Výsledky vyhledávání - Deep-stacked denoising autoencoder

A selective deep stacked denoising autoencoders ensemble with negative correlation learning for gearbox fault diagnosis Autor Yu, Jianbo

“… This paper proposes a selective stacked denoising autoencoders (SDAE) with negative correlation learning (NCL) (SSDAE-NCL…”
Získat plný text

Monitoring of complex profiles based on deep stacked denoising autoencoders Autor Chen, Shumei, Yu, Jianbo, Wang, Shijin

“…Fig. 4. Schematic diagram of the SDAE-based model for profile monitoring. [Display omitted] •DNN is developed for modelling complex profiles.•SDAE is effective…”
Získat plný text

Face recognition via Deep Stacked Denoising Sparse Autoencoders (DSDSA) Autor Görgel, Pelin, Simsek, Ahmet

“… In this paper, the proposed face recognition system namely Deep Stacked Denoising Sparse Autoencoders (DSDSA…”
Získat plný text

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition Autor Wang, Zirui, Wang, Jun, Wang, Youren

“…•A new diagnostic model named SDAE-GAN is proposed.•The model combines Generative Adversarial Networks and Stacked Denoising Autoencoders…”
Získat plný text

Deep learning framework designed for high-performance lithium-ion batteries state monitoring Autor Takyi-Aninakwa, Paul, Wang, Shunli, Liu, Guangchen, Fernandez, Carlos, Kang, Wenbin, Song, Yingze

“… In this work, a deep-stacked denoising autoencoder is established for a long short-term memory model that incorporates a transfer learning mechanism to estimate and study the SOC from an electrochemical perspective…”
Získat plný text

Stepwise Inertial Intelligent Control of Wind Power for Frequency Regulation Based on Stacked Denoising Autoencoder and Deep Neural Network Autor WANG Yalun, ZHOU Tao, CHEN Zhong, WANG Yi, QUAN Hao

“… In order to realize the optimal stepwise inertial fast control of wind power frequency regulation in load disturbance events, this paper introduces the deep learning algorithm and proposes a stepwise…”
Získat plný text

Fully convolutional Deep Stacked Denoising Sparse Auto encoder network for partial face reconstruction Autor Dinesh, P.S., Manikandan, M.

“…•In this partial face detection (PFD) is used to overcome the challenges involved in face detection and reconstruction.•A novel PFD algorithm called Self-…”
Získat plný text

Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label Autor Xu, Fan, Tse, Wai tai Peter, Tse, Yiu Lun

“…Most deep learning models such as stacked autoencoder (SAE) and stacked denoising autoencoder (SDAE…”
Získat plný text

Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders Autor Zheng, Zhanpeng, Yin, Zhong, Wang, Yongxiong, Zhang, Jianhua

“…•Approach of cascade ensemble of multilayer autoencoders is proposed. Machine learning approaches can build a computational model to predict cognitive workload levels by using electroencephalogram (EEG…”
Získat plný text

Data augmentation versus noise compensation for x-vector speaker recognition systems in noisy environments Autor Mohammad Amini, Mohammad, Matrouf, Driss

“…The explosion of available speech data and new speaker modeling methods based on deep neural networks (DNN) have given the ability to develop more robust…”
Získat plný text

Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems Autor Fei, Zhengshun, Wang, Jinglong, Liu, Kangling, Attahi, Eric, Huang, Bingqiang

“…With the rapid development of artificial intelligence technology, commercial robots have gradually entered our daily lives. In order to promote product…”
Získat plný text

Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network Autor Singh, Prateek, Sharma, Ambalika, Maiya, Shreesha

“… With this in mind, the two-fold study is proposed, in which three denoising autoencoders for ECG signal pre-processing were evaluated and compared…”
Získat plný text

An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals Autor Zheng, Zhanpeng, Yin, Zhong, Zhang, Jianhua

“… This study proposes an inter-subject CW classifier, extreme learning machine (ELM)-based deep stacked denoising autoencoder ensemble (ED-SDAE…”
Získat plný text

The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review Autor Li, Dana, Mikela Vilmun, Bolette, Frederik Carlsen, Jonathan, Albrecht-Beste, Elisabeth, Ammitzbøl Lauridsen, Carsten, Bachmann Nielsen, Michael, Lindskov Hansen, Kristoffer

“…The aim of this study was to systematically review the performance of deep learning technology in detecting and classifying pulmonary nodules on computed…”
Získat plný text

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 Autor Zhang, Xiaodi, Li, Xin, Shu, Xin, Xu, Fan

“… In this paper, we use the stacked denoising autoencoder (SDAE) model in deep learning to construct HI directly from the microgrid power equipment of raw signals in bearings…”
Získat plný text

Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification Autor Nurmaini, Siti, Darmawahyuni, Annisa, Sakti Mukti, Akhmad Noviar, Rachmatullah, Muhammad Naufal, Firdaus, Firdaus, Tutuko, Bambang

“…The electrocardiogram (ECG) is a widely used, noninvasive test for analyzing arrhythmia. However, the ECG signal is prone to contamination by different kinds…”
Získat plný text

Multi-source deep transfer learning with stacked denoising autoencoder and Wasserstein distance for wind power prediction in new wind farm Autor Xu, Haiyan, Hao, Wenguang, Zhao, Yong, Tian, Hongda

“…•Stacked denoising autoencoder is used to establish feature correlations between the source and target domain…”
Získat plný text

The pre-trained explainable deep learning model with stacked denoising autoencoders for slope stability analysis Autor Lin, Shan, Dong, Miao, Cao, Xitailang, Liang, Zenglong, Guo, Hongwei, Zheng, Hong

“… In this work, we proposed a deeply-integrated explainable pre-trained deep learning framework with stacked denoising autoencoders in the assessment of slope stability…”
Získat plný text

Demodulating Optical Wireless Communication of FBG Sensing with Turbulence-Caused Noise by Stacked Denoising Autoencoders and the Deep Belief Network Autor Bogale, Shegaw Demessie, Yao, Cheng-Kai, Manie, Yibeltal Chanie, Dehnaw, Amare Mulatie, Tefera, Minyechil Alehegn, Li, Wei-Long, Zhong, Zi-Gui, Peng, Peng-Chun

“… This work aims to deep denoise sensed signals from fiber Bragg grating (FBG) sensors based on FSO link transmission using advanced denoising deep learning techniques, such as stacked denoising autoencoders (SDAE…”
Získat plný text

A Wireless Positioning Method Based on Deep Neural Network Autor LIU Kan,ZHANG Wei,ZHANG Weidong,ZHANG Youmei,GU Jianjun

“…).It uses a four-layer Deep Neural Network(DNN) structure pre-trained by Stacked Denoising Autoencoder(SDA…”
Získat plný text