咨询与建议

限定检索结果

文献类型

  • 54 篇 期刊文献
  • 27 篇 会议

馆藏范围

  • 81 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 80 篇 工学
    • 53 篇 计算机科学与技术...
    • 31 篇 电气工程
    • 13 篇 控制科学与工程
    • 12 篇 软件工程
    • 9 篇 机械工程
    • 8 篇 信息与通信工程
    • 7 篇 仪器科学与技术
    • 3 篇 电子科学与技术(可...
    • 3 篇 测绘科学与技术
    • 2 篇 材料科学与工程(可...
    • 2 篇 生物医学工程(可授...
    • 1 篇 光学工程
    • 1 篇 动力工程及工程热...
    • 1 篇 化学工程与技术
    • 1 篇 石油与天然气工程
    • 1 篇 环境科学与工程(可...
    • 1 篇 网络空间安全
  • 13 篇 理学
    • 4 篇 物理学
    • 3 篇 数学
    • 3 篇 地球物理学
    • 3 篇 生物学
    • 3 篇 系统科学
    • 2 篇 化学
    • 1 篇 地理学
    • 1 篇 大气科学
  • 10 篇 医学
    • 7 篇 临床医学
    • 2 篇 基础医学(可授医学...
  • 7 篇 管理学
    • 7 篇 管理科学与工程(可...
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 法学
    • 1 篇 法学

主题

  • 81 篇 convolutional au...
  • 14 篇 deep learning
  • 8 篇 convolutional ne...
  • 6 篇 fault diagnosis
  • 6 篇 feature extracti...
  • 5 篇 anomaly detectio...
  • 4 篇 image reconstruc...
  • 4 篇 convolutional ne...
  • 2 篇 reinforcement le...
  • 2 篇 invariant featur...
  • 2 篇 image retrieval
  • 2 篇 layout analysis
  • 2 篇 cnn
  • 2 篇 specific feature
  • 2 篇 machine learning
  • 2 篇 neural network
  • 2 篇 multi-source dat...
  • 2 篇 image hashing
  • 2 篇 person re-recogn...
  • 2 篇 fault detection

机构

  • 2 篇 chinese acad sci...
  • 2 篇 shanghai jiao to...
  • 2 篇 tongji univ sch ...
  • 1 篇 loughborough uni...
  • 1 篇 northwestern pol...
  • 1 篇 yuan ze univ dep...
  • 1 篇 univ abderrahman...
  • 1 篇 csir cent inst m...
  • 1 篇 shahed univ elec...
  • 1 篇 naval univ engn ...
  • 1 篇 northeast normal...
  • 1 篇 jiangnan univ sc...
  • 1 篇 univ bergamo dep...
  • 1 篇 beijing jiaotong...
  • 1 篇 beijing jiaotong...
  • 1 篇 kings coll londo...
  • 1 篇 mcmaster univ el...
  • 1 篇 kings coll londo...
  • 1 篇 southwest jiaoto...
  • 1 篇 henan univ techn...

作者

  • 3 篇 yu jianbo
  • 2 篇 seuret mathias
  • 2 篇 liu xing
  • 2 篇 ingold rolf
  • 2 篇 liu shuo
  • 2 篇 zareapoor masoum...
  • 2 篇 yang jie
  • 2 篇 liwicki marcus
  • 1 篇 liu bowen
  • 1 篇 garz angelika
  • 1 篇 yan yongjie
  • 1 篇 khyam m. o.
  • 1 篇 lin chih-min
  • 1 篇 moattar mohammad...
  • 1 篇 wang lijun
  • 1 篇 wu siyuan
  • 1 篇 alanezi mohammed...
  • 1 篇 bouchekara houss...
  • 1 篇 hamdi slim
  • 1 篇 gu de

语言

  • 78 篇 英文
  • 1 篇 法文
  • 1 篇 其他
  • 1 篇 中文
检索条件"主题词=Convolutional Auto-Encoder"
81 条 记 录,以下是21-30 订阅
排序:
Multi-Branch convolutional auto-encoder Model For Cross-Domain Person Re-Recognition  35
Multi-Branch Convolutional Auto-Encoder Model For Cross-Doma...
收藏 引用
35th Chinese Control and Decision Conference (CCDC)
作者: Luo, Tao Zhu, Songhao Nanjing Univ Posts & Telecommun Coll Automat & Artificial Intelligence Nanjing Peoples R China
Cross-domain person re-recognition is very important for the applications of intelligent video surveillance. To further reduce the cross-domain differences, a new multi-branch convolutional auto-encoder based cross-do... 详细信息
来源: 评论
Spatial Resolution Enhancement Technology of FY-3D MWRI Based on convolutional auto-encoder
Spatial Resolution Enhancement Technology of FY-3D MWRI Base...
收藏 引用
2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023
作者: Jiang, Han Hu, Weidong School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing China
During data collection, the Microwave Radiation Imager (MWRI) on the FY3D satellite is affected by various degradation factors, resulting in varying degrees of reduced spatial resolution of multi-channel data. Irrever... 详细信息
来源: 评论
A multi-scale convolutional auto-encoder and its application in fault diagnosis of rolling bearings
收藏 引用
Journal of Southeast University(English Edition) 2019年 第4期35卷 417-423页
作者: Ding Yunhao Jia Minping School of Mechanical Engineering Southeast UniversityNanjing 211189China
Aiming at the difficulty of fault identification caused by manual extraction of fault features of rotating machinery,a one-dimensional multi-scale convolutional auto-encoder fault diagnosis model is proposed,based on ... 详细信息
来源: 评论
An Unsupervised Classification Method for Flame Image of Pulverized Coal Combustion Based on convolutional auto-encoder and Hidden Markov Model
收藏 引用
ENERGIES 2019年 第13期12卷 2585-2585页
作者: Qiu, Tian Liu, Minjian Zhou, Guiping Wang, Li Gao, Kai North China Elect Power Univ Beijing Key Lab New Technol & Syst Measuring & Co Beijing 102206 Peoples R China State Grid Liaoning Elect Power Supply Co Ltd Shenyang 110004 Liaoning Peoples R China
Combustion condition monitoring is a fundamental and critical issue that needs to be addressed in the wide-load operation of coal-fired boilers. In this paper, an unsupervised classification framework based on the con... 详细信息
来源: 评论
Double JPEG compression detection and localization based on convolutional auto-encoder for image content removal
收藏 引用
DIGITAL SIGNAL PROCESSING 2022年 第0期123卷 103429-103429页
作者: Rahmati, Mohammad Razzazi, Farbod Behrad, Alireza Islamic Azad Univ Sci & Res Branch Dept Elect & Comp Engn Tehran Iran Shahed Univ Elect Engn Dept Tehran Iran
Due to the widespread prevalence of JPEG images in daily life, their authenticity has often been investigated in detecting the traces caused by double JPEG (DJPEG) compression. This paper presents a novel method of DJ... 详细信息
来源: 评论
A data-driven robotic Chinese calligraphy system using convolutional auto-encoder and differential evolution
收藏 引用
KNOWLEDGE-BASED SYSTEMS 2019年 182卷 104802-000页
作者: Gao, Xingen Zhou, Changle Chao, Fei Yang, Longzhi Lin, Chih-Min Xu, Tao Shang, Changjing Shen, Qiang Xiamen Univ Sch Informat Sci & Engn Cognit Sci Dept Xiamen Fujian Peoples R China Aberystwyth Univ Inst Math Phys & Comp Sci Aberystwyth Dyfed Wales Northumbria Univ Dept Comp & Informat Sci Newcastle Upon Tyne Tyne & Wear England Yuan Ze Univ Dept Elect Engn Taoyuan Taiwan
The Chinese stroke evaluation and generation systems required in an autonomous calligraphy robot play a crucial role in producing high-quality writing results with good diversity. These systems often suffer from ineff... 详细信息
来源: 评论
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder
收藏 引用
PATTERN RECOGNITION 2022年 123卷 108403-108403页
作者: Liu, Shuo Han, Jing Puyal, Estela Laporta Kontaxis, Spyridon Sun, Shaoxiong Locatelli, Patrick Dineley, Judith Pokorny, Florian B. Dalla Costa, Gloria Leocani, Letizia Guerrero, Ana Isabel Nos, Carlos Zabalza, Ana Sorensen, Per Soelberg Buron, Mathias Magyari, Melinda Ranjan, Yatharth Rashid, Zulqarnain Conde, Pauline Stewart, Callum Folarin, Amos A. Dobson, Richard J. B. Bailon, Raquel Vairavan, Srinivasan Cummins, Nicholas Narayan, Vaibhav A. Hotopf, Matthew Comi, Giancarlo Schuller, Bjoern Univ Augsburg EIHW Chair Embedded Intelligence Hlth Care & Well Augsburg Germany Univ Cambridge Dept Comp Sci & Technol Cambridge England Univ Zaragoza Aragon Inst Engn Res I3A IIS Aragon BSICoS Grp Zaragoza Spain Biomat & Nanomed CIBER BNN CIBER Bioengn Madrid Spain Kings Coll London Inst Psychiat Psychol & Neurosci Dept Biostat & Hlth Informat London England Univ Bergamo Dept Engn & Appl Sci Bergamo Italy Med Univ Graz Div Phoniatr Graz Austria Sci Inst Hosp San Raffaele Univ Vita Salute San Raffaele & Expt Neurophysiol Inst Expt Neurol Milan Italy Univ Autonoma Barcelona Hosp Univ Vall dHebron Multiple Sclerosis Ctr Catalonia Cemcat Dept Neurol Neuroimmunol Barcelona Spain Copenhagen Univ Hosp Rigshosp Danish Multiple Sclerosis Ctr Dept Neurol Copenhagen Denmark UCL Inst Hlth Informat London England Janssen Res & Dev LLC Titusville NJ USA Kings Coll London Inst Psychiat Psychol & Neurosci Dept Psychol Med London England South London & Maudsley Natl Hlth Serv Fdn Trust London England Univ Vita Salute San Raffaele Casa Cura Privata Policlin Milan Italy Imperial Coll London GLAM Grp Language Audio & Mus London England RADAR CNS Consortium London England
This study proposes a contrastive convolutional auto-encoder (contrastive CAE), a combined architecture of an auto-encoder and contrastive loss, to identify individuals with suspected COVID-19 infection using heart-ra... 详细信息
来源: 评论
Residual squeeze-and-excitation convolutional auto-encoder for fault detection and diagnosis in complex industrial processes
收藏 引用
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 第PartA期136卷
作者: Yu, Jianbo Li, Shijin Liu, Xing Li, Hao Ma, Mingyan Liu, Peilun You, Lichun Tongji Univ Sch Mech Engn 4800 Caoan Rd Shanghai 201804 Peoples R China COMAC Shanghai Aircraft Mfg Co Ltd Shanghai 201324 Peoples R China State Key Lab Large Elect Drive Syst & Equipment T Tianshui Gansu Peoples R China
Recently, deep learning has attracted increasing attention in process monitoring. However, it is still a big challenge to extract effective features of process data for fault detection and diagnosis (FDD) by using dee... 详细信息
来源: 评论
3D convolutional auto-encoder based multi-scale feature extraction for point cloud registration
收藏 引用
OPTICS AND LASER TECHNOLOGY 2022年 149卷 107860-107860页
作者: Ma, Hao Yin, De-Yu Liu, Jing-Bin Chen, Rui-Zhi Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China Finnish Geospatial Res Inst Dept Remote Sensing & Photogrammetry Masala 02430 Finland Finnish Geospatial Res Inst Ctr Excellence Laser Scanning Res Masala 02430 Finland
Searching corresponding features between two consecutive point cloud sequences is a key step in frame-to-frame matching. Utilizing multi-resolution strategy and voxel model which reserves the original shape of input d... 详细信息
来源: 评论
A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis
收藏 引用
MEASUREMENT 2021年 178卷 109352-109352页
作者: Qian, Quan Qin, Yi Wang, Yi Liu, Fuqiang Chongqing Univ State Key Lab Mech Transmission Chongqing 400044 Peoples R China Chongqing Univ Coll Mech & Vehicle Engn Chongqing 400044 Peoples R China
Deep learning has gained a great achievement in the intelligent fault diagnosis of rotating machineries. However, the labeled data is scarce in actual engineering and the marginal distribution of data is discrepant un... 详细信息
来源: 评论