咨询与建议

限定检索结果

文献类型

  • 473 篇 期刊文献
  • 310 篇 会议
  • 4 篇 学位论文

馆藏范围

  • 787 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 733 篇 工学
    • 489 篇 计算机科学与技术...
    • 301 篇 电气工程
    • 129 篇 信息与通信工程
    • 97 篇 软件工程
    • 64 篇 控制科学与工程
    • 48 篇 仪器科学与技术
    • 31 篇 电子科学与技术(可...
    • 26 篇 机械工程
    • 26 篇 石油与天然气工程
    • 22 篇 生物医学工程(可授...
    • 14 篇 测绘科学与技术
    • 12 篇 动力工程及工程热...
    • 10 篇 交通运输工程
    • 9 篇 材料科学与工程(可...
    • 9 篇 环境科学与工程(可...
    • 9 篇 网络空间安全
    • 7 篇 光学工程
    • 6 篇 化学工程与技术
    • 5 篇 土木工程
  • 129 篇 理学
    • 51 篇 物理学
    • 38 篇 生物学
    • 29 篇 化学
    • 23 篇 数学
    • 10 篇 地球物理学
    • 5 篇 系统科学
  • 90 篇 医学
    • 63 篇 临床医学
    • 24 篇 基础医学(可授医学...
    • 14 篇 特种医学
  • 59 篇 管理学
    • 51 篇 管理科学与工程(可...
    • 8 篇 图书情报与档案管...
  • 6 篇 农学
  • 3 篇 法学
  • 2 篇 经济学
  • 2 篇 教育学
  • 1 篇 文学
  • 1 篇 艺术学

主题

  • 787 篇 auto-encoder
  • 192 篇 deep learning
  • 50 篇 feature extracti...
  • 47 篇 anomaly detectio...
  • 43 篇 machine learning
  • 37 篇 unsupervised lea...
  • 26 篇 convolutional ne...
  • 25 篇 lstm
  • 21 篇 neural networks
  • 21 篇 classification
  • 19 篇 task analysis
  • 19 篇 deep neural netw...
  • 19 篇 convolutional ne...
  • 18 篇 neural network
  • 16 篇 cnn
  • 16 篇 training
  • 15 篇 fault diagnosis
  • 15 篇 extreme learning...
  • 14 篇 clustering
  • 14 篇 generative adver...

机构

  • 6 篇 fuzhou univ coll...
  • 5 篇 northeastern uni...
  • 5 篇 univ elect sci &...
  • 4 篇 jiangnan univ sc...
  • 4 篇 sichuan univ col...
  • 4 篇 yunnan univ sch ...
  • 4 篇 air force engn u...
  • 4 篇 northeastern uni...
  • 4 篇 southeast univ s...
  • 3 篇 china univ min &...
  • 3 篇 nanjing univ sta...
  • 3 篇 xidian univ sch ...
  • 3 篇 tianjin univ col...
  • 3 篇 jiangnan univ sc...
  • 3 篇 fudan univ acad ...
  • 3 篇 univ elect sci &...
  • 3 篇 north china elec...
  • 3 篇 univ sci & techn...
  • 3 篇 shanghai jiao to...
  • 3 篇 huazhong univ sc...

作者

  • 6 篇 wang shiping
  • 5 篇 liu yang
  • 5 篇 fu yun
  • 5 篇 zhou lihua
  • 4 篇 cai jinyu
  • 4 篇 li rui
  • 4 篇 zhang wanqing
  • 4 篇 wang xiaodan
  • 4 篇 li shuaichao
  • 4 篇 lei lei
  • 4 篇 guo wenzhong
  • 4 篇 cui ying
  • 3 篇 xie xijiong
  • 3 篇 fu r.
  • 3 篇 fayyazi hossein
  • 3 篇 zuo wenbo
  • 3 篇 li yanfeng
  • 3 篇 liu zhen
  • 3 篇 wang li
  • 3 篇 liu jing

语言

  • 760 篇 英文
  • 18 篇 其他
  • 4 篇 中文
  • 1 篇 德文
  • 1 篇 朝鲜文
检索条件"主题词=Auto-encoder"
787 条 记 录,以下是1-10 订阅
排序:
auto-encoder-based inverse characterization of Transport properties of acoustic foams
收藏 引用
APPLIED ACOUSTICS 2025年 228卷
作者: Chen, Jianglong Xu, Yiqin Zhao, Xiaoliang Miao, Menghe Meng, Jiaguang Yu, Lingjie Zhi, Chao Xian Polytech Univ Sch Text Sci & Engn Xian 710048 Shaanxi Peoples R China Xian Polytech Univ State Key Lab Intelligent Text Mat & Prod Xian 710048 Shaanxi Peoples R China Univ Melbourne Dept Mech Engn Grattan St Parkville Vic 3010 Australia
The characterization of non-acoustic parameters is critically important for understanding the acoustic property and structural design of polyurethane (PU) foams. However, inverse characterization of acoustic PU foams ... 详细信息
来源: 评论
Efficient and robust de-speckling filter for ultrasound images based on an attentional auto-encoder
收藏 引用
SIGNAL IMAGE AND VIDEO PROCESSING 2025年 第1期19卷 1-13页
作者: Ahmed, Anas Fouad Al Iraqia Univ Coll Engn Dept Elect Engn Baghdad 6029 Iraq
The existence of speckle noise in medical ultrasound (US) images greatly diminishes image quality and decreases diagnostic accuracy. The recent models for de-noising US images suffer from poor generalizability, a loss... 详细信息
来源: 评论
Gearbox fault identification using auto-encoder without training data from the damaged machine
收藏 引用
MEASUREMENT 2025年 第PartA期242卷
作者: Pawlik, Pawel Kania, Konrad Przysucha, Bartosz AGH Univ Krakow Fac Mech Engn & Robot Dept Mech & Vibroacoust al A Mickiewicza 30 PL-30059 Krakow Poland Lublin Univ Technol Fac Management Dept Quantitat Methods Management ul Nadbystrzycka 38 PL-20618 Lublin Poland
Deep learning methods work well in machine diagnostics where operating conditions affect diagnostic signals. Classifiers are often used for fault identification, but these methods require training data sets measured f... 详细信息
来源: 评论
Markov transition fields and auto-encoder-based preprocessing for event recognition of Φ-OTDR
收藏 引用
OPTICA APPLICATA 2024年 第2期54卷 217-229页
作者: Hu, Xin Dai, Jingyi Wei, Ziyi Shen, Wei Yu, Hao Wu, Haiyang Xu, Yingwen Hu, Chengyon Deng, Chuanlu Huang, Yi China State Grid Taizhou Power Supply Co Taizhou 225300 Peoples R China Shanghai Univ Key Lab Specialty Fiber Opt & Opt Access Networks Shanghai 200444 Peoples R China
To improve the model training efficiency and the classification performance of the phase-sensitive optical time-domain reflectometer (Phi-OTDR) in disturbance events recognition, a preprocessing method based on Markov... 详细信息
来源: 评论
Hybrid model of convolutional auto-encoder and ellipse characteristic for unsupervised high impedance fault detection
收藏 引用
ELECTRIC POWER SYSTEMS RESEARCH 2025年 238卷
作者: Yang, Junjie Delinchant, Benoit Niyato, Dusit Hadjsaid, Nouredine CNRSCREATE LTD Singapore 138602 Singapore Univ Grenoble Alpes CNRS Grenoble INP G2Elab F-38031 Grenoble France Nanyang Technol Univ Coll Comp & Data Sci CCDS Singapore 639798 Singapore
High impedance faults (HIFs) present significant safety hazards such as fires and electric shock accidents, urging the development of reliable HIF detection approaches. Unfortunately, conventional protection relays of... 详细信息
来源: 评论
Unsupervised feature learning using locality-preserved auto-encoder with complexity-invariant distance for intelligent fault diagnosis of machinery
收藏 引用
APPLIED INTELLIGENCE 2025年 第6期55卷 1-14页
作者: Lu, Zhenghua Chu, Zhaobi Zhu, Min Dong, Xueping Hefei Univ Technol Sch Elect Engn & Automat Hefei 230009 Peoples R China
Unsupervised feature learning (UFL) has been recognized as a promising feature extractor in machinery fault diagnosis, where the auto-encoder is a very popular UFL framework. For the auto-encoder methods, however, it ... 详细信息
来源: 评论
Self-Attention Enhanced auto-encoder for Link Weight Prediction With Graph Compression
收藏 引用
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2024年 第1期11卷 89-99页
作者: Liu, Zhen Zuo, Wenbo Zhang, Dongning Zhou, Chuan Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 611731 Peoples R China 54th Res Inst CETC Shijiazhuang 050081 Peoples R China Chinese Acad Sci Acad Math & Syst Sci Beijing 100045 Peoples R China
Predicting unobservable or missing weights over links on various real-world networks is of fundamental scientific significance in disparate disciplines like sociology, biology, and physics, as it has been revealed by ... 详细信息
来源: 评论
KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep auto-encoder
收藏 引用
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2024年 第5期28卷 3178-3185页
作者: Kang, Wen-Yue Gao, Ying-Lian Wang, Ying Li, Feng Liu, Jin-Xing Qufu Normal Univ Sch Comp Sci Rizhao 276826 Peoples R China Qufu Normal Univ Qufu Normal Univ Lib Rizhao 276826 Peoples R China Univ Hlth & Rehabil Sci Sch Hlth & Life Sci Qingdao 266113 Peoples R China
CircRNA has been proved to play an important role in the diseases diagnosis and treatment. Considering that the wet-lab is time-consuming and expensive, computational methods are viable alternative in these years. How... 详细信息
来源: 评论
Anomaly Detection for Medical Images Using Heterogeneous auto-encoder
收藏 引用
IEEE TRANSACTIONS ON IMAGE PROCESSING 2024年 33卷 2770-2782页
作者: Lu, Shuai Zhang, Weihang Zhao, He Liu, Hanruo Wang, Ningli Li, Huiqi Beijing Inst Technol Beijing 100081 Peoples R China Univ Liverpool Dept Eye & Vis Sci Liverpool L7 8TX England Capital Med Univ Beijing Tongren Hosp Beijing Inst Ophthalmol Beijing 100054 Peoples R China Henan Prov Acad Med Sci Zhengzhou 450046 Peoples R China
Anomaly detection is an important task for medical image analysis, which can alleviate the reliance of supervised methods on large labelled datasets. Most existing methods use a pixel-wise self-reconstruction framewor... 详细信息
来源: 评论
Generalization error guaranteed auto-encoder-based nonlinear model reduction for operator learning
收藏 引用
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS 2025年 74卷
作者: Liu, Hao Dahal, Biraj Lai, Rongjie Liao, Wenjing Hong Kong Baptist Univ Dept Math Hong Kong Peoples R China Georgia Inst Technol Sch Math Atlanta GA 30332 USA Purdue Univ Dept Math W Lafayette IN USA
Many physical processes in science and engineering are naturally represented by operators between infinite-dimensional function spaces. The problem of operator learning, in this context, seeks to extract these physica... 详细信息
来源: 评论