Search Results - "Sparse denoising autoencoder"

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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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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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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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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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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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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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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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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Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder by Wang, Changmiao, Elazab, Ahmed, Jia, Fucang, Wu, Jianhuang, Hu, Qingmao

“… during mass chest screening so as to obtain the probability confidence of the CXRs. Moreover, a convolutional sparse denoising autoencoder is designed to compute the reconstruction error…”
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Fault diagnosis of aircraft engines based on multi-sensor fusion sparse denoising autoencoder by He, ShiJie, Wang, Zhi-Ming, Liu, Kun-Zhi, Sun, Xi-Ming

“… Therefore, this article proposes an aeroengine fault diagnosis method based on multisensor fusion and sparse denoising autoencoder, which comprehensively considers multi-sensor decision-making…”
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Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network by Yang, Pu, Wen, Chenwan, Geng, Huilin, Liu, Peng

“…This paper introduces a new intelligent fault diagnosis method based on stack pruning sparse denoising autoencoder and convolutional neural network (sPSDAE-CNN…”
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Suspect Multifocus Image Fusion Based on Sparse Denoising Autoencoder Neural Network for Police Multimodal Big Data Analysis by Wang, Jin, Gao, Yanfei

“…In recent years, the success rate of solving major criminal cases through big data has been greatly improved. The analysis of multimodal big data plays a key…”
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Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder by Dai, Juying, Tang, Jian, Shao, Faming, Huang, Shuzhan, Wang, Yangyang

“… To realize representative features mining and automatic recognition of bearing health condition, a diagnostic model of stacked sparse denoising autoencoder (SSDAE…”
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A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion by Ghosh, Swarup Kr, Biswas, Biswajit, Ghosh, Anupam

“…This paper proposes a deep unsupervised learning based denoising autoencoder model for the restoration of degraded mammogram with visual interpretation of…”
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Sparse Denoising Autoencoder Application in Identification of Counterfeit Pharmaceutical by Yang, Hui-hua, Luo, Zhi-chao, Jiang, Shu-jie, Zhang, Xue-bo, Yin, Li-hui

“…Near-infrared(NIR)As a fast and non-destructive testing technology, spectroscopy techniques is very suitable for pharmaceutical discrimination. Autoencoder…”
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Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment by Yang, Eunmok, Jeong, Sooyong, Seo, Changho

“…The swift development of the Internet of Things (IoT) devices has created a pressing need for effective cybersecurity measures. They are vulnerable to…”
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An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach by Samal, K. Krishna Rani, Panda, Ankit Kumar, Babu, Korra Sathya, Das, Santos Kumar

“…Air pollution forecasting is a significant step for air quality pollution management to mitigate pollution’s negative impact on the environment and people’s…”
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SupRes: Facial Image Upscaling Using Sparse Denoising Autoencoder by Agrawal, Manan, Anwar, Mohd Ayaan, Saroha, Nakul, Goel, Anurag

“… This study proposes the Sparse Denoising Autoencoders (SDAEs) for upscaling blurry images. The performance of the proposed SDAEs is then compared with the deep learning architecture, Pix2Pix Generative Adversarial Networks (GANs…”
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