Suchergebnisse - Stacked denoising autoencoder*

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

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

Quelle: Current Radiopharmaceuticals. 18:224-243

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40237056

Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization

Autoren: JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

Quelle: Shanghai Jiaotong Daxue xuebao, Vol 59, Iss 6, Pp 780-788 (2025)

Schlagwörter: Chemical engineering, Naval architecture. Shipbuilding. Marine engineering, status data, VM1-989, TP155-156, TA1-2040, Engineering (General). Civil engineering (General), stacked denoising autoencoder, data cleaning, power equipment

Zugangs-URL: https://doaj.org/article/a9b9c95033014d53b01068f2d1ca54df

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

Autoren: Feng Gao Yuting Li Yinghao Zhao et al.

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

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

Autoren: Zhangying He Chelsea William Fernandes Hossein Sayadi

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

Ensemble Targeted Stacked Denoising Autoencoders With Mutual Information Constraint for Rotating Machinery Fault Diagnosis

Autoren: Yinghao Zhao Xu Yang Jian Huang et al.

Quelle: IEEE Transactions on Industrial Informatics. 21:1329-1338

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

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

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/42d2b7245a534844bd1edcf6bbf34507

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

Autoren: SHAN Chonghao

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

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

Zugangs-URL: https://doaj.org/article/1e4b6be3a39145f5af24cbf54545d3c4

Enhanced and Automatic Defect Detection in Thermography using Stacked Denoising Autoencoder

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

Quelle: 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

Autoren: You Zhang Congbo Li Ying Tang et al.

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

Traffic Image Analysis Based on Stacked Denoising Autoencoder Neural Network

Autoren: Daehyon Kim

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/fabc870fc1524bf4a89ecb4aaed0ca7a

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

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

Quelle: Rare Metals. 43:6730-6741

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

Autoren: Tao Zhou Yalun Wang Hao Quan et al.

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/e2213d1e01814cd191a81dbf57319281

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

Autoren: Gunawan Gunawan Aminnur Aimar Akbar Wresti Andriani

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

The pre-trained explainable deep learning model with stacked denoising autoencoders for slope stability analysis

Autoren: Shan Lin Miao Dong Xitailang Cao et al.

Quelle: Engineering Analysis with Boundary Elements. 163:406-425

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

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

Indoor Localization via Deep Learning with Self-Attention and Stacked Denoising Autoencoders

Autoren: Yanchun Wang Zhiguo Zhao Fengjuan Miao et al.

Quelle: 2024 International Conference on Interactive Intelligent Systems and Techniques (IIST). :242-246

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

Autoren: Junshuai Yan Yongqian Liu Hang Meng et al.

Quelle: 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

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

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/5703db5dde17408889132f952768f68b

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

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

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

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

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

Autoren: Deuksin Kwon So Young Sohn

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

Schlagwörter: 0502 economics and business, 05 social sciences