Suchergebnisse - improved stacked sparse denoising autoencoder

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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Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance von Xiao, Fei, Lu, Tianguang, Wu, Mingli, Ai, Qian

“… Then, an improved stacked sparse denoising autoencoder combined with supervised backpropagation training is proposed as a robust classifier. Results show that the proposed method is suitable for detecting various types of PQ disturbances and possesses high recognition accuracy despite insufficient training samples …”
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Learning social representations with deep autoencoder for recommender system von Pan, Yiteng, He, Fazhi, Yu, Haiping

“… Based on the intuition that users are influenced by their social friends, these methods are capable of addressing the data sparse problem and improving the performance of recommender systems …”
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K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder von Bi, Yandong, Wang, Peng, Guo, Xuchao, Wang, Zhijun, Cheng, Shuhan

“… How to speed up training is a problem deserving of study. In order to accelerate training, K-means clustering optimizing deep stacked sparse autoencoder (K-means sparse SAE …”
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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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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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M-ary Phase Position Shift Keying Demodulation Using Stacked Denoising Sparse Autoencoders von Lu, Conghui, Chen, Peng, Zhong, Hua, Wang, Mengyuan

“… The major components of this detector include a special impact filter, a stacked denoising sparse autoencoder (DSAE …”
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Accurate prediction of drug-target interactions in Chinese and western medicine by the CWI-DTI model von Li, Ying, Zhang, Xingyu, Chen, Zhuo, Yang, Hongye, Liu, Yuhui, Wang, Huiqing, Yan, Ting, Xiang, Jie, Wang, Bin

“… Computational methods have significantly improved the efficiency of experimental predictions for drug-target interactions in Western medicine …”
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COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter von Guo, Shuli, Wang, Guowei, Han, Lina, Song, Xiaowei, Yang, Wentao

“… CT image of COVID-19 is disturbed by impulse noise during transmission and acquisition. Aiming at the problem that the early lesions of COVID-19 are not …”
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Deep-Learning-Enabled Security Issues in the Internet of Things von Lv, Zhihan, Qiao, Liang, Li, Jinhua, Song, Houbing

“… ), stacked contractive autoencoder (SCAE), stacked sparse autoencoder (SSAE), deep belief network (DBN …”
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Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques von Prabhakar, Sunil Kumar, Lee, Seong-Whan

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Cross-Domain Recommendations via Aspect Sentiment Feature Extraction Using Large Language Models (CRAS-LLM) von Zeeshan, Muhammad Zohaib

“… Cross-domain recommendation systems (CDRS) are designed to suggest products from one domain to another by analyzing data (i.e., user reviews) across multiple …”
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