Výsledky vyhľadávania - stack autoencoder (SAE)

A Just-in-Time Fine-Tuning Framework for Deep Learning of SAE in Adaptive Data-Driven Modeling of Time-Varying Industrial Processes Autor Wu, Yijun, Liu, Diju, Yuan, Xiaofeng, Wang, Yalin

“… This may cause their performance degradation in time-varying processes. To deal with this problem, an adaptive updating framework is proposed for deep learning, which is based on just-in-time fine-tuning of stacked autoencoder (JIT-SAE…”
Získať plný text

Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis Autor Liu, Zhao-Hua, Lu, Bi-Liang, Wei, Hua-Liang, Chen, Lei, Li, Xiao-Hua, Ratsch, Matthias

“…: the source domain and the target domain are inconsistent in their distribution. First, a deep stack autoencoder (DSAE…”
Získať plný text

SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG Autor Xing, Xiaofen, Li, Zhenqi, Xu, Tianyuan, Shu, Lin, Hu, Bin, Xu, Xiangmin

“… Specially, Stack AutoEncoder (SAE) is used to build and solve the linear EEG mixing model and the emotion timing model is based on the Long Short-Term Memory Recurrent Neural Network (LSTM-RNN…”
Získať plný text

Damage characterization using CNN and SAE of broadband Lamb waves Autor Gao, Fei, Hua, Jiadong

“…) and stack autoencoder (SAE) are promising to extract features from Lamb wave signals that can be linked with damage for subsequent localization and quantification…”
Získať plný text

Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network Autor Amin, Javeria, Anjum, Muhammad Almas, Sharif, Muhammad, Rehman, Amjad, Saba, Tanzila, Zahra, Rida

“… In Phase III, segmented images are passed to the stack sparse autoencoder (SSAE…”
Získať plný text

Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine Autor Cui, Mingliang, Wang, Youqing, Lin, Xinshuang, Zhong, Maiying

“… To solve this issue, this study proposes a feature distance stack autoencoder (FD-SAE) for rolling bearing fault diagnosis…”
Získať plný text

A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures Autor Nguyen, Tuan-Khai, Ahmad, Zahoor, Kim, Jong-Myon

“…This paper proposes a new technique for the construction of a concrete-beam health indicator based on the Kullback–Leibler divergence (KLD) and deep learning…”
Získať plný text

Deep Neural Network Based on A Stacked Autoencoder For 3D-Finger Knuckle Recognition Autor Al-Janabi, Dua'a Hamed, Al-Juboori, Ali Mohsin

“… This paper offers an effective deep learning technique, stacked sparse autoencoders (SSAEs), to identify the individual through a 3d finger knuckle…”
Získať plný text

Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE Autor Liu, Chenliang, Wang, Kai, Wang, Yalin, Xie, Shengli, Yang, Chunhua

“… Therefore, a novel spatiotemporal neighborhood preserving stack autoencoder (STNP-SAE) is proposed to simultaneously learn deep nonlinear static and dynamic features of process data in this article…”
Získať plný text

Multi-Gate Mixture-of-Experts Stacked Autoencoders for Quality Prediction in Blast Furnace Ironmaking Autor Zhu, Hongyu, He, Bocun, Zhang, Xinmin

“… However, most of the existing product quality prediction models, such as the stacked autoencoder (SAE…”
Získať plný text

Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery Autor Protopapadakis, Eftychios, Doulamis, Anastasios, Doulamis, Nikolaos, Maltezos, Evangelos

“…In this paper, we propose a Stack Auto-encoder (SAE)-Driven and Semi-Supervised (SSL)-Based Deep Neural Network…”
Získať plný text

Short-Term Streamflow Forecasting Using the Feature-Enhanced Regression Model Autor Bai, Yun, Bezak, Nejc, Sapač, Klaudija, Klun, Mateja, Zhang, Jin

“…), which combined stack autoencoder (SAE) with long short-term memory (LSTM). This model had two constituents…”
Získať plný text

Novel Manifold Autoencoder for Industrial Process Fault Diagnosis Autor He, Yan-Lin, Lu, Zi-Yang, Zhu, Qun-Xiong

“… In the realm of fault diagnosis, stack autoencoders (SAE) have gained widespread popularity for their robust nonlinear feature extraction…”
Získať plný text

Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting Autor Li, Chuan, Bai, Yun, Zeng, Bo

“…, deep restricted Boltzmann machine (DRBM) and stack Autoencoder (SAE), respectively, are introduced in this paper…”
Získať plný text

Deep learning-based protoacoustic signal denoising for proton range verification Autor Wang, Jing, Sohn, James J, Lei, Yang, Nie, Wei, Zhou, Jun, Avery, Stephen, Liu, Tian, Yang, Xiaofeng

“…Proton therapy is a type of radiation therapy that can provide better dose distribution compared to photon therapy by delivering most of the energy at the end…”
Získať plný text

Indian classical musical instrument classification using Timbral features Autor Gulhane, Sushen Rameshpant, Shirbahadurkar, Suresh Damodar, Badhe, Sanjay Shrikrushna

“…‐based stacked autoencoder. The significance of this research is based on the proposed Cuckoo…”
Získať plný text

Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion Autor Sun, Meidi, Wang, Hui, Liu, Ping, Huang, Shoudao, Wang, Pan, Meng, Jinhao

“… In this article, we propose a stack autoencoder transfer learning algorithm based on the class separation and domain fusion (SAE-CSDF…”
Získať plný text

A hybrid framework for predicting the remaining useful life of battery using Gaussian process regression Autor Li, Jiabo, Ye, Min, Wang, Yan, Wang, Qiao, Wei, Meng

“…) based on automatic stack autoencoder (SAE) and improved whale optimization algorithm (WOA) is proposed in this research paper…”
Získať plný text

Intrusion Detection Model Based on SAE and BALSTM Autor Jiajia, Fan, Jiangfeng, Xu, Junfeng, Zhang

“…, an intrusion detection model based on improved Stack autoencoder (SAE) and bidirectional feature attention short-time memory network (BALSTM) is proposed…”
Získať plný text

Rolling Bearing Fault Diagnosis Based on Stacked Autoencoder Network with Dynamic Learning Rate Autor Binama, Maxime, Xu, Jin-Jun, Tang, Wei, Pan, Hong

“…Fault diagnosis is of great significance for ensuring the safety and reliable operation of rolling bearing in industries. Stack autoencoder (SAE…”
Získať plný text