Results 131 to 140 of about 36,871 (305)
A Joint Graph Signal and Laplacian Denoising Network
Graph neural network (GNN) models have presented astonishing achievements in various application fields. However, they are shown to be vulnerable to adversarial attacks on graph structure and unnoticeable perturbations on the graph structure can cause ...
Zhang, Zepeng, Zhao, Ziping
core +1 more source
THz signal denoising via redundant representation
Denoising is widely used in THz signal processing. In recent years, there have been many papers about applying wavelet-based denoising techniques to achieve clean THz signal.
Ng, B. +7 more
core +1 more source
This study systematically reveals a complex interactive network involving plants, microbes, and insects, elucidating the ecological and molecular mechanisms by which cotton enhances its resistance to aphids through the active recruitment of the beneficial soil bacterium Delftia tsuruhatensis.
Hui Xue +11 more
wiley +1 more source
In order to improve the energy efficiency of wearable devices, it is necessary to compress and reconstruct the collected electrocardiogram data. The compressed data may be mixed with noise during the transmission process.
Bing Zhang +5 more
doaj +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
A revised scheme for real time ECG Signal denoising based on recursive filtering
In many healthcare applications, artifacts mask or corrupt important features of Electrocardiogram (ECG) signals. In this paper we describe a revised scheme for ECG signal denoising based on a recursive filtering methodology.
FARINA, Raffaele +7 more
core +1 more source
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng +6 more
wiley +1 more source
An improved empirical mode decomposition( EMD) method of fault diagnosis is presented,Which combined with the wavelet packet denoising,the correlation coefficient principle,the wavelet denoising with selecting different db vanishing moments and the EMD ...
许昕, 潘宏侠
doaj
An Experimental Method for Bio-Signal Denoising Using Unconventional Sensors. [PDF]
Aviles-Espinosa R +2 more
europepmc +1 more source
A novel near‐infrared‐II fluorescent imaging capsule endoscope that detects specific fluorescence signals above 900 nm enables highly sensitive, targeted imaging of gastrointestinal cancer tissue. This wirelessly powered and magnetically controlled “smart pill” achieves high sensitivity and deep tissue penetration, allowing precise, non‐invasive ...
Weicheng Wang +10 more
wiley +1 more source

