Výsledky vyhledávání - Improved stack autoencoder*

Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine

Autoři: Mingliang Cui Youqing Wang Xinshuang Lin a další

Zdroj: IEEE Sensors Journal. 21:4927-4937

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9223764/
https://ui.adsabs.harvard.edu/abs/2021ISenJ..21.4927C/abstract

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

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

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

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

Popis souboru: electronic resource

Relation: https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-6-780.shtml; https://doaj.org/toc/1006-2467

Přístupová URL adresa: https://doaj.org/article/a9b9c95033014d53b01068f2d1ca54df

基于粒子群优化堆叠降噪自编码器的电力设备状态数据质量提升. (Chinese)

Alternate Title: Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization. (English)

Autoři: 计蓉 侯慧娟 盛戈皞 a další

Zdroj: Journal of Shanghai Jiao Tong University (1006-2467); Jun2025, Vol. 59 Issue 6, p780-788, 9p

Témata: DATA scrubbing, AUTOENCODERS, PARTICLE swarm optimization, NOISE control, MISSING data (Statistics)

Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine.

Autoři: Cui, Mingliang Wang, Youqing Lin, Xinshuang a další

Zdroj: IEEE Sensors Journal; 2021, Vol. 21 Issue 2, p4927-4937, 11p

An Improved Deep Learning Model for DDoS Detection Based on Hybrid Stacked Autoencoder and Checkpoint Network.

Autoři: Mousa, Amthal K. Abdullah, Mohammed Najm

Zdroj: Future Internet. Aug2023, Vol. 15 Issue 8, p278. 16p.

Témata: *Machine learning, Deep learning, Convolutional neural networks, Denial of service attacks, Botnets, Software-defined networking

Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals.

Autoři: Sahani, Mrutyunjaya Rout, Susanta Kumar Dash, Pradipta Kishor

Zdroj: IEEE Transactions on Biomedical Circuits & Systems; Jun2021, Vol. 16 Issue 3, p595-605, 11p

Intrusion Detection Model Combining Improved Self-Encoder and Residual Network

Autoři: Hong CHEN, Hanwen WANG, Haibo JIN

Zdroj: Jisuanji gongcheng, Vol 50, Iss 2, Pp 188-195 (2024)

Témata: network intrusion detection, deep learning, stack self-encoder, residual network, cic-ids-2017 dataset, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20240220.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/47dc1b92014946c0a8ac5ba41d4ce092

Autoencoder-based confidence score for item preknowledge detection.

Autoři: Pan, Yiqin

Zdroj: Behaviormetrika; Jul2025, Vol. 52 Issue 2, p317-342, 26p

Témata: AUTOENCODERS, DEEP learning, PRIOR learning, SIMULATION methods & models, DETECTION algorithms, SIGNAL detection, TEST design

OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction.

Autoři: Zhao, Haifeng Wu, Haiting Wang, Xin

Zdroj: Cognitive Computation; Jul2023, Vol. 15 Issue 4, p1334-1341, 8p

Fault Diagnosis of Pitch System of Wind Turbine based on Improved Stacked Auto-Encoder Network.

Autoři: Sihua Wang Tian Wang Lijun Zhou a další

Zdroj: Electrotehnica, Electronica, Automatica; Jul-Sep2020, Vol. 68 Issue 3, p47-54, 8p

Témata: FAULT diagnosis, SUPERVISORY control & data acquisition systems, SUPERVISORY control systems, WEIGHT training, ALGORITHMS, ACQUISITION of data, WIND turbines

A Hybrid Ensemble Learning Framework for Predicting Lumbar Disc Herniation Recurrence: Integrating Supervised Models, Anomaly Detection, and Threshold Optimization.

Autoři: Duceac, Mădălina Buzea, Călin Gheorghe Pleșea-Condratovici, Alina a další

Zdroj: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 13, p1628, 40p

Témata: ARTIFICIAL neural networks, ENSEMBLE learning, CLINICAL decision support systems, AUTOENCODERS, BLENDED learning

L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter

Autoři: Jia, Jiaru Liu, Mingzhe Xie, Jiake a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2211.11242

Deep Learning Technique-Based Steering of Autonomous Car.

Autoři: Yang, Yiqin Wu, Zhe Xu, Qingyang a další

Zdroj: International Journal of Computational Intelligence & Applications; Jun2018, Vol. 17 Issue 2, pN.PAG-N.PAG, 18p

Témata: NEURAL circuitry, AUTONOMOUS vehicles, RASPBERRY Pi, BIOLOGICAL neural networks, LEARNING

Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation.

Autoři: Shobayo, Olamilekan Saatchi, Reza

Zdroj: Diagnostics (2075-4418); May2025, Vol. 15 Issue 9, p1072, 31p

Témata: ARTIFICIAL neural networks, PATTERN recognition systems, ARTIFICIAL intelligence, TRANSFORMER models, GENERATIVE adversarial networks

SDCA: a novel stack deep convolutional autoencoder – an application on retinal image denoising.

Autoři: Ghosh, Swarup Kr Biswas, Biswajit Ghosh, Anupam

Zdroj: IET Image Processing (Wiley-Blackwell); Dec2019, Vol. 13 Issue 14, p2778-2789, 12p

Intelligent Optimization of Latent Fingerprint Image Segmentation using Stacked Convolutional Autoencoder.

Autoři: Chhabra, Megha Shukla, Manoj Kumar Ravulakollu, Kiran Kumar

Zdroj: International Journal of Performability Engineering. Apr2021, Vol. 17 Issue 4, p379-393. 15p.

Témata: Forensic fingerprinting, Image segmentation, Human fingerprints, Smart structures, Feature selection, Law enforcement agencies

Digital Twin Inspired Intelligent Bearing Fault Diagnosis Method Based on Adaptive Correlation Filtering and Improved SAE Classification Model

Autoři: Wenhua Zhang Zhifeng Liu Zhiqiang Liao

Zdroj: Mathematical Problems in Engineering. 2022:1-17

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences

Popis souboru: text/xhtml

Convolutional Cross-Modal Autoencoder-Based Few-Shot Learning for Data Augmentation with Application to Alzheimer Dementia Diagnosis.

Autoři: Bazine, Othmane Rai, Omar Aiadi, Oussama a další

Zdroj: Cognitive Computation; Feb2025, Vol. 17 Issue 1, p1-14, 14p

Effective and efficient self-supervised masked model based on mixed feature training.

Autoři: Kang, Qingjiu Liu, Feng Cai, Chunliu

Zdroj: Frontiers in Neurorobotics; 2025, p1-9, 9p

Témata: IMAGE processing, MACHINE learning, MATHEMATICAL optimization

Deep learning-based real-time diagnosis of cardiac diseases through behavioral changes in ECG signals.

Autoři: Gupta, Muktesh Wadhvani, Rajesh Rasool, Akhtar

Zdroj: Biomedical Signal Processing & Control. Jun2025, Vol. 104, pN.PAG-N.PAG. 1p.

Témata: Change-point problems, Nosology, Autoencoder, Heart diseases, Deep learning