Výsledky vyhledávání - "Sparse denoising autoencoder (SDAE)"

Effective Flood prediction model based on Twitter Text and Image analysis using BMLP and SDAE-HHNN Autor Kamoji, Supriya, Kalla, Mukesh

“…In recent years, social media platforms such as Twitter have garnered a lot of interest as a new source of text data for quick flood awareness and effective…”
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Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection Autor Wang, Shigang, Zhang, Xiangyuan, Zhao, Yifan, Yu, Haozi, Li, Bin

“…As an effective physical field feature to perceive ferromagnetic targets, magnetic anomaly is widely used in covert marine surveillance tasks. However, its…”
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Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment Autor 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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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments Autor Nalinipriya, G., Rama Sree, S., Radhika, K., Laxmi Lydia, E., Karim, Faten Khalid, Ishak, Mohamad Khairi, Mostafa, Samih M.

“…Cybersecurity has often gained much popularity over the years in a fast-evolving discipline, as the number of cybercriminals and threats rises consistently to…”
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Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network Autor Li, Ronglin, Wu, Qiang, Liu, Ju, Wu, Qi, Li, Chao, Zhao, Qibin

“… In this paper, we propose a novel method based on Long Short-Term Memory (LSTM) and a sparse denoising autoencoder (SDAE…”
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Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier Autor Liu, Jinping, Xu, Longcheng, Xie, Yongfang, Ma, Tianyu, Wang, Jie, Tang, Zhaohui, Gui, Weihua, Yin, Huazhan, Jahanshahi, Hadi

“…)-Softmax, for the fault identification of complex industrial processes (CIPs). Specifically, sparse denoising autoencoder (SDAE…”
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Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders Autor Freiman, Moti, Manjeshwar, Ravindra, Goshen, Liran

“…Purpose The purpose of this study is to introduce and evaluate the mixed structure regularization (MSR) approach for a deep sparse autoencoder aimed at…”
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Early fault detection method for nuclear power plants based on sparse denoising autoencoder and kernel principal component analysis Autor 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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Classification model of electricity consumption behavior based on sparse denoising autoencoder feature dimensionality reduction and spectral clustering Autor Huang, Yifan, Yao, Zhengnan, Xu, Qifeng

“…•A classification model of electricity consumption based on sparse denoising autoencoder and spectral clustering is proposed.•The SDAE and the manually…”
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The fault diagnosis method of rolling bearing under variable working conditions based on deep transfer learning Autor Dong, Shaojiang, He, Kun, Tang, Baoping

“… accuracy, a fault diagnosis method about rolling bearing based on sparse denoising autoencoder (SDAE…”
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Residential Electricity Behavior Classification Model Based on Sparse Denoising Autoencoder And K-Means Autor Yao, Zhengnan, Wei, Feishen, Huang, Yifan

“… an electricity consumption behavior classification model based on sparse denoising autoencoder (SDAE…”
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RF-based Direction Finding of UAVs Using DNN Autor Abeywickrama, Samith, Jayasinghe, Lahiru, Fu, Hua, Nissanka, Subashini, Yuen, Chau

“…This paper presents a sparse denoising autoencoder (SDAE)-based deep neural network (DNN…”
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RF-Based Direction Finding of UAVs Using DNN Autor Samith Abeywickrama, Jayasinghe, Lahiru, Fu, Hua, Nissanka, Subashini, Chau Yuen

“…This paper presents a sparse denoising autoencoder (SDAE)-based deep neural network (DNN…”
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SupRes: Facial Image Upscaling Using Sparse Denoising Autoencoder Autor 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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