Výsledky vyhledávání - Stack Conventional Denoising Autoencoder

Automatic fault diagnosis of rolling bearings under multiple working conditions based on unsupervised stack denoising autoencoder.

Autoři: Wang, Lei Rao, Hang Dong, Zhengcheng a další

Zdroj: Structural Health Monitoring; Sep2024, Vol. 23 Issue 5, p3084-3104, 21p

Témata: AUTOENCODERS, DEEP learning, ROLLER bearings, DIAGNOSIS, ALGORITHMS, FEATURE extraction

Multimodal Deep Learning for Alzheimer’s Disease Diagnosis: Integrating Neuroimaging and Genetic Data.

Autoři: Rahman, Md Jubaer Nipa, Romana Nourin

Zdroj: Journal of Computer Science & Technology Studies; Mar/Apr2025, Vol. 7 Issue 2, p284-293, 10p

Témata: SINGLE nucleotide polymorphisms, ALZHEIMER'S disease, AUTOENCODERS, SUPPORT vector machines, K-nearest neighbor classification, DEEP learning

Bearing Fault Vibration Signal Denoising Based on Adaptive Denoising Autoencoder.

Autoři: Lu, Haifei Zhou, Kedong He, Lei

Zdroj: Electronics (2079-9292); Jun2024, Vol. 13 Issue 12, p2403, 14p

Témata: SIGNAL denoising, SIGNAL-to-noise ratio, ROLLER bearings, FAULT diagnosis, RESEARCH personnel

Random noise attenuation of ocean bottom seismometers based on a substep deep denoising autoencoder.

Autoři: Lin, Haoran Xu, Jian Xing, Lei a další

Zdroj: Geophysical Prospecting; May2024, Vol. 72 Issue 4, p1428-1441, 14p

Témata: OCEAN bottom, SEISMOMETERS, MICROSEISMS, SIGNAL-to-noise ratio, SUPERVISED learning, SPECTRUM analysis

An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder.

Autoři: Zhou, Shenghan He, Zhao Chen, Xu a další

Zdroj: Aerospace (MDPI Publishing); May2024, Vol. 11 Issue 5, p393, 20p

Témata: INTRUSION detection systems (Computer security), DECOMPOSITION method, FEATURE extraction, DEEP learning, DRONE aircraft, DATA extraction

Future Internet Applications in Healthcare: Big Data-Driven Fraud Detection with Machine Learning.

Autoři: Fourkiotis, Konstantinos P. Tsadiras, Athanasios

Zdroj: Future Internet; Oct2025, Vol. 17 Issue 10, p460, 24p

Témata: MACHINE learning, ARTIFICIAL intelligence, HEALTH care industry, DATA scrubbing, WEB-based user interfaces, FRAUD investigation, BIG data

DC Disturbance Classification Method Based on Compressed Sensing and Encoder.

Autoři: Yu, Huanan Zhang, Xiang Wang, Jian

Zdroj: Energy Engineering; 2025, Vol. 122 Issue 12, p5055-5071, 17p

Témata: COMPRESSED sensing, POWER quality disturbances, DIMENSIONAL reduction algorithms, SIGNAL reconstruction, SIGNAL processing, HYBRID power, FEATURE extraction

An EDCC-EMD analysis-based network for DAS VSP data denoising in frequency domain.

Autoři: Huan-Huan Tang Shi-Jun Cheng Wu-Qun Li a další

Zdroj: Petroleum Science (KeAi Communications Co.); May2025, Vol. 22 Issue 5, p1929-1945, 17p

Témata: VERTICAL seismic profiling, SEISMIC prospecting, SIGNAL separation, DEEP learning, STATISTICAL correlation, HILBERT-Huang transform, RANDOM noise theory

Robust and Fast Temperature Extraction for Brillouin Optical Time-Domain Analyzer by Using Denoising Autoencoder-Based Deep Neural Networks.

Autoři: Wang, Biwei Guo, Nan Wang, Liang a další

Zdroj: IEEE Sensors Journal; Apr2020, Vol. 20 Issue 7, p3614-3620, 7p

Digital Image Forgery Detection Using Cyclic Symmetry Convolutional Neural Network.

Autoři: S., Shashikala G. K., Ravikumar

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 1, p368-379, 12p

Témata: CONVOLUTIONAL neural networks, FEATURE selection, DIGITAL images, FEATURE extraction, AUTOENCODERS

Multimodal Deep Learning for Alzheimer’s Disease Diagnosis: Integrating Neuroimaging and Genetic Data

Autoři: Md Jubaer Rahman Romana Nourin Nipa

Zdroj: Journal of Computer Science and Technology Studies; Vol. 7 No. 2; 284-293; 2709-104X

Témata: Deep Learning, Alzheimer’s Disease, Alzheimer's Disease Neuroimaging Initiative (ADNI), Genetic Data, cognitively normal (CN)., info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://al-kindipublisher.com/index.php/jcsts/article/view/9204
https://al-kindipublisher.com/index.php/jcsts/article/view/9204/7882
https://al-kindipublisher.com/index.php/jcsts/article/view/9204/7882

Flood Disaster Assessment Method Based on a Stacked Denoising Autoencoder.

Autoři: Chen, Yanping Wang, Yilun Wu, Zhize a další

Zdroj: Electronics (2079-9292); Sep2023, Vol. 12 Issue 18, p3839, 21p

Témata: HAZARD mitigation, EXTREME weather, FLOOD damage, FLOOD risk, RAINFALL, FLOODS, DISASTERS, LINEAR network coding

Geografický termín: HENAN Sheng (China)

Probabilistic Stacked Denoising Autoencoder for Power System Transient Stability Prediction With Wind Farms.

Autoři: Su, Tong Liu, Youbo Zhao, Junbo a další

Zdroj: IEEE Transactions on Power Systems; Jul2021, Vol. 36 Issue 4, p3786-3789, 4p

Témata: ELECTRIC transients, WIND power plants, SIGNAL denoising, INDUCTION generators, FORECASTING

Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder.

Autoři: Xiong, Yihui Zuo, Renguang

Zdroj: Mathematical Geosciences; Apr2022, Vol. 54 Issue 3, p623-644, 22p

A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion.

Autoři: Ghosh, Swarup Kr Biswas, Biswajit Ghosh, Anupam

Zdroj: Evolutionary Intelligence; Mar2021, Vol. 14 Issue 1, p133-149, 17p

A seismic random noise suppression method based on self-supervised deep learning and transfer learning.

Autoři: Wu, Tianqi Meng, Xiaohong Liu, Hong a další

Zdroj: Acta Geophysica; Apr2024, Vol. 72 Issue 2, p655-671, 17p

Témata: MICROSEISMS, TRANSFER of training, DEEP learning, SUPERVISED learning, DATA scrubbing, INDUCTIVE effect

Semi-Supervised Cross-Subject Emotion Recognition Based on Stacked Denoising Autoencoder Architecture Using a Fusion of Multi-Modal Physiological Signals.

Autoři: Luo, Junhai Tian, Yuxin Yu, Hang a další

Zdroj: Entropy; May2022, Vol. 24 Issue 5, pN.PAG-N.PAG, 29p

Témata: EMOTION recognition, MULTISENSOR data fusion, MULTIMODAL user interfaces, EMOTIONAL state, FEATURE selection, ELECTROENCEPHALOGRAPHY, EMOTIONS

Stacked denoising autoencoder‐based feature learning for out‐of‐control source recognition in multivariate manufacturing process.

Autoři: Yu, Jianbo Zheng, Xiaoyun Wang, Shijin

Zdroj: Quality & Reliability Engineering International; Feb2019, Vol. 35 Issue 1, p204-223, 20p, 5 Diagrams, 8 Charts, 6 Graphs

Témata: SIGNAL denoising, MULTIVARIATE analysis, MANUFACTURING processes, DEEP learning, PATTERN perception, IMAGE analysis

A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder.

Autoři: Pan, Penghao Zhao, Dong Li, Yueyang

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment (Sage Publications, Ltd.); Aug2023, Vol. 237 Issue 3, p625-636, 12p

Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising.

Autoři: Chen, Siheng Eldar, Yonina C. Zhao, Lingxiao

Zdroj: IEEE Transactions on Signal Processing; 11/15/2021, p3699-3713, 15p

Témata: SIGNAL processing, GRAPH algorithms, ALGORITHMS, KERNEL functions, SIGNAL denoising, LEARNING ability