Výsledky vyhledávání - Stacked denoising convolution autoencoder

Temporal denoising and deep feature learning for enhanced defect detection in thermography using stacked denoising convolution autoencoder

Autoři: Naga Prasanthi Yerneni V.S. Ghali G.T. Vesala a další

Zdroj: Infrared Physics & Technology. 143:105612

Enhanced defect detection in thermography through temporal denoising and deep feature extraction using a shallow convolution autoencoder

Autoři: Y Naga Prasanthi V S Ghali G T Vesala a další

Zdroj: Insight - Non-Destructive Testing and Condition Monitoring. 67:162-171

Gaussian Mixture with Max Expectation Guide for Stacked Architecture of Denoising Autoencoder and DRBM for Medical Chest Scans and Disease Identification

Autoři: Mona Jamjoom Abeer M. Mahmoud Safia Abbas a další

Zdroj: Electronics; Volume 12; Issue 1; Pages: 105

Témata: 03 medical and health sciences, 0302 clinical medicine, deep learning, pneumonia prediction, Gaussian mixture, convolution autoencoder, Boltzmann machine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Popis souboru: application/pdf

Intelligent fault diagnosis method of rolling bearing based on stacked denoising autoencoder and convolutional neural network

Autoři: Changchang Che Xiaomei Ni Qiang Fu a další

Zdroj: Industrial Lubrication and Tribology. 72:947-953

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.emerald.com/insight/content/doi/10.1108/ILT-11-2019-0496/full/html

Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder.

Autoři: Zhang, Chengyi Yu, Jianbo Wang, Shijin

Zdroj: International Journal of Production Research. Apr2021, Vol. 59 Issue 8, p2426-2449. 24p. 2 Color Photographs, 3 Diagrams, 15 Charts, 4 Graphs.

Témata: *ARTIFICIAL neural networks, *MANUFACTURING processes, CONVOLUTIONAL neural networks, SIGNAL convolution, FAULT diagnosis, SIGNAL processing, DEEP learning, CONVEYOR belts

Anomaly Detection Through Deep Feature Extraction for Automatic Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging.

Autoři: Yerneni, Naga Prasanthi Ghali, V. S. Swapna, M. N. a další

Zdroj: Russian Journal of Nondestructive Testing. Apr2025, Vol. 61 Issue 4, p481-489. 9p.

Témata: *DEEP learning, *AUTOENCODERS, *FEATURE extraction, *OUTLIER detection, *DEFECT tracking (Computer software development), *THERMOGRAPHY

Enhanced defect detection in thermography through temporal denoising and deep feature extraction using a shallow convolution autoencoder.

Autoři: Prasanthi, Y. Naga Ghali, V. S. Vesala, G. T. a další

Zdroj: Insight: Non-Destructive Testing & Condition Monitoring; Mar2025, Vol. 67 Issue 3, p162-171, 10p

Physics-Informed SDAE-Based Denoising Model for High-Impedance Fault Detection.

Autoři: Lin, Jianxin Wang, Xuchang Wang, Huaiyuan

Zdroj: Processes; Nov2025, Vol. 13 Issue 11, p3673, 23p

Témata: FAULT diagnosis, SIGNAL denoising, SIGNAL integrity (Electronics), ELECTRIC power distribution, SIGNAL processing, DISCRETE wavelet transforms

A QUANTUM CONVOLUTION AUTOENCODER FOR HANDWRITTEN LETTERS AND DIGITS: A CASE STUDY.

Autoři: SAWERWAIN, MAREK KOWAL, MAREK KORBICZ, JÓZEF

Zdroj: International Journal of Applied Mathematics & Computer Science; 2025, Vol. 35 Issue 4, p651-666, 16p

PARKINSON'S DISEASE CLASSIFICATION BASED ON STACKED DENOISING AUTOENCODER.

Autoři: SUKANYA, P. RAO, B. SRINIVASA

Zdroj: Computer Science; 2023, Vol. 24 Issue 4, p491-512, 22p

Témata: NOSOLOGY, PARKINSON'S disease, BRAIN degeneration, NEUROLOGICAL disorders, DEEP brain stimulation, DATA augmentation

Intelligent fault diagnosis method of rolling bearing based on stacked denoising autoencoder and convolutional neural network.

Autoři: Che, Changchang Wang, Huawei Ni, Xiaomei a další

Zdroj: Industrial Lubrication & Tribology; 2020, Vol. 72 Issue 7, p947-953, 7p

Témata: CONVOLUTIONAL neural networks, FAULT diagnosis, ROLLER bearings, DIAGNOSIS, TIME series analysis, GOLGI apparatus

Visual saliency detection via invariant feature constrained stacked denoising autoencoder.

Autoři: Ma, Yunpeng Yu, Zhihong Zhou, Yaqin a další

Zdroj: Multimedia Tools & Applications; Jul2023, Vol. 82 Issue 18, p27451-27472, 22p

Témata: PROBLEM solving, AUTOMORPHISMS, IMAGE reconstruction algorithms

Matrix factorization with denoising autoencoders for prediction of drug-target interactions.

Autoři: Sajadi SZ Zare Chahooki MA Tavakol M a další

Zdroj: Molecular diversity [Mol Divers] 2023 Jun; Vol. 27 (3), pp. 1333-1343. Date of Electronic Publication: 2022 Jul 23.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE

Výrazy ze slovníku MeSH: Algorithms* , Machine Learning*, Drug Interactions ; Research Design ; ROC Curve

Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing.

Autoři: Dai, Penglin Luo, Jingtao Zhao, Kangli a další

Zdroj: Neural Computing & Applications; Jul2023, Vol. 35 Issue 19, p14259-14274, 16p

Témata: MOBILE computing, EDGE computing, DEEP learning, CLOUD computing, ALGORITHMS, ORTHOGONAL matching pursuit

Gender Identification Using Marginalised Stacked Denoising Autoencoders on Twitter Data.

Autoři: Al-onazi, Badriyya B. Nour, Mohamed K. Alshamrani, Hassan a další

Zdroj: Intelligent Automation & Soft Computing; 2023, Vol. 36 Issue 3, p2529-2544, 16p

Témata: GENDER differences (Sociology)

Korporace: X Corp.

Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems.

Autoři: Fei, Zhengshun Wang, Jinglong Liu, Kangling a další

Zdroj: IET Cyber-systems & Robotics; Sep2023, Vol. 5 Issue 3, p1-16, 16p

Segmentation‐enhanced gamma spectrum denoising based on deep learning.

Autoři: Lu, Xiangqun Zheng, Hongzhi Liu, Yaqiong a další

Zdroj: IET Communications (Wiley-Blackwell); Jan2024, Vol. 18 Issue 1, p63-80, 18p

Témata: DEEP learning, HILBERT-Huang transform, GAMMA-ray scattering, ELECTRONIC noise, FEATURE extraction

Ground Target Recognition Using Carrier-Free UWB Radar Sensor With a Semi-Supervised Stacked Convolutional Denoising Autoencoder.

Autoři: Zhu, Yuying Zhang, Shuning Li, Xiaoxiong a další

Zdroj: IEEE Sensors Journal; 9/15/2021, Vol. 21 Issue 18, p20685-20693, 9p

A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques.

Autoři: Kumar, Santosh Kumar, Sunil Shafi, Mehak a další

Zdroj: Multimedia Tools & Applications; Sep2022, Vol. 81 Issue 21, p31075-31106, 32p

Témata: ENDANGERED species, FEATURE extraction, FACE, EXTRACTION techniques

Video surveillance image enhancement via a convolutional neural network and stacked denoising autoencoder.

Autoři: Che Aminudin, Muhamad Faris Suandi, Shahrel Azmin

Zdroj: Neural Computing & Applications; Feb2022, Vol. 34 Issue 4, p3079-3095, 17p

Témata: CONVOLUTIONAL neural networks, HUMAN facial recognition software, VIDEO surveillance, IMAGE intensifiers, SIGNAL-to-noise ratio, IMAGE fusion, DEEP learning, VIDEO codecs