Výsledky vyhledávání - Sparse denoised autoencoder*

Convolutional autoencoder-augmented sparse identification of noisy nonlinear fluid dynamics from unlabelled data

Autoři: Meng Zhang Fanfan Zeng Mustafa Z. Yousif a další

Zdroj: Physics of Fluids. 37

Convolutional autoencoder-augmented sparse identification of noisy nonlinear fluid dynamics from unlabelled data.

Autoři: Zhang, Meng Zeng, Fanfan Yousif, Mustafa Z. a další

Zdroj: Physics of Fluids; Sep2025, Vol. 37 Issue 9, p1-15, 15p

Témata: FLUID dynamics, AUTOENCODERS, NONLINEAR mechanics, FLOW simulations, TURBULENT flow, METADATA, SPARSE approximations, NOISE control

A denoising method for ECG signals based on CEEMDAN-TSO and stacked sparse autoencoders

Autoři: Shun Li Juan Li Jiandong Mao a další

Zdroj: Computers in Biology and Medicine. 188:109818

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39983358

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering

Autoři: Zhao, Haiyan Wu, Xuansheng Yang, Fan a další

Témata: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Computation and Language, Computation and Language (cs.CL)

Přístupová URL adresa: http://arxiv.org/abs/2505.15038

Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks

Autoři: Kai-Yuan Liu Xing-Yu Li Yu-Rui Lai a další

Zdroj: Machine Intelligence Research. 19:456-471

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: http://arxiv.org/abs/2111.10844

Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks

Autoři: Liu, Kaiyuan Li, Xingyu Lai, Yurui a další

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2111.10844

Adaptive mobilenetv3 with spatial attention-aided effective brain tumor classification approach using denoised image-based segmentation.

Autoři: Vijay, Kulkarni Sheetal Poornapushpakala, S.

Zdroj: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 6, p157-179, 23p

Témata: BRAIN tumors, CLASSIFICATION, IMAGE denoising, IMAGE segmentation, ATTENTION, CONVOLUTIONAL neural networks, MAGNETIC resonance imaging

AE-DD: Autoencoder-Driven Dictionary with Matching Pursuit for Joint ECG Denoising, Compression, and Morphology Decomposition.

Autoři: Samann, Fars Schanze, Thomas

Zdroj: AI; Sep2025, Vol. 6 Issue 9, p234, 17p

Témata: ELECTROCARDIOGRAPHY, SIGNAL denoising, MORPHOLOGY, MATHEMATICAL regularization, DATA compression, DATA extraction, ORTHOGONAL matching pursuit, AUTOENCODERS

Adversarial Defense for Medical Images.

Autoři: Tsai, Min-Jen Lee, Ya-Chu Lien, Hsin-Ying a další

Zdroj: Electronics (2079-9292); Nov2025, Vol. 14 Issue 22, p4384, 46p

Témata: DEEP learning, AUTOENCODERS, ARTIFICIAL intelligence, MEDICAL photography, SIGNAL denoising, IMAGE quality in imaging systems

scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

Autoři: Wang, Shuo Liu, Yuanning Zhang, Hao a další

Zdroj: Biology Direct; 5/27/2025, Vol. 20 Issue 1, p1-25, 25p

Témata: GRAPH neural networks, AUTOENCODERS, DEEP learning, K-nearest neighbor classification, SYSTEMS theory

Stacked Inexact Augmented Lagrangian Multiplier with Sparse and Low-Rank Matrix Decomposition: A Novel Low Sampling Vibration Signal Denoising Strategy for Enhancing Feature Quality to Predict Health State of Bearings Using Machine Learning Model.

Autoři: Popli, Gaurav Mukherjee, Avishek Pal, Surjya Kanta

Zdroj: Journal of Nondestructive Evaluation; Sep2025, Vol. 44 Issue 3, p1-37, 37p

Témata: MACHINE learning, SIGNAL processing, SPARSE matrices, LOW-rank matrices, MECHANICAL vibration research, RELIABILITY in engineering

Adaptive mobilenetv3 with spatial attention-aided effective brain tumor classification approach using denoised image-based segmentation

Autoři: Kulkarni Sheetal Vijay S. Poornapushpakala

Zdroj: International Journal of Innovative Research and Scientific Studies. 8:157-179

RETRACTED: DAE‐GAN: An autoencoder based adversarial network for Gaussian denoising.

Autoři: Samanta, Abhishek Saha, Aheli Satapathy, Suresh Chandra a další

Zdroj: Expert Systems; Feb2025, Vol. 42 Issue 2, p1-7, 7p

Témata: CONVOLUTIONAL neural networks, GENERATIVE adversarial networks, COMPUTER vision, DEEP learning, AUTOENCODERS, IMAGE denoising

Neutral Gas Phase Distribution from H I Morphology: Phase Separation with Scattering Spectra and Variational Autoencoders.

Autoři: Lei, Minjie Clark, S. E. Morel, Rudy a další

Zdroj: Astrophysical Journal; 2025, Vol. 993 Issue 1, p1-18, 18p

Témata: INTERSTELLAR medium, PHASE separation, HYDROGEN atom, SPECTRAL lines, SPATIAL arrangement, LATENT variables

Low-Rank Matrix Completion via Nonconvex Rank Approximation for IoT Network Localization.

Autoři: Li, Nana He, Ling Meng, Die a další

Zdroj: Electronics (2079-9292); Oct2025, Vol. 14 Issue 19, p3920, 18p

Témata: EUCLIDEAN distance, MULTIDIMENSIONAL scaling, MATHEMATICAL optimization, SPARSE matrices, WIRELESS geolocation systems, SIGNAL denoising

Improving OCTA Image Quality for Alzheimer's Diagnosis Using Autoencoder, Self-Attention and GANs.

Autoři: C. K., Madhu C. V., Aravinda S. V., Aruna Kumar a další

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 7, p1-17, 17p

Témata: GENERATIVE adversarial networks, ALZHEIMER'S disease, SPECKLE interference, OPTICAL coherence tomography, AUTOENCODERS, DEEP learning

SPARSE-OTFS-Net: A Sparse Robust OTFS Signal Detection Algorithm for 6G Ubiquitous Coverage.

Autoři: Ling, Yunzhi Xu, Jun

Zdroj: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3532, 17p

Témata: 6G networks, SIGNAL detection, DEEP learning, INTERFERENCE suppression, ELECTRONIC modulation, DOPPLER effect

Denoising Autoencoder Aided Spectrum Reconstruction for Colloidal Quantum Dot Spectrometers.

Autoři: Zhang, Jinhui Zhu, Xueyu Bao, Jie

Zdroj: IEEE Sensors Journal; Mar2021, Vol. 21 Issue 5, p6450-6458, 9p

基于复值卷积降噪自编码器去噪的矢量水听器 DOA估计方法. (Chinese)

Alternate Title: Vector Hydrophone DOA Estimation Method Based on Complex Valued Convolutional Denoising Autoencoder Denoising. (English)

Autoři: 任晶 谭秀辉 白艳萍 a další

Zdroj: Journal of Test & Measurement Technology; 2025, Vol. 39 Issue 4, p475-490, 9p

Shale Oil T 2 Spectrum Inversion Method Based on Autoencoder and Fourier Transform.

Autoři: Zhao, Jun Jiao, Shixiang Bai, Li a další

Zdroj: Geosciences (2076-3263); Oct2025, Vol. 15 Issue 10, p387, 16p

Témata: SHALE oils, AUTOENCODERS, MACHINE learning, EXPONENTIAL decay law, SIGNAL frequency estimation, PETROLEUM engineering, FOURIER transforms