Search Results - stacked denoising autoencoder model

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

Authors: Can Qin Bo Liang Jia'an Niu et al.

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

Subject Terms: 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

File Description: electronic resource

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

Access URL: 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.

Authors: Peng, Ziran Wang, Shunhao Zhang, Shengchun et al.

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

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

Authors: Anupam Ghosh Ranjan Ghosh Amlan Chakrabarti et al.

Source: Procedia Computer Science. 167:686-695

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

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

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

Authors: Liu Y Wang X Li J et al.

Source: Current radiopharmaceuticals [Curr Radiopharm] 2025; Vol. 18 (3), pp. 224-243.

Publication Type: Journal Article

Journal Info: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 101468718 Publication Model: Print Cited Medium: Internet ISSN: 1874-4729 (Electronic) Linking ISSN: 18744710 NLM ISO Abbreviation: Curr Radiopharm Subsets: MEDLINE

MeSH Terms: Nasopharyngeal Carcinoma*/diagnostic imaging , Nasopharyngeal Carcinoma*/radiotherapy , Nasopharyngeal Carcinoma*/pathology , Magnetic Resonance Imaging*/methods , Neoplasm Recurrence, Local*/diagnostic imaging , Nasopharyngeal Neoplasms*/diagnostic imaging , Nasopharyngeal Neoplasms*/radiotherapy , Nasopharyngeal Neoplasms*/pathology, Humans ; Female ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Radiotherapy, Intensity-Modulated ; Aged ; Deep Learning ; Autoencoder

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

Authors: Sheet, Sougata Ghosh, Anupam Ghosh, Ranjan et al.

Source: Procedia Computer Science. 2020, Vol. 167, p686-695. 10p.

Subject Terms: Gene expression profiling, Gaussian mixture models, Biomarkers, Support vector machines, Gene expression, Feature selection

Traceability and analysis method for measurement laboratory testing data based on intelligent Internet of Things and deep belief network

Authors: He PeiDong Li XiaoJun Shen WenQi et al.

Source: Journal of Intelligent Systems, Vol 33, Iss 1, Pp 6821-30 (2024)

Subject Terms: intelligent iot, deep belief network, metrology laboratory, data traceability, abnormal analysis, stacked denoising autoencoder model, cosine similarity, gaussian bernoulli restricted boltzmann machine, cloud-management-edge-end, Science, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2191-026X

Access URL: https://doaj.org/article/b2a8183e0b4746a7aaeba8a4f7b0893c

Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation

Authors: Dai, T Yan, W Zhang, K et al.

Index Terms: 01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering, Journal Article

URL: http://hdl.handle.net/10453/155696
Expert Systems with Applications
10.1016/j.eswa.2021.115359

A novel fault early warning method for centrifugal blowers based on stacked denoising autoencoder and transfer learning.

Authors: Zhang, You Li, Congbo Tang, Ying et al.

Source: Journal of Manufacturing Systems. Oct2024, Vol. 76, p443-456. 14p.

Subject Terms: *PROBLEM solving, HEALTH status indicators, LEARNING ability, NOISE

Health condition identification for rolling bearing using a multi-domain indicator-based optimized stacked denoising autoencoder

Authors: Xiaoan Yan Minping Jia Ying Liu

Source: Structural Health Monitoring. 19:1602-1626

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Access URL: https://journals.sagepub.com/doi/10.1177/1475921719893594

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification

Authors: Yuhong Zhang Shuai Yang Peipei Li et al.

Source: IEEE Access, Vol 7, Pp 143015-143024 (2019)

Subject Terms: Domain adaptation, noise probability, 0202 electrical engineering, electronic engineering, information engineering, mSDA, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 01 natural sciences, adaptive parameter, TK1-9971, 0105 earth and related environmental sciences

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08751976.pdf
https://doaj.org/article/5f4ca647e10541af9c694beff246d4a6
https://dblp.uni-trier.de/db/journals/access/access7.html#ZhangYLHW19

Stacked Denoising Autoencoder network for short-term prediction of electrical Algerian load

Authors: Chelabi, Hiba Khadir, Mohamed Tarek Chikhaoui, Belkacem

Index Terms: Communications dans des actes de congrès/colloques, PeerReviewed

URL: https://r-libre.teluq.ca/1966/
https://r-libre.teluq.ca/1966
10.1109/CoDIT49905.2020.9263850

Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information

Authors: Wu, Zhize Weise, Thomas Zou, Le et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2003.05684

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

Authors: SHAN Chonghao

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/1e4b6be3a39145f5af24cbf54545d3c4

Financial Market Directional Forecasting With Stacked Denoising Autoencoder

Authors: Lv, Shaogao Hou, Yongchao Zhou, Hongwei

Index Terms: Quantitative Finance - Computational Finance, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1912.00712

Traffic Image Analysis Based on Stacked Denoising Autoencoder Neural Network

Authors: Daehyon Kim

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

Subject Terms: neural network, stacked denoising, autoencoding, deep belief network, backpropagation, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://ejournal.pnc.ac.id/index.php/jinita/article/view/2133; https://doaj.org/toc/2716-0858; https://doaj.org/toc/2715-9248

Access URL: https://doaj.org/article/fabc870fc1524bf4a89ecb4aaed0ca7a

A deep learning approach to urban street functionality prediction based on centrality measures and stacked denoising autoencoder

Authors: Noori, Fatemeh Kamangir, Hamid King, Scott A. et al.

Source: PolyPublie

Index Terms: 1000 Génie civil, 1003 Génie du transport, Article de revue, PeerReviewed

URL: https://publications.polymtl.ca/9390/1/2020_Noori_Deep_Learning_Approach_Urban_Street.pdf
https://publications.polymtl.ca/9390/
https://doi.org/10.3390/ijgi9070456
https://publications.polymtl.ca/9390
https://doi.org/10.3390/ijgi9070456
10.3390/ijgi9070456

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

Authors: Tao Zhou Yalun Wang Hao Quan et al.

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

Subject Terms: Stepwise inertial control, Secondary frequency drop, Sparrow search algorithm, Modified stacked denoising autoencoder, Adamax optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484722010277; https://doaj.org/toc/2352-4847

Access URL: https://doaj.org/article/e2213d1e01814cd191a81dbf57319281

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

Authors: Shenghan Zhou Zhao He Xu Chen et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/b2f8b29b20824d4b8e1f34bc50790953

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

Authors: Jian Li Guoqiang Lu Yongbin Li et al.

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

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

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10843214/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/bf7872496bc74cc1940182d22b2aea77

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

Authors: Weichao Dong Hexu Sun Zheng Li et al.

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

Subject Terms: K-means clustering, multiscale mathematical morphological decomposition, short-term wind-speed forecasting, stacked denoising autoencoders, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9163090/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/080a81e4e4bd4b88a6dd0f8a63710a2d