Suchergebnisse - "stacked denoising autoencoder network"

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

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

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

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

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

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

Dateibeschreibung: pdf

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

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

Autoren: Suya Li Bin Wei Jin He et al.

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

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

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

Autoren: Dejun Mu Dawei Guo Hang Liu et al.

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

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

Zugangs-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

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

Autoren: Yan, Junshuai Liu, Yongqian Meng, Hang et al.

Quelle: International Journal of Green Energy; 2024, Vol. 21 Issue 11, p2477-2492, 16p

Schlagwörter: TURBINE generators, WIND turbines, EARLY diagnosis, ALGORITHMS

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

Autoren: He, Jin Fang, Qiong Cao, Meng et al.

Quelle: ACM International Conference Proceeding Series; 12/6/2019, p1-6, 6p

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

Autoren: Hua, Weixin Mu, Dejun Guo, Dawei et al.

Quelle: Multimedia Tools & Applications; Feb2018, Vol. 77 Issue 4, p4253-4269, 17p

Schlagwörter: TRACKING & trailing, SIGNAL denoising, GENETIC algorithm software, MATHEMATICAL optimization, MONTE Carlo method software, OBJECT tracking (Computer vision)

基于 SDAE 的连续梁桥损伤识别方法研究. (Chinese)

Alternate Title: Research on Damage Identification Method for Continuous Beam Bridges Based on SDAE. (English)

Autoren: 王 鹏

Quelle: Railway Construction Technology; 2024, Issue 1, p75-147, 5p

Visual saliency detection via invariant feature constrained stacked denoising autoencoder.

Autoren: Ma, Yunpeng Yu, Zhihong Zhou, Yaqin et al.

Quelle: Multimedia Tools & Applications; Jul2023, Vol. 82 Issue 18, p27451-27472, 22p

Schlagwörter: PROBLEM solving, AUTOMORPHISMS, IMAGE reconstruction algorithms

Application of Multiobjective Particle Swarm Optimization in Rural Credit System.

Autoren: Xue, Wuxia

Quelle: Journal of Sensors; 12/23/2021, p1-9, 9p

Schlagwörter: PARTICLE swarm optimization, RURAL development, CREDIT analysis, CREDIT risk, BOND market

Geografische Kategorien: CHINA

Intelligent fault prediction and diagnosis for wind-powered heating systems using graph neural networks.

Autoren: Wang, Yuechao Zhao, Jizhong Tang, Donglai et al.

Quelle: Scientific Reports; 11/7/2025, Vol. 15 Issue 1, p1-16, 16p

Schlagwörter: GRAPH neural networks, MULTISENSOR data fusion, FAILURE analysis, SPATIOTEMPORAL processes, RENEWABLE energy sources, REAL-time computing, MACHINE learning, DIAGNOSIS

Geografische Kategorien: CHINA

Machine Learning-Based Data Mining and Fault Identification for Condition Monitoring of Multi-Dimensional Anthropomorphic Wind Turbines.

Autoren: Chen, Shuqiao Zhang, Peng Ma, Hui et al.

Quelle: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p5233-5256, 24p

Schlagwörter: MACHINE learning, DATA mining, WIND turbines, TURBINES, BIG data

融合通道与多头注意力的股价趋势预测模型. (Chinese)

Alternate Title: Stock Price Trend Prediction Model Integrating Channel and Multi-Head Attention Mechanisms. (English)

Autoren: 周佳妮 刘春雨 刘家鹏

Quelle: Journal of Computer Engineering & Applications; Apr2025, Vol. 61 Issue 8, p324-338, 15p

Establishment and Solution Test of Wear Prediction Model Based on Particle Swarm Optimization Least Squares Support Vector Machine.

Autoren: Huang, Xiao Wang, Yongguo Mao, Yuhui

Quelle: Machines; Apr2025, Vol. 13 Issue 4, p290, 24p

Schlagwörter: SUPPORT vector machines, PRINCIPAL components analysis, LEAST squares, MULTISENSOR data fusion, MACHINE learning

面向数字孪生的多轴数控机床建模及实时可视化仿真. (Chinese)

Alternate Title: Modeling and Real-time Visual Simulation of Multi-axis CNC Machine Tools for Digital Twins. (English)

Autoren: 孟博洋 孙文星 岳彩旭 et al.

Quelle: Journal of Harbin University of Science & Technology; Feb2025, Vol. 30 Issue 1, p148-156, 9p

Schlagwörter: DIGITAL twin, ARCHITECTURAL design, VIRTUAL machine systems, ELECTRONIC paper, NUMERICAL control of machine tools, MACHINE tools

Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies.

Autoren: Oliveira-Filho, Adaiton Comeau, Monelle Cave, James et al.

Quelle: Energies (19961073); Jan2025, Vol. 18 Issue 1, p59, 23p

Schlagwörter: DATA augmentation, WIND turbines, SUPERVISORY control systems, DATABASES, ACQUISITION of data

An accurate paradigm for denoising degraded ultrasound images based on artificial intelligence systems.

Autoren: Al‐Tahhan, F. E. Fares, M. E.

Quelle: Microscopy Research & Technique; Dec2024, Vol. 87 Issue 12, p3089-3106, 18p

基于多重降噪自编码网络的接触网开口销缺失 识别方法. (Chinese)

Alternate Title: Identification Method for Missing Cotter Pins in Catenary Systems Based on Stacked De- noising Autoencoder Network. (English)

Autoren: SHAN Chonghao

Quelle: Urban Mass Transit; 2024, Vol. 27 Issue 10, p274-283, 7p

Near-Surface Air Temperature Estimation Based on an Improved Conditional Generative Adversarial Network.

Autoren: Zheng, Jiaqi Wu, Xi Li, Xiaojie et al.

Quelle: Sensors (14248220); Sep2024, Vol. 24 Issue 18, p5972, 21p

Schlagwörter: GENERATIVE adversarial networks, STANDARD deviations, METEOROLOGICAL satellites, DEEP learning, ATMOSPHERIC temperature