Search Results - Sparse denoising autoencoder

Hyperspectral image classification using k-sparse denoising autoencoder and spectral–restricted spatial characteristics by Lan, Rushi, Li, Zeya, Liu, Zhenbing, Gu, Tianlong, Luo, Xiaonan

“… This paper proposes a novel k-sparse denoising autoencoder (KDAE) with a softmax classifier for HSI classification…”
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Denoising Sparse Autoencoder-Based Ictal EEG Classification by Qiu, Yang, Zhou, Weidong, Yu, Nana, Du, Peidong

“… This paper presents an EEG classification framework based on the denoising sparse autoencoder…”
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Electricity theft detection based on stacked sparse denoising autoencoder by Huang, Yifan, Xu, Qifeng

“…Inspired by the powerful feature extraction and the data reconstruction ability of autoencoder, a stacked sparse denoising autoencoder is developed for electricity theft detection in this paper…”
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Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings by Zhu, Haiping, Cheng, Jiaxin, Zhang, Cong, Wu, Jun, Shao, Xinyu

“…This paper proposes a new stacked pruning sparse denoising autoencoder (sPSDAE) model for intelligent fault diagnosis of rolling bearings…”
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Research on denoising sparse autoencoder by Meng, Lingheng, Ding, Shifei, Xue, Yu

“… In order to extract useful features, meanwhile improve robustness and overcome overfitting, we studied denoising sparse autoencoder through adding corrupting operation and sparsity constraint to traditional autoencoder…”
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Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier by Liu, Jinping, Xu, Longcheng, Xie, Yongfang, Ma, Tianyu, Wang, Jie, Tang, Zhaohui, Gui, Weihua, Yin, Huazhan, Jahanshahi, Hadi

“…This article proposes a robust end-to-end deep learning-induced fault recognition scheme by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked spare-denoising autoencoder (SSDAE…”
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Low-dose CT restoration via stacked sparse denoising autoencoders by Liu, Yan, Zhang, Yi

“… Stacked sparse denoising autoencoders, which were designed originally for training noisy samples, are adopted to construct the architecture…”
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A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques by Kumar, Santosh, Kumar, Sunil, Shafi, Mehak, Chaube, Mithilesh Kumar

“… This paper proposes an automatic recognition system to identify cattle based on face and muzzle image features using sparse Stacked Denoising Autoencoder (SDAE…”
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Towards robust and understandable fault detection and diagnosis using denoising sparse autoencoder and smooth integrated gradients by Peng, Peng, Zhang, Yi, Wang, Hongwei, Zhang, Heming

“… In this paper, a two-step robust and understandable fault detection and diagnosis framework is developed to address this challenge by exploiting denoising sparse autoencoder and smooth integrated gradients…”
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Face recognition via Deep Stacked Denoising Sparse Autoencoders (DSDSA) by Görgel, Pelin, Simsek, Ahmet

“… In this paper, the proposed face recognition system namely Deep Stacked Denoising Sparse Autoencoders (DSDSA…”
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Research of stacked denoising sparse autoencoder by Meng, Lingheng, Ding, Shifei, Zhang, Nan, Zhang, Jian

“… In order to present data more efficiently and study how to express data through deep networks, we propose a novel stacked denoising sparse autoencoder in this paper…”
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Classification model of electricity consumption behavior based on sparse denoising autoencoder feature dimensionality reduction and spectral clustering by Huang, Yifan, Yao, Zhengnan, Xu, Qifeng

“…•A classification model of electricity consumption based on sparse denoising autoencoder and spectral clustering is proposed…”
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A stacked convolutional sparse denoising autoencoder model for underwater heterogeneous information data by Wang, Xingmei, Zhao, Yixu, Teng, Xuyang, Sun, Weiqi

“…•A novel stacked convolutional sparse denoising autoencoder (SCSDA) model is proposed.•The unrelated dataset was developed to simulate the underwater heterogeneous information data as the training set…”
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Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification by Vaiyapuri, Thavavel, Alaskar, Haya, Syed, Liyakathunisa, Aljohani, Eman, Alkhayyat, Ahmed, Shankar, K., Kumar, Sachin

“…•Present an optimal SSDAE to classify cervical cancer on pap smear images.•Employ Kapur's entropy segmentation and efficientnet feature extraction.•Propose…”
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Early fault detection method for nuclear power plants based on sparse denoising autoencoder and kernel principal component analysis by Yin, Wenzhe, Xia, Hong, Huang, Xueying, Shan, Longfei, Ran, Wenhao, Jia, Zhujun

“…). To accurately identify early faults in NPPs, this study proposes a novel fault detection method based on sparse denoising autoencoder (SDAE…”
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Decoding whole-genome mutational signatures in 37 human pan-cancers by denoising sparse autoencoder neural network by Pei, Guangsheng, Hu, Ruifeng, Dai, Yulin, Zhao, Zhongming, Jia, Peilin

“…Millions of somatic mutations have recently been discovered in cancer genomes. These mutations in cancer genomes occur due to internal and external mutagenesis…”
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Low-level structure feature extraction for image processing via stacked sparse denoising autoencoder by Fan, Zunlin, Bi, Duyan, He, Linyuan, Shiping, Ma, Gao, Shan, Li, Cheng

“… In this paper, we propose a novel low-level structure feature extraction for image processing based on deep neural network, stacked sparse denoising autoencoder (SSDA…”
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A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings by Sun, Meidi, Wang, Hui, Liu, Ping, Huang, Shoudao, Fan, Peng

“…•Fault diagnosis by stacked autoencoder requires less professional knowledge.•Domain adaptation by optimized transfer learning reduces the algorithm’s complexity…”
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Dynamic video anomaly detection and localization using sparse denoising autoencoders by Narasimhan, Medhini G., S., Sowmya Kamath

“… A unique sparse denoising autoencoder architecture is used, that significantly reduced…”
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Flatness pattern recognition based on stacked sparse denoising autoencoder and improved Osprey optimisation algorithm kernel-extreme learning machine by Zhou, Yaluo, Zhang, Shaochuan, Liu, Wenguang, Zhang, Ruicheng

“… proposes a flatness recognition method based on stack sparse denoising autoencoder (SSDAE) with improved Osprey optimisation algorithm kernel-extreme learning machine…”
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