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检索条件"主题词=autoencoder"
4279 条 记 录,以下是381-390 订阅
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Research on Defect Category Identification Method for Rough Surface Thick Wall Steel Plate Based on autoencoder-BP Neural Network  9
Research on Defect Category Identification Method for Rough ...
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9th International Conference on Automation, Control and Robotics Engineering (CACRE)
作者: Xue, Biao Wang, YuHang Yang, Yang Dang, LiJun Dian, SongYi Gongzui Hydropower Plant Guoneng Dadu River Basin Leshan Peoples R China Sichuan Univ Coll Elect Engn Chengdu Peoples R China
For the processing of echo signals in defect detection, wavelet transform and principal component analysis are mostly used to extract features. However, the feature values obtained by these methods often lead to redun... 详细信息
来源: 评论
Masked Dual Graph autoencoder for Attributed Graph Community Detection
Masked Dual Graph Autoencoder for Attributed Graph Community...
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International Joint Conference on Neural Networks (IJCNN)
作者: Li, Mingjiao Chu, Xing Luo, Miao Zhao, Haiyang Jiang, Hanxing Yunnan Univ Sch Software Kunming Yunnan Peoples R China
Community detection intends to cluster graph nodes with relevant information, and community detection for attributed graphs is of great practical importance. However, the existing work is still insufficient in terms o... 详细信息
来源: 评论
Cooperative Coevolutionary Spatial Topologies for autoencoder Training
Cooperative Coevolutionary Spatial Topologies for Autoencode...
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Hemberg, Erik Toutouh, Jamal O'Reilly, Una-May Univ Malaga Malaga Spain MIT Cambridge MA 02139 USA
Training autoencoders is non-trivial. Convergence to the identity function or over fitting are common pitfalls. Population based algorithms like coevolutionary algorithms can provide diversity. To more robustly train ... 详细信息
来源: 评论
PAPR Reduction of GFDM Signals Using Encoder-Decoder Neural Network (autoencoder)
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NATIONAL ACADEMY SCIENCE LETTERS-INDIA 2023年 第3期46卷 213-217页
作者: Chakravarty, Sumit Kumar, Arun Kennesaw State Univ Elect & Comp Engn Kennesaw GA USA New Horizon Coll Engn Dept Elect & Commun Engn Bengaluru India
These days, one of the major downsides of Generalized Frequency Division Multiplexing (GFDM) systems is a high peak-to-average power ratio (PAPR). In this research, we present a novel deep learning autoencoder-based m... 详细信息
来源: 评论
AUTOSEN: IMPROVING AUTOMATIC WIFI HUMAN SENSING THROUGH CROSS-MODAL autoencoder  49
AUTOSEN: IMPROVING AUTOMATIC WIFI HUMAN SENSING THROUGH CROS...
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49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Gao, Qian Hao, Yanling Liu, Yuanwei Queen Mary Univ London London England
WiFi human sensing is highly regarded for its low-cost and privacy advantages in recognizing human activities. However, its effectiveness is largely confined to controlled, single-user, line-of-sight settings, limited... 详细信息
来源: 评论
Offline Signature Verification with autoencoder-CNN Hybrid Feature Extraction for Improved Fake Signature Detection  1
Offline Signature Verification with Autoencoder-CNN Hybrid F...
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1st International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE)
作者: Swamy, B. Narasimha Kumar, D. Lokesh Sai Jyothi, Ketha Lalitha Shiva Harika, Maddipati Vijaya Gowthami, Kancharla Karthik, B. Rahul PVP Siddhartha Inst Technol Dept CSE Vijayawada India
A novel approach aimed at elevating the performance of offline signature verification systems by harnessing the combined power of autoencoders and Convolutional Neural Networks (CNNs). Our evaluation encompassed Convo... 详细信息
来源: 评论
Time Series Anomaly Detection Methods Incorporating Wavelet Decomposition and Temporal Decoupled autoencoder  27
Time Series Anomaly Detection Methods Incorporating Wavelet ...
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27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
作者: Ye, Lishuo He, Zhixue Civil Aviat Univ China Coll Comp Sci & Technol Tianjin Peoples R China
Time series anomaly detection is one of the critical tasks in time series analysis. There are many existing works using autoencoders for time series anomaly detection;however, autoencoders can not only reconstruct nor... 详细信息
来源: 评论
Enhancing IoT Security with a Hardware Accelerated Machine Learning Model coupling autoencoder and Long-Short-Term-Memory for Anomaly Detection
Enhancing IoT Security with a Hardware Accelerated Machine L...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: Jung, Kuchul Woo, Jongseok Mukhopadhyay, Saibal Georgia Inst Technol Atlanta GA 30332 USA
This paper proposes a hardware accelerator for machine learning-based anomaly detection to enhance IoT security. Our model integrates Multilayer Perceptron (MLP) with Long Short-Term Memory (LSTM), utilizing an MLP-ba... 详细信息
来源: 评论
Color Image Classifier Based on Two-Stage Learning autoencoder  7
Color Image Classifier Based on Two-Stage Learning Autoencod...
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7th International Conference on Artificial Intelligence and Big Data (ICAIBD)
作者: Chou, Tzren-Ru Ku, You-Jia Natl Taiwan Normal Univ Dept Graph Arts & Commun Taipei Taiwan
Analyzing colors in images is an approach to understanding semantic meaning. However, existing research often faces challenges due to limited dataset sizes or the need to create custom datasets. Insufficient data can ... 详细信息
来源: 评论
Residual Convolutional Neural Network With autoencoder Based Attention For PolSAR Image Classification  13
Residual Convolutional Neural Network With Autoencoder Based...
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13th Iranian/3rd International Machine Vision and Image Processing Conference (MVIP)
作者: Imani, Maryam Tarbiat Modares Univ Fac Elect & Comp Engn Tehran Iran
The polarimetric synthetic aperture radar (PolSAR) images contain fine characteristics and abstract spatial features, which attention to them can improve the classification accuracy. In this work, the residual convolu... 详细信息
来源: 评论