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

  • 3,897 篇 工学
    • 2,430 篇 计算机科学与技术...
    • 1,574 篇 电气工程
    • 679 篇 信息与通信工程
    • 414 篇 控制科学与工程
    • 376 篇 软件工程
    • 265 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...
    • 64 篇 土木工程
    • 59 篇 网络空间安全
    • 58 篇 化学工程与技术
    • 40 篇 生物工程
    • 35 篇 力学(可授工学、理...
  • 853 篇 理学
    • 284 篇 物理学
    • 245 篇 生物学
    • 148 篇 化学
    • 137 篇 地球物理学
    • 124 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
  • 12 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

  • 4,087 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441-450 订阅
排序:
Graph Attention Preemptive Traffic Aware Sparse Neural autoencoder-Based Secured Data Transmission in Cloud Computing  2
Graph Attention Preemptive Traffic Aware Sparse Neural Autoe...
收藏 引用
2nd IEEE International Conference on Data Science and Network Security, ICDSNS 2024
作者: Radha, S. Jeyalaksshmi, S. School of Computing Sciences Vels Institute of Science Technology and Advanced Studies Chennai India
With the development of several services, traffic signal preemption is carried out for emergency tasks. For performing workflow intent, cloud systems offer unlimited virtual resources for designing the traffic signal ... 详细信息
来源: 评论
Representation learning of 3D meshes using an autoencoder in the spectral domain
收藏 引用
COMPUTERS & GRAPHICS-UK 2022年 107卷 131-143页
作者: Lemeunier, Clement Denis, Florence Lavoue, Guillaume Dupont, Florent Univ Lyon CNRS INSA Lyon UCBLLIRISUMR5205 F-69622 Villeurbanne France Univ Lyon UCBL CNRS INSA LyonLIRISUMR5205 F-69622 Villeurbanne France Univ Lyon Cent Lyon CNRS INSA LyonUCBLLIRISUMR5205ENISE F-42023 Saint Etienne France
Learning on surfaces is a difficult task: the data being non-Euclidean makes the transfer of known techniques such as convolutions and pooling non trivial. Common methods deploy processes to apply deep learning operat... 详细信息
来源: 评论
Spectral-Spatial Feature Extraction With Dual Graph autoencoder for Hyperspectral Image Clustering
收藏 引用
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2022年 第12期32卷 8500-8511页
作者: Zhang, Yongshan Wang, Yang Chen, Xiaohong Jiang, Xinwei Zhou, Yicong China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China China Univ Geosci Hubei Key Lab Intelligent Geoinformat Proc Wuhan 430074 Peoples R China Univ Macau Dept Comp & Informat Sci Taipa Macau Peoples R China
autoencoder (AE) is an unsupervised neural network framework for efficient and effective feature extraction. Most AE-based methods do not consider spatial information and band correlations for hyperspectral image (HSI... 详细信息
来源: 评论
Anomaly Detection with GRU Based Bi-autoencoder for Industrial Multimode Process
收藏 引用
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2022年 第6期20卷 1827-1840页
作者: Xu, Xinyao Qin, Fangbo Zhao, Wenjun Xu, De Wang, Xingang Yang, Xihao Chinese Acad Sci Res Ctr Precis Sensing & Control Inst Automat Beijing 100190 Peoples R China Chinese Acad Sci Sch Artificial Intelligence Beijing 100190 Peoples R China State Key Lab Smart Mfg Special Vehicles & Transm Baotou City 014000 Inner Mongolia Peoples R China
The anomaly detection for multimode industrial process is a challenging problem, because the multiple operation modes present various main distributions of monitored variables, and the dynamic sequential characteristi... 详细信息
来源: 评论
Residual autoencoder Deep Neural Network for Electrical Capacitance Tomography
收藏 引用
Computers, Materials & Continua 2022年 第12期73卷 6307-6326页
作者: Wael Deabes Kheir Eddine Bouazza Department of Computer Science in Jamoum Umm Al-Qura UniversityMakkah25371Saudi Arabia Computers and Systems Engineering Department Mansoura UniversityMansoura35516Egypt Laboratoire D’Informatique et des Technologies de L’Information D’Oran(LITIO) University of Oran31000OranAlgeria
Great achievements have been made during the last decades in the field of Electrical Capacitance Tomography(ECT)image ***,there is still a need to make these image reconstruction results faster and of better ***,Deep ... 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
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
Iris Recognition using Multi Objective Artificial Bee Colony Optimization Algorithm with autoencoder Classifier
收藏 引用
NEURAL PROCESSING LETTERS 2022年 第4期54卷 3489-3505页
作者: Sheela, S., V Radhika, K. R. BMS Coll Engn Dept Informat Sci & Engn Bangalore Karnataka India
In recent decades, iris recognition is a trustworthy and important biometric model for human recognition. Criminal to commercial products, citizen confirmation and border control are few application areas. The researc... 详细信息
来源: 评论
Contrastive autoencoder for anomaly detection in multivariate time series
收藏 引用
INFORMATION SCIENCES 2022年 610卷 266-280页
作者: Zhou, Hao Yu, Ke Zhang, Xuan Wu, Guanlin Yazidi, Anis Beijing Univ Posts & Telecommun Beijing Peoples R China Norwegian Res Ctr AS Grimstad Norway Oslo Metropolitan Univ Oslo Norway Norwegian Univ Sci & Technol Trondheim Norway Oslo Univ Hosp Oslo Norway
With the proliferation of the Internet of Things, a large amount of multivariate time series (MTS) data is being produced daily by industrial systems, corresponding in many cases to life-critical tasks. The recent ano... 详细信息
来源: 评论
A shallow network for hyperspectral image classification using an autoencoder with convolutional neural network
收藏 引用
MULTIMEDIA TOOLS AND APPLICATIONS 2022年 第1期81卷 695-714页
作者: Patel, Heena Upla, Kishor P. Sardar Vallabhbhai Natl Inst Technol Surat 395007 India
This paper addresses an approach for the classification of hyperspectral imagery (HSI). In remote sensing, the HSI sensor acquires hundreds of images with narrow and continuous spectral width in visible and near-infra... 详细信息
来源: 评论