Výsledky vyhledávání - stacked denoising autoencoder model*

Prediction of psychophysiological perception of driver in road tunnel using particle swarm optimization improved stacked denoising autoencoder model

Autoři: Can Qin Bo Liang Jia'an Niu a další

Zdroj: Array, Vol 27, Iss , Pp 100475- (2025)

Témata: Lighting environment of road tunnel, Stacked denoising autoencoder, Particle swarm optimization, Information representation, Psychophysiological perception, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S259000562500102X; https://doaj.org/toc/2590-0056

Přístupová URL adresa: https://doaj.org/article/42d2b7245a534844bd1edcf6bbf34507

Accurate estimation of state of charge and state of health of electric vehicle power batteries based on dynamic channel pruning informer-stacked denoising autoencoder model.

Autoři: Peng, Ziran Wang, Shunhao Zhang, Shengchun a další

Zdroj: Electrical Engineering. Jan2026, Vol. 108 Issue 1, p1-19. 19p.

Prediction of Recurrence using a Stacked Denoising Autoencoder and Multifaceted Feature Analysis of Pretreatment MRI in Patients with Nasopharyngeal Carcinoma

Autoři: Yibin, Liu Xianwen, Wang Jiongyi, Li a další

Zdroj: Current Radiopharmaceuticals. 18:224-243

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40237056

CLPM: A Cooperative Link Prediction Model for Industrial Internet of Things Using Partitioned Stacked Denoising Autoencoder

Autoři: Lanlan Rui Yu Zhu Zhipeng Gao a další

Zdroj: IEEE Transactions on Industrial Informatics. 17:3620-3629

Témata: 9. Industry and infrastructure, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9105066/
https://doi.org/10.1109/TII.2020.2999318
https://dblp.uni-trier.de/db/journals/tii/tii17.html#RuiZGQ21

Identification of Cancer Mediating Biomarkers using Stacked Denoising Autoencoder Model - An Application on Human Lung Data

Autoři: Anupam Ghosh Ranjan Ghosh Amlan Chakrabarti a další

Zdroj: Procedia Computer Science. 167:686-695

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S1877050920308073

Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences

Autoři: Jorge García-González Juan M. Ortiz-de-Lazcano-Lobato Rafael M. Luque-Baena a další

Zdroj: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Témata: Ruido - Detección automática, 4. Education, Background modeling, 0202 electrical engineering, electronic engineering, information engineering, Vídeo, Foreground detection, 02 engineering and technology, 15. Life on land

Přístupová URL adresa: https://hdl.handle.net/10630/29697
http://ui.adsabs.harvard.edu/abs/2019PaReL.125..481G/abstract
https://dblp.uni-trier.de/db/journals/prl/prl125.html#Garcia-Gonzalez19
https://www.sciencedirect.com/science/article/pii/S0167865518307244

Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders

Autoři: García-González, Jorge Ortiz-de-Lazcano-Lobato, Juan Miguel Luque-Baena, Rafael Marcos a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783030196509
RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga
instname

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Congresos y conferencias, Background modeling, Deep learning, 02 engineering and technology, Autoencoders, Lenguajes de ordenadores, Computación, Teoría de la

Přístupová URL adresa: https://riuma.uma.es/xmlui/bitstream/10630/17830/1/Background_modeling_by_shifted_tilings_of_stacked_denoising_autoencoders-2.pdf
https://hdl.handle.net/10630/17830
https://dblp.uni-trier.de/db/conf/iwinac/iwinac2019-2.html#Garcia-Gonzalez19
https://link.springer.com/chapter/10.1007%2F978-3-030-19651-6_30
https://riuma.uma.es/xmlui/bitstream/10630/17830/1/Background_modeling_by_shifted_tilings_of_stacked_denoising_autoencoders-2.pdf
https://rd.springer.com/chapter/10.1007/978-3-030-19651-6_30
https://riuma.uma.es/xmlui/handle/10630/17830

Traffic Image Analysis Based on Stacked Denoising Autoencoder Neural Network

Autoři: Daehyon Kim

Zdroj: Journal of Innovation Information Technology and Application, Vol 5, Iss 2, Pp 183-192 (2023)

Témata: autoencoding, deep belief network, neural network, Electronic computers. Computer science, 0502 economics and business, 05 social sciences, stacked denoising, 0202 electrical engineering, electronic engineering, information engineering, Information technology, QA75.5-76.95, 02 engineering and technology, T58.5-58.64, backpropagation

Přístupová URL adresa: https://doaj.org/article/fabc870fc1524bf4a89ecb4aaed0ca7a

Intelligent Detection of Railway Axles Fatigue Crack Using Acoustic Emission-Stacked Denoising Autoencoders.

Autoři: Lin, Li Zhao, Shuang Tang, Xiaowen a další

Zdroj: Journal of Nondestructive Evaluation. Dec2025, Vol. 44 Issue 4, p1-22. 22p.

Témata: *FATIGUE cracks, *ACOUSTIC emission, *DEEP learning, *NONDESTRUCTIVE testing, *DETECTION algorithms, *FEATURE extraction, *AXLES

Application of deep neural network with stacked denoising autoencoder for ECG signal classification

Autoři: Gunawan Gunawan Aminnur Aimar Akbar Wresti Andriani

Zdroj: Journal of Intelligent Decision Support System (IDSS). 7:173-187

Stepwise inertial intelligent control for wind power frequency support based on modified stacked denoising autoencoder

Autoři: Tao Zhou Yalun Wang Hao Quan a další

Zdroj: Energy Reports, Vol 8, Iss, Pp 946-957 (2022)

Témata: Secondary frequency drop, Stepwise inertial control, Adamax optimization, Sparrow search algorithm, Modified stacked denoising autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, TK1-9971

Přístupová URL adresa: https://doaj.org/article/e2213d1e01814cd191a81dbf57319281

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

Autoři: Jianxin Lin Xuchang Wang Huaiyuan Wang

Zdroj: Processes ; Volume 13 ; Issue 11 ; Pages: 3673

Témata: high-impedance fault (HIF), distribution network, denoise, stacked denoising autoencoder (SDAE), attention mechanism, energy proportion guidance

Geografické téma: agris

Popis souboru: application/pdf

Relation: Energy Systems; https://dx.doi.org/10.3390/pr13113673

Dostupnost: https://doi.org/10.3390/pr13113673

Identification Method for Missing Cotter Pins in Catenary Systems Based on Stacked Denoising Autoencoder Network

Autoři: SHAN Chonghao

Zdroj: Chengshi guidao jiaotong yanjiu, Vol 27, Iss 10, Pp 274-279 (2024)

Témata: metro, catenary, cotter pin, yolo v5 algorithm, stacked denoising autoencoder, Transportation engineering, TA1001-1280

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1007-869X

Přístupová URL adresa: https://doaj.org/article/1e4b6be3a39145f5af24cbf54545d3c4

RHCBAM-based stacked denoising autoencoder for wind turbine misalignment fault detection

Autoři: Dian Long Yancai Xiao Aixin Dai a další

Zdroj: Measurement Science and Technology. 36:086143

Physics-Informed Denoising Model for Dynamic Data Recovery of Power Systems

Autoři: Jian Li Guoqiang Lu Yongbin Li a další

Zdroj: IEEE Access, Vol 13, Pp 12002-12013 (2025)

Témata: denoising and physics-informed method, Electrical engineering. Electronics. Nuclear engineering, stacked denoising auto-encoder, Data recovery, TK1-9971

Přístupová URL adresa: https://doaj.org/article/bf7872496bc74cc1940182d22b2aea77

Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders

Autoři: Weichao Dong Hexu Sun Zheng Li a další

Zdroj: IEEE Access, Vol 8, Pp 146901-146914 (2020)

Témata: multiscale mathematical morphological decomposition, short-term wind-speed forecasting, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, K-means clustering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, stacked denoising autoencoders, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163090.pdf
https://doaj.org/article/080a81e4e4bd4b88a6dd0f8a63710a2d
https://ieeexplore.ieee.org/document/9163090
https://dblp.uni-trier.de/db/journals/access/access8.html#DongSLZY20
https://doaj.org/article/080a81e4e4bd4b88a6dd0f8a63710a2d

SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder

Autoři: Al Moubayed, N. Breckon, T.P. Matthews, P.C. a další

Přispěvatelé: Al Moubayed, N. Breckon, T.P. Matthews, P.C. a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783319447803
Villa, Alessandro E.P. & Masulli, Paolo & Pons Rivero, Antonio J. (Eds.). (2016). Artificial neural networks and machine learning – ICANN 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016 ; proceedings. Part II. Cham: Springer, pp. 423-430, Lecture notes in computer science(9886)

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, 02 engineering and technology, Neural and Evolutionary Computing (cs.NE), 0101 mathematics, 01 natural sciences, Computation and Language (cs.CL), Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://dro.dur.ac.uk/19126/1/19126.pdf
http://arxiv.org/abs/1606.05554
https://link.springer.com/chapter/10.1007%2F978-3-319-44781-0_50
http://dro.dur.ac.uk/19126/
https://arxiv.org/abs/1606.05554
https://ui.adsabs.harvard.edu/abs/2016arXiv160605554M/abstract
https://dro.dur.ac.uk/19126/
https://arxiv.org/pdf/1606.05554v1

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

Autoři: Shenghan Zhou Zhao He Xu Chen a další

Zdroj: Aerospace, Vol 11, Iss 5, p 393 (2024)

Témata: anomaly detection, wavelet decomposition, stacked denoising autoencoder (SDAE), UAV flight data, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2226-4310/11/5/393; https://doaj.org/toc/2226-4310

Přístupová URL adresa: https://doaj.org/article/b2f8b29b20824d4b8e1f34bc50790953

Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders

Autoři: Yang, Shuo Yin, Zhong Wang, Yagang a další

Zdroj: Computers in Biology and Medicine

Témata: Human machine systems, Databases, Factual, Stacked denoising autoencoders, Models, Neurological, Deep learning, Electroencephalography, 02 engineering and technology, Mental workloads, 03 medical and health sciences, Cognition, Deep Learning, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Humans, Electroencephalograms

Popis souboru: application/pdf

Přístupová URL adresa: https://oda.oslomet.no/oda-xmlui/bitstream/10642/8300/1/Assessing%2bcognitive%2bmental%2bworkload%2bvia%2bEEG%2bsignals%2band%2ban%2bensemble%2bdeep%2blearning%2bclassifier%2bbased%2bon%2bdenoising%2bautoencoders.pdf
https://pubmed.ncbi.nlm.nih.gov/31059900
https://dblp.uni-trier.de/db/journals/cbm/cbm109.html#YangYWZWZ19
https://europepmc.org/article/MED/31059900
https://pubmed.ncbi.nlm.nih.gov/31059900/
https://doi.org/10.1016/j.compbiomed.2019.04.034
https://www.ncbi.nlm.nih.gov/pubmed/31059900
https://www.sciencedirect.com/science/article/pii/S0010482519301428
https://hdl.handle.net/10642/8300

SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder

Autoři: Moubayed, Noura Al Breckon, Toby Matthews, Peter a další

Témata: Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/1606.05554