Search Results - "denoising autoen-coder"

An Effective Deep Learning Based Scheme for Network Intrusion Detection by Zhang, Hongpo, Wu, Chase Q., Gao, Shan, Wang, Zongmin, Xu, Yuxiao, Liu, Yongpeng

“…Intrusion detection systems (IDS) play an important role in the protection of network operations and services. In this paper, we propose an effective network…”
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Study on State of Health of Power Battery Prediction Using Denoising Autoencoder and Bidirectional Long Short-Term Memory Networks by Bao, Caijilahu, Wang, Xin, Ma, Zhiqiang, Liu, Guangchen, Gao, Jundong, Gao, Wenjun

“…The capacity of a power battery gradually decreases with long-term use and is reflected by the state of health. Accurately predicting the state of health of a…”
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Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness by Huo, Zepeng, Ji, Taowei, Liang, Yifei, Huang, Shuai, Wang, Zhangyang, Qian, Xiaoning, Mortazavi, Bobak

“… We propose a model, termed as DynImp, to handle different time point's missingness with nearest neighbors along feature axis and then feeding the data into a LSTM-based denoising autoen-coder…”
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Deep-Learning-based Channel Estimation for Chaotic Wireless Communication by Yin, Hui-Ping, Zhao, Xiao-Hui, Yao, Jun-Ling, Ren, Hai-Peng

“…A deep-learning-based channel estimation method for chaotic wireless communication is proposed in this letter, which is based on a deep neural network (DNN)…”
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A Comprehensive Exploration of Noise Robustness and Noise Compensation in ResNet and TDNN-based Speaker Recognition Systems by MohammadAmini, Mohammad, Matrouf, Driss, Bonatsre, Jean-Francois, Dowerah, Sandipana, Serizel, Romain, Jouvet, Denis

“… Our experimental results show that in all cases the ResNet system is more robust than TDNN. After that, a noise compensation task is done with denoising autoen-coder (DAE…”
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Fully convolutional denoising autoencoder for 3D scene reconstruction from a single depth image by Palla, Alessandro, Moloney, David, Fanucci, Luca

“…In this work, we propose a 3D scene reconstruction algorithm based on a fully convolutional 3D denoising autoencoder neural network. The network is capable of…”
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Automatic Enhancement of Two-Dimensional Gel electrophoresis images using Denoising Autoencoder by Ahmed, Aya Saleh, El-Behaidy, Wessam H., Youssif, Aliaa A. A.

“…) that strongly affect spot detection or pixel-based methods. Denoising autoen-coders (DAE) is a new approach in deep learning used in image denoising that has a challenging performance…”
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Deep Learning Hyperspectral Image Classification using Multiple Class-Based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations by Ball, John E., Wei, Pan

“…Herein, we present a system for hyperspectral image segmentation that utilizes multiple class-based denoising autoen-coders which are efficiently trained…”
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