Suchergebnisse - sparse stacked denoising autoencoder

Electricity theft detection based on stacked sparse denoising autoencoder von 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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A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques von 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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A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings von 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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Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier von 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 von 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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Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings von 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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Face recognition via Deep Stacked Denoising Sparse Autoencoders (DSDSA) von 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 von 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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Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification von 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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Building feature space of extreme learning machine with sparse denoising stacked-autoencoder von Cao, Le-le, Huang, Wen-bing, Sun, Fu-chun

“… Deep learning algorithms such as stacked autoencoder (SAE) and deep belief network (DBN) are built on learning several levels of representation of the input …”
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Low-level structure feature extraction for image processing via stacked sparse denoising autoencoder von 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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Adaptive Diagnosis for Transformer with Unknown Faults Based on Antenna-Augmented RFID Sensor and Deep Learning von Wang, Tao, Xiao, Yanxia, Li, Bing, He, Yigang

“… Therefore, an adaptive fault diagnosis method consisting of sparse stacked 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 von 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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A Stacked Denoising Sparse Autoencoder Based Fault Early Warning Method for Feedwater Heater Performance Degradation von Li, Xingshuo, Liu, Jinfu, Li, Jiajia, Li, Xianling, Yan, Peigang, Yu, Daren

“… Therefore, this paper proposes a stacked denoising sparse autoencoder (SDSAE) based fault early warning method for FWH …”
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Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine von Zhang, Nana, Ying, Shi, Zhu, Kun, Zhu, Dandan

“… To address these two issues, a novel defect prediction model called SSEPG based on Stacked Sparse Denoising AutoEncoders (SSDAE …”
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Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder von Yang, Peixuan, Wei, Chiju, Zhang, Lili, Yang, Kaiji, Li, Zexin, Xu, Wencan

“… s. Immune-related genes were used to construct the classifier with stacked denoising sparse autoencoder. Results …”
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A stacked convolutional sparse denoising autoencoder model for underwater heterogeneous information data von 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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Network intrusion detection based on Contractive Sparse Stacked Denoising Autoencoder von Lu, Jizhao, Meng, Huiping, Li, Wencui, Liu, Yue, Guo, Yihao, Yang, Yang

“… identify and classify network intrusion data, this paper proposes a Contractive Sparse Stack Denoising Autoencoder(CSSDAE …”
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A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion von 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 breast lumps or lesion in mammography images (called SSDAE …”
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Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder von 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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