咨询与建议

限定检索结果

文献类型

  • 2,553 篇 期刊文献
  • 1,644 篇 会议
  • 44 篇 学位论文
  • 2 册 图书
  • 1 篇 资讯

馆藏范围

  • 4,244 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 3,895 篇 工学
    • 2,430 篇 计算机科学与技术...
    • 1,574 篇 电气工程
    • 678 篇 信息与通信工程
    • 413 篇 控制科学与工程
    • 376 篇 软件工程
    • 264 篇 仪器科学与技术
    • 164 篇 生物医学工程(可授...
    • 161 篇 机械工程
    • 151 篇 测绘科学与技术
    • 139 篇 电子科学与技术(可...
    • 93 篇 石油与天然气工程
    • 76 篇 环境科学与工程(可...
    • 71 篇 动力工程及工程热...
    • 69 篇 交通运输工程
    • 65 篇 材料科学与工程(可...
    • 62 篇 土木工程
    • 58 篇 化学工程与技术
    • 58 篇 网络空间安全
    • 40 篇 生物工程
    • 34 篇 力学(可授工学、理...
  • 850 篇 理学
    • 283 篇 物理学
    • 243 篇 生物学
    • 148 篇 化学
    • 137 篇 地球物理学
    • 123 篇 数学
  • 542 篇 医学
    • 342 篇 临床医学
    • 123 篇 基础医学(可授医学...
    • 83 篇 特种医学
  • 365 篇 管理学
    • 309 篇 管理科学与工程(可...
    • 36 篇 图书情报与档案管...
  • 74 篇 农学
  • 21 篇 经济学
  • 18 篇 法学
  • 14 篇 艺术学
  • 13 篇 文学
  • 11 篇 教育学
  • 3 篇 哲学
  • 1 篇 军事学

主题

  • 4,244 篇 autoencoder
  • 1,034 篇 deep learning
  • 430 篇 anomaly detectio...
  • 363 篇 machine learning
  • 236 篇 feature extracti...
  • 153 篇 convolutional ne...
  • 152 篇 unsupervised lea...
  • 149 篇 neural network
  • 128 篇 neural networks
  • 109 篇 training
  • 107 篇 lstm
  • 105 篇 classification
  • 103 篇 dimensionality r...
  • 82 篇 cnn
  • 79 篇 representation l...
  • 79 篇 clustering
  • 77 篇 transfer learnin...
  • 77 篇 decoding
  • 77 篇 deep neural netw...
  • 67 篇 convolutional ne...

机构

  • 16 篇 univ chinese aca...
  • 10 篇 cent south univ ...
  • 10 篇 univ elect sci &...
  • 9 篇 chongqing univ c...
  • 9 篇 univ chinese aca...
  • 9 篇 northwestern pol...
  • 9 篇 iiit delhi new d...
  • 9 篇 nanyang technol ...
  • 8 篇 hong kong polyte...
  • 8 篇 cent south univ ...
  • 8 篇 tianjin univ col...
  • 8 篇 univ elect sci &...
  • 8 篇 korea adv inst s...
  • 8 篇 peng cheng lab p...
  • 7 篇 china univ geosc...
  • 7 篇 chinese acad sci...
  • 7 篇 harbin engn univ...
  • 6 篇 queens univ dept...
  • 6 篇 new jersey inst ...
  • 6 篇 tsinghua univ de...

作者

  • 20 篇 majumdar angshul
  • 13 篇 wang wei
  • 7 篇 zhang lin
  • 7 篇 zhang lei
  • 7 篇 wang jian
  • 7 篇 wang hao
  • 7 篇 liu li
  • 7 篇 li bin
  • 7 篇 kim jin-young
  • 7 篇 hoydis jakob
  • 7 篇 chen wei
  • 7 篇 cho sung-bae
  • 7 篇 gao lianru
  • 7 篇 zhang wei
  • 7 篇 guo lei
  • 6 篇 wang lei
  • 6 篇 li li
  • 6 篇 wang kai
  • 6 篇 li yuan
  • 6 篇 liu jie

语言

  • 4,082 篇 英文
  • 101 篇 其他
  • 34 篇 中文
  • 7 篇 法文
  • 6 篇 德文
  • 6 篇 土耳其文
  • 2 篇 朝鲜文
  • 1 篇 西班牙文
  • 1 篇 意大利文
  • 1 篇 日文
  • 1 篇 葡萄牙文
检索条件"主题词=autoencoder"
4244 条 记 录,以下是371-380 订阅
排序:
Offline Signature Verification with autoencoder-CNN Hybrid Feature Extraction for Improved Fake Signature Detection  1
Offline Signature Verification with Autoencoder-CNN Hybrid F...
收藏 引用
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
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...
收藏 引用
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
Time Series Anomaly Detection Methods Incorporating Wavelet Decomposition and Temporal Decoupled autoencoder  27
Time Series Anomaly Detection Methods Incorporating Wavelet ...
收藏 引用
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
Color Image Classifier Based on Two-Stage Learning autoencoder  7
Color Image Classifier Based on Two-Stage Learning Autoencod...
收藏 引用
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...
收藏 引用
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
Multi-scale convolutional autoencoder network-based implicit information mining of cultural relics  9
Multi-scale convolutional autoencoder network-based implicit...
收藏 引用
Conference on Optics for Arts, Architecture, and Archaeology (O3A) IX
作者: Yu, Kai Li, Zhichao Duan, Yi Wang, Lin Wang, Jun Peng, Jinye Northwest Univ Sch Informat Sci & Technol 1 Xuefu Ave Xian Shaanxi Peoples R China Shaanxi Archaeol Museum Shaanxi Acad Archaeol 31 Leyou Rd Xian Shaanxi Peoples R China Shaanxi Prov Silk Rd Digital Protect & Inheritanc 1 Xuefu Ave Xian Shaanxi Peoples R China
Implicit information exploration techniques are of great importance for the restoration and conservation of cultural relics. At present, the hyperspectral image analysis technique is one of the main methods to extract... 详细信息
来源: 评论
A Hardware Accelerated autoencoder for RF Communication using Short-Time-Fourier-Transform Assisted Convolutional Neural Network
A Hardware Accelerated Autoencoder for RF Communication usin...
收藏 引用
27th Design, Automation and Test in Europe Conference and Exhibition (DATE)
作者: Jung, Kuchul Woo, Jongseok Mukhopadhyay, Saibal Georgia Inst Technol Atlanta GA 30332 USA
This paper presents a hardware-accelerated autoencoder (AE) for wireless communication using a Short-Time-Fourier-Transform Assisted Convolutional Neural Network (STFT-CNN-AE). The design aims to reduce the autoencode... 详细信息
来源: 评论
Combining old school autoencoder with Cotracker for improved skin feature tracking  19
Combining old school autoencoder with Cotracker for improved...
收藏 引用
IEEE 19th Conference on Industrial Electronics and Applications (ICIEA)
作者: Shi, Wei-Pei Nordling, Torbjorn E. M. Natl Cheng Kung Univ Dept Mech Engn Tainan Taiwan
Background: Skin feature tracking enables quantification of human motion in an explainable way, making it suitable for clinical assessments. Accuracy is crucial, but no study has investigated state-of-the-art deep neu... 详细信息
来源: 评论
Multi-Classification Decision Fusion Based on Stacked Sparse Shrink autoencoder and GS-Tabnet for Network Intrusion Detection  10
Multi-Classification Decision Fusion Based on Stacked Sparse...
收藏 引用
10th International Conference on Control, Decision and Information Technologies (CoDIT)
作者: Wang, Ziqi Guan, Ziyue Wu, Xiangxi Bi, Jing Yuan, Haitao Zhou, MengChu Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China New Jersey Inst Technol Dept Elect & Comp Engn Newark NJ 07102 USA
With the rapid development of the Internet, various network invasive behaviors are increasing rapidly. This seriously threatens the economic development of individuals, enterprises, and society. Network intrusion dete... 详细信息
来源: 评论
3D-HYBRID CONVOLUTIONAL autoencoder MODEL FOR HYPERSPECTRAL SATELLITE DATA COMPRESSION
3D-HYBRID CONVOLUTIONAL AUTOENCODER MODEL FOR HYPERSPECTRAL ...
收藏 引用
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Kuester, J. Gross, W. Michel, A. Schreiner, S. Middelmann, W. Heimann, M. Fraunhofer IOSB Image Anal Grp Gutleuthausstr 1 DE-76275 Ettlingen Germany Karlsruhe Inst Technol Inst Ind Informat Technol Hertzstr 16 DE-76187 Karlsruhe Germany
This work addresses the challenge of including the spatial dimension into the autoencoder models for lossy compression of different spatially independent and unknown hyperspectral datasets acquired by space-borne hype... 详细信息
来源: 评论