Search Results - "Stacked denoising autoencoder"

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

Causal analysis enhanced stacked denoising autoencoder for closed-loop industrial process monitoring

Authors: Feng Gao Yuting Li Yinghao Zhao et al.

Source: 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). :1448-1453

Obfuscation-Resistant Hardware Malware Detection: A Stacked Denoising Autoencoder Approach

Authors: Zhangying He Chelsea William Fernandes Hossein Sayadi

Source: 2025 26th International Symposium on Quality Electronic Design (ISQED). :1-10

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

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

Enhanced and Automatic Defect Detection in Thermography using Stacked Denoising Autoencoder

Authors: G. T. Vesala V. S. Ghali A. Vijaya Lakshmi et al.

Source: 2024 5th IEEE Global Conference for Advancement in Technology (GCAT). :1-8

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

Authors: You Zhang Congbo Li Ying Tang et al.

Source: Journal of Manufacturing Systems. 76:443-456

Deep learning for electrolysis process anode effect prediction based on long short-term memory network and stacked denoising autoencoder

Authors: Gang Yin Yi-Hui Li Fei-Ya Yan et al.

Source: Rare Metals. 43:6730-6741

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: 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

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

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

Authors: Gunawan Gunawan Aminnur Aimar Akbar Wresti Andriani

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

Quantitative Evaluation of Combustion Stability in Heavy Oil Boilers using Flame Imaging and Stacked Denoising Autoencoder

Authors: Zhezhe Han Zewen Qian Md Moinul Hossain et al.

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

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

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

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

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

An Anomaly Detection Method for Nonlinear Industrial Process Using Sparse Stacked Denoising Autoencoder

Authors: Mingwei Yang YanHua Liu Hong Chen et al.

Source: 2023 9th International Conference on Systems and Informatics (ICSAI). :1-6

Improved Knowledge Transfer based on Stacked Denoising Autoencoder and Graph Convolutional Network for Fault Diagnosis of Rolling Bearings

Authors: Tianyu Yang Wei Guo

Source: 2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou). :1-6

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.

Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing

Authors: Penglin Dai Jingtao Luo Kangli Zhao et al.

Source: Neural Computing and Applications. 35:14259-14274