Search Results - stacked denoising autoencoder network

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

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

Wind turbine generator early fault diagnosis using LSTM-based stacked denoising autoencoder network and stacking algorithm

Authors: Junshuai Yan Yongqian Liu Hang Meng et al.

Source: International Journal of Green Energy. 21:2477-2492

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

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

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

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

Source: 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT). :189-194

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

File Description: pdf

Access URL: https://r-libre.teluq.ca/1966/
https://dblp.uni-trier.de/db/conf/codit/codit2020.html#HibaTB20

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

Partial Discharge Pattern Recognition Based on Stacked Denoising Autoencoder Network: Computer and AI Applications in Power Industry

Authors: Suya Li Bin Wei Jin He et al.

Source: Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering. :1-6

Subject Terms: 0301 basic medicine, 03 medical and health sciences, 13. Climate action, 0502 economics and business, 05 social sciences

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

Authors: Lin, Li Zhao, Shuang Tang, Xiaowen et al.

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

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

Visual tracking based on stacked Denoising Autoencoder network with genetic algorithm optimization

Authors: Dejun Mu Dawei Guo Hang Liu et al.

Source: Multimedia Tools and Applications. 77:4253-4269

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/mta/mta77.html#HuaMGL18
https://link.springer.com/article/10.1007/s11042-017-4702-1
https://doi.org/10.1007/s11042-017-4702-1

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

Authors: Zhengshun Fei Jinglong Wang Kangling Liu et al.

Source: IET Cyber-systems and Robotics, Vol 5, Iss 3, Pp n/a-n/a (2023)

Subject Terms: artificial intelligence, deep learning, deep neural network, machine learning, service robots, Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2631-6315

Access URL: https://doaj.org/article/b9de92c71a2948758dc0f43eef277c08

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: Fan Xu Xin Shu Xin Li et al.

Source: Complexity, Vol 2020 (2020)

Subject Terms: Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1076-2787; https://doaj.org/toc/1099-0526

Access URL: https://doaj.org/article/1c1a5d35d5484f8ea5ad2f4a76ec2885

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

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

Authors: Che Aminudin, Muhamad Faris Suandi, Shahrel Azmin

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

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

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

A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder

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

Source: ISPRS International Journal of Geo-Information, Vol 9, Iss 7, p 456 (2020)

Subject Terms: urban transportation network, street functionality classification, stacked denoising autoencoder, deep learning, centrality measures, machine learning, Geography (General), G1-922

File Description: electronic resource

Relation: https://www.mdpi.com/2220-9964/9/7/456; https://doaj.org/toc/2220-9964

Access URL: https://doaj.org/article/61d454b8b0c84e0891e39f05602aa504

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

Authors: Che, Changchang Wang, Huawei Ni, Xiaomei et al.

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

Subject Terms: *CONVOLUTIONAL neural networks, *FAULT diagnosis, *ROLLER bearings, *DIAGNOSIS, *TIME series analysis, *GOLGI apparatus

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

SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction.

Authors: Huang, Keke Li, Shuo Dai, Penglin et al.

Source: Neural Networks. Jun2020, Vol. 126, p143-152. 10p.

Subject Terms: *DEEP learning, *GREEDY algorithms, *INVERSE problems

LIDER: cell embedding based deep neural network classifier for supervised cell type identification

Authors: Yachen Tang Xuefeng Li Mingguang Shi

Source: PeerJ, Vol 11, p e15862 (2023)

Subject Terms: Cell embedding, Stacked denoising autoencoders, Deep neural network classifier, Cell type identification, Medicine, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://peerj.com/articles/15862.pdf; https://peerj.com/articles/15862/; https://doaj.org/toc/2167-8359

Access URL: https://doaj.org/article/1687af24dd644d59a991a5fef4e441a4

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