutions for mixed plastic waste but leaves a carbonaceous char that is often ...
Jerome Anokwu +3 more
wiley +1 more source
Pruning-Based Sparse Recovery for Electrocardiogram Reconstruction from Compressed Measurements
Due to the necessity of the low-power implementation of newly-developed electrocardiogram (ECG) sensors, exact ECG data reconstruction from the compressed measurements has received much attention in recent years.
Jaeseok Lee, Kyungsoo Kim, Ji-Woong Choi
doaj +1 more source
Abstract Background The effectiveness of platelet‐rich plasma (PRP) injections in chronic tendinopathies remains debated. Although the product's characteristics play a role, the impact of postinjection recommendations remains poorly investigated. Objective To establish principles and guidelines for post‐PRP injection rehabilitation and return to ...
Vincent Gremeaux +12 more
wiley +1 more source
An Online Dictionary Learning-Based Compressive Data Gathering Algorithm in Wireless Sensor Networks
To adapt to sense signals of enormous diversities and dynamics, and to decrease the reconstruction errors caused by ambient noise, a novel online dictionary learning method-based compressive data gathering (ODL-CDG) algorithm is proposed.
Donghao Wang +3 more
doaj +1 more source
Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen +6 more
wiley +1 more source
Nonlinear analysis of flat post‐tensioned concrete slab–edge column connections
Abstract This study presents nonlinear finite element analyses to investigate the punching shear behavior of unbonded post‐tensioned concrete flat slabs at slab‐edge column connections. A parametric analysis was conducted to evaluate the influence of four critical parameters on the punching shear resistance: the distribution of prestressing tendons ...
Igor Gonçalves +4 more
wiley +1 more source
On log-concave-tailed chaoses and the restricted isometry property
In this paper, we obtain a $p$-th moment bound for the suprema of a log-concave-tailed nonhomogeneous chaos process, which is optimal in some special cases. A crucial ingredient of the proof is a novel decoupling inequality, which may be of independent interest.
Dai, Guozheng +3 more
openaire +3 more sources
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source

