Results 131 to 140 of about 26,456 (261)
Advanced Intelligent Discovery, EarlyView.This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Speech Denoising Using Mixed Transform
مجلة النهرين للعلوم الهندسية, 2017 This paper presents a mixed transform based speech denoising technique obtained by the combination of multicircularlet and slantlet transforms and thresholding algorithm.
Sadiq J. Abou-loukh, Ali K. Ibrahim
doaj
Signal denoising through topographic modularity
To navigate in a dynamic and noisy environment, the brain must create reliable and meaningful representations from sensory inputs that are often ambiguous, incomplete or corrupt. From these noisy inputs, cortical circuits extract the relevant features to forge a ground truth against which internally generated signals from inferential processes can be ...
Zajzon, Barna +3 more
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Vibration Signal Denoising Method Based on ICFO-SVMD and Improved Wavelet Thresholding. [PDF]
Sensors (Basel)Cui Y, He X, Wu Z, Zhang Q, Cao Y.
europepmc +1 more source
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
Advanced Intelligent Discovery, EarlyView.An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source
PDRNet: A Novel Physical Feature-Driven Residual Network for Motor Vibration Signal Denoising. [PDF]
Sensors (Basel)Yu K, Wu X, Yang M, Lin F, Liang Z.
europepmc +1 more source
Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage
Advanced Intelligent Discovery, EarlyView.We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen +5 more
wiley +1 more source
LRR-UNet: A Deep Unfolding Network With Low-Rank Recovery for EEG Signal Denoising. [PDF]
CNS Neurosci TherYue X, Lu L, Liu H, Zang Y.
europepmc +1 more source
Evolutionary multifractal signal/image denoising
, 2007 This chapter investigates the use of Evolutionary techniques for multifractal signal/image denoising. Two strategies are considered: using evolution as a pure stochastic optimiser, or using interactive evolution for a meta-optimisation task. Both strategies are complementary as they allow to address dierent aspects of signal/image denoising.
Lutton, Evelyne, Lévy Véhel, Jacques
openaire +1 more source