Suchergebnisse - "Aautoencoder"

Transformer fault diagnosis using continuous sparse autoencoder von Wang, Lukun, Zhao, Xiaoying, Pei, Jiangnan, Tang, Gongyou

Volltext

Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis von Zhang, Xiaofan, Dou, Hang, Ju, Tao, Xu, Jun, Zhang, Shaoting

“… from the cell detection results by a stacked sparse autoencoder. Because of the dramatically different characteristics and representations of these heterogeneous features (i.e …”
Volltext

DDSA: A Defense Against Adversarial Attacks Using Deep Denoising Sparse Autoencoder von Bakhti, Yassine, Fezza, Sid Ahmed, Hamidouche, Wassim, Deforges, Olivier

“… In this paper, we propose a novel defense solution based on a Deep Denoising Sparse Autoencoder (DDSA …”
Volltext

Attention-based Wavenet Autoencoder for Universal Voice Conversion von Polyak, Adam, Wolf, Lior

“… We present a method for converting any voice to a target voice. The method is based on a WaveNet autoencoder, with the addition of a novel attention component …”
Volltext

Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning von Sun, Jiedi, Yan, Changhong, Wen, Jiangtao

“… Effective intelligent fault diagnosis has long been a research focus on the condition monitoring of rotary machinery systems. Traditionally, time-domain …”
Volltext

Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks von Popoola, Segun I., Adebisi, Bamidele, Hammoudeh, Mohammad, Gui, Guan, Gacanin, Haris

“… In this article, we reduce the feature dimensionality of large-scale IoT network traffic data using the encoding phase of long short-term memory autoencoder (LAE …”
Volltext

An ensemble learning framework for anomaly detection in building energy consumption von Araya, Daniel B., Grolinger, Katarina, ElYamany, Hany F., Capretz, Miriam A.M., Bitsuamlak, Girma

“… During building operation, a significant amount of energy is wasted due to equipment and human-related faults. To reduce waste, today's smart buildings monitor …”
Volltext

A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting von Zhou, Teng, Han, Guoqiang, Xu, Xuemiao, Han, Chu, Huang, Yuchang, Qin, Jing

Volltext

Data-driven flatness intelligent representation method of cold rolled strip von Xu, Yang-huan, Wang, Dong-cheng, Duan, Bo-wei, Liu, Hong-min

Volltext

Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects von Ping Xuan, Kai Xu, Hui Cui, Toshiya Nakaguchi, Tiangang Zhang

Volltext

Phrase embedding learning from internal and external information based on autoencoder von Li, Rongsheng, Yu, Qinyong, Huang, Shaobin, Shen, Linshan, Wei, Chi, Sun, Xuewei

“… •We propose an autoencoder-based method to generate phrase embedding.•The method uses full connected network, LSTM and attention to get phrase embedding.•The …”
Volltext

Deep learning enabled Lagrangian particle trajectory simulation von Gan, Jingwei, Liu, Pai, Chakrabarty, Rajan K.

“… – the variational autoencoder (VAE) and the generative adversarial net (GAN). The performance of both models was then benchmarked according to statistical analysis …”
Volltext

Leveraging latent representations for milk yield prediction and interpolation using deep learning von Liseune, Arno, Salamone, Matthieu, Van den Poel, Dirk, Van Ranst, Bonifacius, Hostens, Miel

“… •Inferring milk yields along the entire lactation curve by using deep learning.•Extracting a latent representation of a lactation curve with autoencoders …”
Volltext

Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition von Raissi, Tina, Tibo, Alessandro, Bientinesi, Paolo

“… , determined by an autoencoder. The results of the experiments conducted on GTZAN dataset reveal a noticeable contribution of this methodology towards the model's …”
Volltext

Robustifying models against adversarial attacks by Langevin dynamics von Srinivasan, Vignesh, Rohrer, Csaba, Marban, Arturo, Müller, Klaus-Robert, Samek, Wojciech, Nakajima, Shinichi

“… To achieve this task, we introduce a generative model of the conditional distribution of the inputs given labels that can be learned through a supervised Denoising Autoencoder (sDAE …”
Volltext

Deeppipe: A semi-supervised learning for operating condition recognition of multi-product pipelines von Zheng, Jianqin, Du, Jian, Liang, Yongtu, Liao, Qi, Li, Zhengbing, Zhang, Haoran, Wu, Yi

“… time series of the operating data. Then stacked autoencoder …”
Volltext

Robustifying models against adversarial attacks by Langevin dynamics von Shinichi Nakajima, Arturo Marban, Vignesh Srinivasan, Csaba Rohrer, Klaus-Robert Müller, Wojciech Samek

Volltext

GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images von Bardou, Dalal, Lv, Laishui, Medjadba, Yasmine, Zhang, Ting, Chouhal, Ouahiba, Bounezra, Mourad, Saidi, Karima, Bezza, Youcef, Snani, Aissa

Volltext

Deeppipe: A semi-supervised learning for operating condition recognition of multi-product pipelines von Jianqin Zheng, Jian Du, Yongtu Liang, Qi Liao, Zhengbing Li, Haoran Zhang, Yi Wu

Volltext

Data-driven Non-uniform Filterbanks Based on F-ratio for Machine Anomalous Sound Detection von Li, Kai, Tran, Dung Kim, Lu, Xugang, Akagi, Masato, Unoki, Masashi

“… ). This LNS feature is input to an autoencoder NN-based detector for anomalous sound detection …”
Volltext