Suchergebnisse - stacking denoising sparse autoencoder*

A neural convolutional network intrusion detection model based on autoencoder dimension reduction

Autoren: SUN Jing DING Jiawei FENG Guanghui

Quelle: Dianxin kexue, Vol 41, Pp 129-138 (2025)

Schlagwörter: network attack, intrusion detection model, stacking denoising sparse autoencoder, convolutional attention mechanism, residual network, Telecommunication, TK5101-6720, Technology

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1000-0801

Zugangs-URL: https://doaj.org/article/342a07987715452a83672954a94cd12f

Research of stacked denoising sparse autoencoder

Autoren: Jian Zhang Shifei Ding Nan Zhang et al.

Quelle: Neural Computing and Applications. 30:2083-2100

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

Zugangs-URL: https://link.springer.com/article/10.1007/s00521-016-2790-x
https://dblp.uni-trier.de/db/journals/nca/nca30.html#MengD0018

一种基于自编码器降维的神经卷积网络入侵检测模型. (Chinese)

Alternate Title: A neural convolutional network intrusion detection model based on autoencoder dimension reduction. (English)

Autoren: 孙敬 丁嘉伟 冯光辉

Quelle: Telecommunications Science; 2025, Vol. 41 Issue 2, p129-138, 10p

Research of stacked denoising sparse autoencoder.

Autoren: Meng, Lingheng Ding, Shifei Zhang, Nan et al.

Quelle: Neural Computing & Applications; Oct2018, Vol. 30 Issue 7, p2083-2100, 18p

Schlagwörter: SIGNAL denoising, ARTIFICIAL intelligence, MACHINE learning, DEEP learning, ENCODING

Study of anomaly registration detection based on multilayer kernel autoencoder extreme learning machine model.

Autoren: Gu, Zhengmin Guo, Lang Huang, Jie et al.

Quelle: Scientific Reports. 11/21/2025, Vol. 15 Issue 1, p1-14. 14p.

Schlagwörter: *ANOMALY detection (Computer security), *MACHINE learning, *DEEP learning, *RESOURCE allocation, *MEDICAL informatics, *DIMENSIONAL reduction algorithms, *FEATURE extraction, *AUTOENCODERS

Incipient fault detection and process monitoring of thermal power plant pulverizing system based on deep representation learning.

Autoren: Zeng, Lei Zhang, Xin Yu, Ke et al.

Quelle: Transactions of the Institute of Measurement & Control. Nov2025, Vol. 47 Issue 15, p3111-3123. 13p.

Schlagwörter: *FAULT diagnosis, *DEEP learning, *STEAM power plants, *K-nearest neighbor classification, *PROCESS control systems, *FEATURE extraction

Building feature space of extreme learning machine with sparse denoising stacked-autoencoder.

Autoren: Cao, Le-le Huang, Wen-bing Sun, Fu-chun

Quelle: Neurocomputing. Jan2016 Part A, Vol. 174, p60-71. 12p.

Schlagwörter: *FEATURE extraction, *MACHINE learning, *SIGNAL denoising, *GENERALIZATION, *MATHEMATICAL transformations, *REGRESSION analysis

A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop.

Autoren: Daoyuan Liu Yu Guo Shaohua Huang et al.

Quelle: International Journal of Production Research; May2023, Vol. 61 Issue 10, p3346-3259, 14p

Schlagwörter: DATA distribution, PREDICTION models, FORECASTING, PRODUCTION planning, INTERNET of things

Recognition of cognitive load with a stacking network ensemble of denoising autoencoders and abstracted neurophysiological features.

Autoren: Cao, Zixuan Yin, Zhong Zhang, Jianhua

Quelle: Cognitive Neurodynamics; Jun2021, Vol. 15 Issue 3, p425-437, 13p

Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier.

Autoren: Liu J Xu L Xie Y et al.

Quelle: IEEE transactions on cybernetics [IEEE Trans Cybern] 2023 Jan; Vol. 53 (1), pp. 428-442. Date of Electronic Publication: 2022 Dec 23.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101609393 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2168-2275 (Electronic) Linking ISSN: 21682267 NLM ISO Abbreviation: IEEE Trans Cybern Subsets: PubMed not MEDLINE; MEDLINE

Static hand gesture recognition using stacked Denoising Sparse Autoencoders.

Autoren: Kumar, Varun Nandi, G.C. Kala, Rahul

Quelle: 2014 Seventh International Conference on Contemporary Computing (IC3); 2014, p99-104, 6p

Fast Dual Deep Convolutional Autoencoder Network for Denoising Monte Carlo Rendering.

Autoren: Alzbier, Ahmed Mustafa Taha Chunyi Chen Zhongye Shen et al.

Quelle: Journal of Imaging Science & Technology; May/Jun2023, Vol. 67 Issue 3, p1-12, 12p

Low-dose CT image denoising using sparse 3d transformation with probabilistic non-local means for clinical applications.

Autoren: Chyophel Lepcha, Dawa Goyal, Bhawna Dogra, Ayush

Quelle: Imaging Science Journal; Mar2023, Vol. 71 Issue 2, p97-109, 13p

Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE.

Autoren: Sun, Jiedi Liu, Zhao Wen, Jiangtao et al.

Quelle: Structural Health Monitoring; Jul2023, Vol. 22 Issue 4, p2856-2867, 12p

Schlagwörter: ARTIFICIAL neural networks, NATURAL gas pipelines, GAS leakage, LEAKAGE, FEATURE extraction, LEAK detection

Conditional Generative Denoising Autoencoder.

Autoren: Karatsiolis, Savvas Schizas, Christos N.

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Oct2020, Vol. 31 Issue 10, p4117-4129, 13p

Schlagwörter: MONTE Carlo method, MARKOV chain Monte Carlo, SIGNAL denoising, SUPERVISED learning

End-to-end algorithm research in PACT — from signal processing to reconstruction solution to image processing: A review.

Autoren: Cheng, JinJin Wang, Shuilin Dong, Shirui et al.

Quelle: Journal of Innovative Optical Health Sciences; Jul2025, Vol. 18 Issue 4, p1-43, 43p

Intelligent fault prediction and diagnosis for wind-powered heating systems using graph neural networks.

Autoren: Wang Y Zhao J Tang D et al.

Quelle: Scientific reports [Sci Rep] 2025 Nov 07; Vol. 15 (1), pp. 39068. Date of Electronic Publication: 2025 Nov 07.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges.

Autoren: Zuev VA Salmagambetova EG Djakov SN et al.

Quelle: Journal of medical systems [J Med Syst] 2025 Oct 20; Vol. 49 (1), pp. 142. Date of Electronic Publication: 2025 Oct 20.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE

MeSH-Schlagworte: Electroencephalography*/methods , Epilepsy*/diagnosis , Epilepsy*/physiopathology , Video Recording*/methods, Humans ; Machine Learning

A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM.

Autoren: Gao, Xile Luo, Haiyong Wang, Qu et al.

Quelle: Sensors (14248220); Feb2019, Vol. 19 Issue 4, p947-1, 1p

Schlagwörter: HUMAN activity recognition, SIGNAL denoising, FEATURE extraction, MATHEMATICAL combinations, ARTIFICIAL neural networks

Denoising deep extreme learning machine for sparse representation.

Autoren: Cheng, Xiangyi Liu, Huaping Xu, Xinying et al.

Quelle: Memetic Computing; Sep2017, Vol. 9 Issue 3, p199-212, 14p