Search Results - stacked denoising autoencoder(SDAE)

Convergence Technology Opportunity Discovery for Firms Based on Technology Portfolio Using the Stacked Denoising AutoEncoder (SDAE)

Authors: Deuksin Kwon So Young Sohn

Source: IEEE Transactions on Engineering Management. 71:1804-1818

Subject Terms: 0502 economics and business, 05 social sciences

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

Authors: Yibin, Liu Xianwen, Wang Jiongyi, Li et al.

Source: Current Radiopharmaceuticals. 18:224-243

Access URL: https://pubmed.ncbi.nlm.nih.gov/40237056

Stepwise Inertial Intelligent Control of Wind Power for Frequency Regulation Based on Stacked Denoising Autoencoder and Deep Neural Network

Authors: WANG Yalun, ZHOU Tao, CHEN Zhong, WANG Yi, QUAN Hao

Source: Shanghai Jiaotong Daxue xuebao, Vol 57, Iss 11, Pp 1477-1491 (2023)

Subject Terms: stepwise inertial control (sic), secondary frequency drop (sfd), sparrow search algorithm (ssa), stacked denoising autoencoder (sdae), deep neural network (dnn), Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989

File Description: electronic resource

Relation: https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-11-1477.shtml; https://doaj.org/toc/1006-2467

Access URL: https://doaj.org/article/5703db5dde17408889132f952768f68b

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

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

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: 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

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

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

Authors: Jianxin Lin Xuchang Wang Huaiyuan Wang

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

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

Subject Geographic: agris

File Description: application/pdf

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

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

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.

Early Warning of Critical Blockage in Coal Mills Based on Stacked Denoising Autoencoders

Authors: Yanping Li Feng Hong Liang Tian et al.

Source: IEEE Access, Vol 8, Pp 176101-176111 (2020)

Subject Terms: Coal mill, early warning, SDAE, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, critical blockage recognition, Mahalanobis distance, 7. Clean energy, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09205881.pdf
https://doaj.org/article/12982c94ff43405b8b93e89059b980ed
https://dblp.uni-trier.de/db/journals/access/access8.html#LiHTLC20
https://doi.org/10.1109/ACCESS.2020.3026918
https://ieeexplore.ieee.org/document/9205881/

High-Resolution Remote Sensing Image Zero-Watermarking Algorithm Based on Blockchain and SDAE

Authors: Dingjie Xu Na Ren Changqing Zhu

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 323-339 (2024)

Subject Terms: InterPlanetary file system (IPFS), Ocean engineering, Blockchain, high-resolution remote sensing images (HRRS), QC801-809, Geophysics. Cosmic physics, stacked denoising autoencoder (SDAE), 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, copyright protection, 02 engineering and technology, TC1501-1800, Hyperledger Fabric

Access URL: https://doaj.org/article/23bb2a27515440dbac1fedfec1aa0a53

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: 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

Access URL: 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

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

Authors: Dian Long Yancai Xiao Aixin Dai et al.

Source: Measurement Science and Technology. 36:086143

Stacked Denoising Autoencoder With Density-Grid Based Clustering Method for Detecting Outlier of Wind Turbine Components

Authors: Zexian Sun Hexu Sun

Source: IEEE Access, Vol 7, Pp 13078-13091 (2019)

Subject Terms: Density-grid based clustering, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, outlier detection, unsupervised learning, 7. Clean energy, stacked denoising autoencoder, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08620681.pdf
https://doaj.org/article/7cff3f08acbe49f0ac8c2422e38bde0b
https://dblp.uni-trier.de/db/journals/access/access7.html#SunS19
https://ieeexplore.ieee.org/document/8620681

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

Authors: Tong Su Youbo Liu Junbo Zhao et al.

Source: IEEE Transactions on Power Systems. 36:3786-3789

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: https://ieeexplore.ieee.org/document/9288771

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

Authors: Lanlan Rui Yu Zhu Zhipeng Gao et al.

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

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

Access URL: 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

HFO Detection in Epilepsy: A Stacked Denoising Autoencoder and Sample Weight Adjusting Factors-Based Method

Authors: Min Wu Hongzhen Qin Xiongbo Wan et al.

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29:1965-1976

Subject Terms: Drug Resistant Epilepsy, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Seizures, 0202 electrical engineering, electronic engineering, information engineering, Humans, Electroencephalography, Electrocorticography, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/ielx7/7333/4359219/09540702.pdf
https://pubmed.ncbi.nlm.nih.gov/34529568
https://pubmed.ncbi.nlm.nih.gov/34529568/

Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels

Authors: Xiaodi Zhang Fan Xu Xin Shu et al.

Source: Complexity, Vol 2020 (2020)

Subject Terms: Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology

File Description: text/xhtml

Access URL: https://downloads.hindawi.com/journals/complexity/2020/5013871.pdf
https://doaj.org/article/1c1a5d35d5484f8ea5ad2f4a76ec2885
https://dblp.uni-trier.de/db/journals/complexity/complexity2020.html#XuSLZ20
https://www.hindawi.com/journals/complexity/2020/5013871/
https://scholars.cityu.edu.hk/files/71111528/5013871.pdf
https://downloads.hindawi.com/journals/complexity/2020/5013871.pdf
http://downloads.hindawi.com/journals/complexity/2020/5013871.pdf
https://scholars.cityu.edu.hk/en/publications/datadriven-bearing-fault-diagnosis-of-microgrid-network-power-device-based-on-a-stacked-denoising-autoencoder-in-deep-learning-and-clustering-by-fast-search-without-data-labels(a0409b4d-e1c9-42ef-8fc0-fce4f0118bf5).html

Intelligent online catastrophe assessment and preventive control via a stacked denoising autoencoder

Authors: Yangyang Liu Mingyu Zhai Jiahui Jin et al.

Source: Neurocomputing. 380:306-320

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciencedirect.com/science/article/pii/S0925231219315334
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202002228888563580
https://dblp.uni-trier.de/db/journals/ijon/ijon380.html#LiuZJSLWZ20
https://doi.org/10.1016/j.neucom.2019.10.090

An Analog Circuit Fault Diagnosis Method Incorporating Multi-Objective Selection of Measurement Nodes

Authors: Yating Chang Xianglian Xu Kaitian Deng et al.

Source: Electronics ; Volume 14 ; Issue 8 ; Pages: 1528

Subject Terms: analog circuit, fault diagnosis, measurement node selection, stacked denoising autoencoder (SDAE), multiple objective beluga whale optimization (MOBWO), adaptive particle swarm optimization (APSO)

File Description: application/pdf

Relation: Power Electronics; https://dx.doi.org/10.3390/electronics14081528

Availability: https://doi.org/10.3390/electronics14081528

Study on Foundation Pit Construction Cost Prediction Based on the Stacked Denoising Autoencoder

Authors: Denghui Liu Han Wu Lanjun Liu et al.

Source: Mathematical Problems in Engineering. 2020:1-16

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

File Description: text/xhtml

Access URL: https://downloads.hindawi.com/journals/mpe/2020/8824388.pdf
https://downloads.hindawi.com/journals/mpe/2020/8824388.pdf
https://www.hindawi.com/journals/mpe/2020/8824388/