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461-470 订阅
排序:
Stock market network based on bi-dimensional histogram and autoencoder
收藏 引用
INTELLIGENT DATA ANALYSIS 2022年 第3期26卷 723-750页
作者: Choi, Sungyoon Gwak, Dongkyu Song, Jae Wook Chang, Woojin Seoul Natl Univ Dept Ind Engn Seoul 08826 South Korea Hanyang Univ Dept Ind Engn Seoul South Korea Seoul Natl Univ Inst Ind Syst Innovat Seoul South Korea Seoul Natl Univ SNU Inst Res Finance & Econ Seoul South Korea
In this study, we propose a deep learning related framework to analyze S&P500 stocks using bi-dimensional histogram and autoencoder. The bi-dimensional histogram consisting of daily returns of stock price and stoc... 详细信息
来源: 评论
autoencoder-based OFDM for Agricultural Image Transmission  10
Autoencoder-based OFDM for Agricultural Image Transmission
收藏 引用
10th International Conference on Advanced Cloud and Big Data (CBD)
作者: Li, Dongbo Liu, Xiangyu Shao, Yuxuan Sun, Yuchen Cheng, Siyao Liu, Jie Harbin Inst Technol Fac Comp IoT & Ambient Intelligence Res Ctr Harbin Peoples R China Harbin Inst Technol Fac Comp Harbin Peoples R China Harbin Inst Technol Shenzhen Int Res Inst AI Shenzhen Peoples R China
With the rapid development of the Internet of Things (IoT), smart agricultural puts forward higher demands on the transmission of agricultural big data. This paper proposes an end-to-end learning communication with au... 详细信息
来源: 评论
Multi-local Collaborative autoencoder
收藏 引用
KNOWLEDGE-BASED SYSTEMS 2022年 239卷 107844-107844页
作者: Chu, Jielei Wang, Hongjun Liu, Jing Gong, Zhiguo Li, Tianrui Southwest Jiaotong Univ Sch Comp & Artificial Intelligence Chengdu 611756 Peoples R China Southwest Jiaotong Univ Inst Artificial Intelligence Chengdu 611756 Peoples R China Sichuan Univ Sch Business Chengdu 610065 Sichuan Peoples R China Univ Macau Dept Comp & Informat Sci State Key Lab Internet Things Smart City Macau Peoples R China
The excellent performance of representation learning of autoencoders have attracted considerable interest in various applications. However, the structure and multi-local collaborative relationships of unlabeled data a... 详细信息
来源: 评论
Graph Laplacian-Improved Convolutional Residual autoencoder for Unsupervised Human Action and Emotion Recognition
收藏 引用
IEEE ACCESS 2022年 10卷 131128-131143页
作者: Paoletti, Giancarlo Beyan, Cigdem Del Bue, Alessio Fdn Ist Italiano Tecnol IIT Pattern Anal & Comp Vis PAVIS Res Line Genoa Italy Fdn Ist Italiano Tecnol IIT Pattern Anal & Comp Vis PAVIS Res Line Genoa Italy Fdn Ist Italiano Tecnol IIT Pattern Anal & Comp Vis PAVIS Res Line Genoa Italy
This paper presents an unsupervised feature learning approach based on 3D-skeleton data for human action and human discrete emotion recognition. Relying on the time series of skeleton data analysis to perform such tas... 详细信息
来源: 评论
A Graph Attention-Based autoencoder for Critical Path Anomaly Detection in Microservices  15
A Graph Attention-Based Autoencoder for Critical Path Anomal...
收藏 引用
15th International Conference on Information and Knowledge Technology, IKT 2024
作者: Naderi, Mahdi Momeni, Hossein Shahini, Shayan Computer Engineering Department Golestan University Gorgan Iran
In complex microservice architectures, detecting performance anomalies is a critical challenge for ensuring system stability and efficiency. This study introduces CPAnoGAT (Critical Path Anomaly detection with Graph A... 详细信息
来源: 评论
Deep Learning for Robust Adaptive Inverse Control of Nonlinear Dynamic Systems: Improved Settling Time with an autoencoder
收藏 引用
SENSORS 2022年 第16期22卷 1401-1425页
作者: Alwan, Nuha A. S. Hussain, Zahir M. Univ Baghdad Coll Engn Baghdad 10017 Iraq Edith Cowan Univ Sch Engn Joondalup WA 6027 Australia
An adaptive deep neural network is used in an inverse system identification setting to approximate the inverse of a nonlinear plant with the aim of constituting the plant controller by copying to the latter the weight... 详细信息
来源: 评论
Multi-subband fusion algorithm based on autoencoder
收藏 引用
IET SIGNAL PROCESSING 2022年 第9期16卷 1071-1084页
作者: Jiang, Yilin Zhang, Liting Li, Li Li, Jinxin Yang, Yaozu Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Peoples R China Dalian Naval Acad Dept Informat Syst Dalian Peoples R China
A novel algorithm for multi-subband signal fusion achieves performance superior to traditional all-pole model, matrix pencil algorithm and deep-neural-network (Deep neural network (DNN)). The method uses a deep-learni... 详细信息
来源: 评论
SILP-autoencoder for face de-occlusion
收藏 引用
NEUROCOMPUTING 2022年 第0期485卷 47-56页
作者: Sun, Dengdi Xie, Wandong Ding, Zhuanlian Tang, Jin Anhui Univ Sch Artificial Intelligence Key Lab Intelligent Comp & Signal Proc ICSP Minist Educ Hefei 230601 Peoples R China Anhui Univ Sch Comp Sci & Technol Anhui Prov Key Lab Multimodal Cognit Comp Hefei 230601 Peoples R China Anhui Univ Sch Internet Hefei 230039 Peoples R China
Recognizing faces with partial occlusion is a challenging problem in many real-world applications. Although various methods have been proposed to deal with the facial image de-occlusion tasks, most of them only concer... 详细信息
来源: 评论
Sparse autoencoder-based feature extraction from TOF-SIMS image data of human skin structures
收藏 引用
ANALYTICAL AND BIOANALYTICAL CHEMISTRY 2022年 第2期414卷 1177-1186页
作者: Matsuda, Kazuhiro Aoyagi, Satoka Toray Res Ctr Ltd Surface Sci Labs 3-3-7 Sonoyama Otsu Shiga 5208567 Japan Seikei Univ Fac Sci & Technol 3-3-1 Kichijoji Kitamachi Musashino Tokyo 1808633 Japan
Time-of-flight secondary ion mass spectrometry (TOF-SIMS) is a useful and versatile tool for surface analysis, enabling detailed compositional information to be obtained for the surfaces of diverse samples. Furthermor... 详细信息
来源: 评论
Residual Dense autoencoder Network for Nonlinear Hyperspectral Unmixing
收藏 引用
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2022年 15卷 5580-5595页
作者: Yang, Xu Chen, Jianguo Wang, Chengbin Chen, Zihao China Univ Geosci State Key Lab Geol Proc & Mineral Resources Wuhan 430074 Peoples R China China Univ Geosci Sch Earth Resources Wuhan 430074 Peoples R China Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430074 Peoples R China
Hyperspectral unmixing is a popular research topic in hyperspectral processing, aiming at obtaining the ground features contained in the mixed pixels and their proportion. Recently, nonlinear mixing models have receiv... 详细信息
来源: 评论