Suchergebnisse - 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 von 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 …”
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Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis von 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 …”
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SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG von 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 …”
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Damage characterization using CNN and SAE of broadband Lamb waves von 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 …”
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Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network von 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 …”
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Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine von 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 …”
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A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures von 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 …”
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Deep Neural Network Based on A Stacked Autoencoder For 3D-Finger Knuckle Recognition von 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 …”
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Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE von 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 …”
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Multi-Gate Mixture-of-Experts Stacked Autoencoders for Quality Prediction in Blast Furnace Ironmaking von Zhu, Hongyu, He, Bocun, Zhang, Xinmin

“… However, most of the existing product quality prediction models, such as the stacked autoencoder (SAE …”
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Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery von 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 …”
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Short-Term Streamflow Forecasting Using the Feature-Enhanced Regression Model von 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 …”
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Novel Manifold Autoencoder for Industrial Process Fault Diagnosis von 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 …”
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Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting von Li, Chuan, Bai, Yun, Zeng, Bo

“… , deep restricted Boltzmann machine (DRBM) and stack Autoencoder (SAE), respectively, are introduced in this paper …”
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Deep learning-based protoacoustic signal denoising for proton range verification von 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 …”
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Indian classical musical instrument classification using Timbral features von Gulhane, Sushen Rameshpant, Shirbahadurkar, Suresh Damodar, Badhe, Sanjay Shrikrushna

“… ‐based stacked autoencoder. The significance of this research is based on the proposed Cuckoo …”
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Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion von 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 …”
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A hybrid framework for predicting the remaining useful life of battery using Gaussian process regression von 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 …”
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Intrusion Detection Model Based on SAE and BALSTM von 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 …”
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Rolling Bearing Fault Diagnosis Based on Stacked Autoencoder Network with Dynamic Learning Rate von 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 …”
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