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
  • 51 篇 学位论文
  • 2 册 图书
  • 1 篇 资讯

馆藏范围

  • 4,251 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

  • 4,251 篇 autoencoder
  • 1,035 篇 deep learning
  • 430 篇 anomaly detectio...
  • 364 篇 machine learning
  • 236 篇 feature extracti...
  • 154 篇 convolutional ne...
  • 152 篇 neural network
  • 152 篇 unsupervised lea...
  • 129 篇 neural networks
  • 108 篇 lstm
  • 107 篇 training
  • 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...
  • 7 篇 brno university ...
  • 6 篇 queens univ dept...
  • 6 篇 new jersey inst ...

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

  • 4,089 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"
4251 条 记 录,以下是281-290 订阅
排序:
Energy Conservation in Wireless Sensor Networks Using Partly-Informed Sparse autoencoder
收藏 引用
IEEE ACCESS 2019年 7卷 63346-63360页
作者: Ayinde, Babajide O. Barnawi, Abdulaziz Y. King Fahd Univ Petr & Minerals Dept Syst Engn Dhahran 31261 Saudi Arabia King Fahd Univ Petr & Minerals Dept Comp Engn Dhahran 31261 Saudi Arabia Univ Louisville Dept Elect & Comp Engn Louisville KY 40292 USA
The energy in wireless sensor networks is considered a scarce commodity, especially in scenarios where it is difficult or impossible to provide supplementary energy sources once the initially available energy is used ... 详细信息
来源: 评论
An interpretable health indicator for bearing condition monitoring based on semi-supervised autoencoder latent space variance maximization
收藏 引用
MEASUREMENT SCIENCE AND TECHNOLOGY 2023年 第12期34卷 125135-125135页
作者: Chen, Xieyi Wang, Yi Meng, Lihua Qin, Yi Tang, Baoping Chongqing Univ Coll Mech & Vehicle Engn Chongqing 400044 Peoples R China Chongqing Univ State Key Lab Mech Transmiss Chongqing 400044 Peoples R China
Effective health indicator (HI) construction can help equipment managers detect the abnormal state of rotating machinery quickly. However, although the current deep learning-based HI construction methods have good lif... 详细信息
来源: 评论
Multi-task deep autoencoder to predict Alzheimer's disease progression using temporal DNA methylation data in peripheral blood
收藏 引用
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL 2022年 20卷 5761-5774页
作者: Chen, Li Saykin, Andrew J. Yao, Bing Zhao, Fengdi Univ Florida Dept Biostat Gainesville FL 32603 USA Indiana Univ Sch Med Dept Radiol & Imaging Sci Indianapolis IN 46202 USA Emory Univ Dept Human Genet Atlanta GA 30322 USA
Traditional approaches for diagnosing Alzheimer's disease (AD) such as brain imaging and cerebrospinal fluid are invasive and expensive. It is desirable to develop a useful diagnostic tool by exploiting biomark-er... 详细信息
来源: 评论
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems
收藏 引用
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2019年 85卷 634-644页
作者: Borghesi, Andrea Bartolini, Andrea Lombardi, Michele Milano, Michela Benini, Luca Univ Bologna DISI Viale Risorgimento 2 I-40123 Bologna Italy Univ Bologna DEI Viale Risorgimento 2 I-40123 Bologna Italy Swiss Fed Inst Technol Integrated Syst Lab Zurich Switzerland
High Performance Computing (HPC) systems are complex machines with heterogeneous components that can break or malfunction. Automated anomaly detection in these systems is a challenging and critical task, as HPC system... 详细信息
来源: 评论
Spatial-Aware Hyperspectral Nonlinear Unmixing autoencoder With Endmember Number Estimation
收藏 引用
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2022年 15卷 20-41页
作者: Shahid, Kazi Tanzeem Schizas, Ioannis D. Univ Texas Arlington Dept Elect Engn Arlington TX 76019 USA
In this article, we develop a novel fully unsupervised autoencoder-based scheme for nonlinear hyperspectral pixel unmixing. A unique approach is derived where high noise and unresponsive pixels are accounted for, by a... 详细信息
来源: 评论
LTScoder: Long-Term Time Series Forecasting Based on a Linear autoencoder Architecture
收藏 引用
IEEE ACCESS 2024年 12卷 98623-98633页
作者: Kim, Geunyong Yoo, Hark Kim, Chorwon Kim, Ryangsoo Kim, Sungchang Elect & Telecommun Res Inst Honam Res Div Gwangju 34129 South Korea
A long-term time series forecasting (LTSF) model named LTScoder based on a linear autoencoder architecture is presented in this paper. LTScoder performs feature extraction through an encoder to generate a latent vecto... 详细信息
来源: 评论
Analysis of different RNN autoencoder variants for time series classification and machine prognostics
收藏 引用
MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2021年 149卷 107322-107322页
作者: Yu, Wennian Kim, Il Yong Mechefske, Chris Chongqing Univ Coll Mech Engn Chongqing 400044 Peoples R China Queens Univ Dept Mech & Mat Engn Kingston ON K7L 3N6 Canada
Recurrent neural network (RNN) based autoencoders, trained in an unsupervised manner, have been widely used to generate fixed-dimensional vector representations or embeddings for varying length multivariate time serie... 详细信息
来源: 评论
Multitask Air-Quality Prediction Based on LSTM-autoencoder Model
收藏 引用
IEEE TRANSACTIONS ON CYBERNETICS 2021年 第5期51卷 2577-2586页
作者: Xu, Xinghan Yoneda, Minoru Kyoto Univ Dept Environm Engn Kyoto 6158540 Japan
With the development of the data-driven modeling techniques, using the neural network to simulate the transport process of atmospheric pollutants and constructing PM2.5 time-series prediction model have become a hot t... 详细信息
来源: 评论
Application of Extreme Learning Machine- autoencoder to Medium Term Electricity Price Forecasting
收藏 引用
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2023年 第6期59卷 7214-7223页
作者: Najafi, Arsalan Homaee, Omid Golshan, Mehdi Jasinski, Michal Leonowicz, Zbigniew Wroclaw Univ Sci & Technol Fac Elect Engn Dept Elect Engn Fundamentals PL-50370 Wroclaw Poland Islamic Azad Univ Dept Comp Engn Sepidan Branch Sepidan *** Iran VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Elect Power Engn Ostrava 70800 Czech Republic
Electricity market prices are highly volatile, highly frequent, non-linear, and non-stationary which makes forecasting very complicated. Although accurate forecasting plays a crucial role in the electricity market for... 详细信息
来源: 评论
Perturbation AUTOVC: Voice Conversion From Perturbation and autoencoder Loss
收藏 引用
IEEE ACCESS 2023年 11卷 140174-140185页
作者: Park, Hwa-Young Lee, Young Han Chun, Chanjun Chosun Univ Dept Comp Engn Gwangju 61452 South Korea Korea Elect Technol Inst KETI Intelligent Image Proc Res Ctr Seongnam 13509 South Korea
AUTOVC is a voice-conversion method that performs self-reconstruction using an autoencoder structure for zero-shot voice conversion. AUTOVC has the advantage of being easy and simple to learn because it only uses the ... 详细信息
来源: 评论