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341-350 订阅
排序:
LATENT ENHANCING autoencoder FOR OCCLUDED IMAGE CLASSIFICATION  31
LATENT ENHANCING AUTOENCODER FOR OCCLUDED IMAGE CLASSIFICATI...
收藏 引用
2024 International Conference on Image Processing
作者: Kotwal, Ketan Deshmukh, Tanay Gopal, Preeti Idiap Res Inst Martigny Switzerland
Large occlusions result in a significant decline in image classification accuracy. During inference, diverse types of unseen occlusions introduce out-of-distribution data to the classification model, leading to accura... 详细信息
来源: 评论
Muscle Fatigue Identification Using a Time Frequency Deep autoencoder  11th
Muscle Fatigue Identification Using a Time Frequency Deep Au...
收藏 引用
11th International Conference on E-Health and Bioengineering (EHB)
作者: Leung, Eunice Johns Hopkins Univ Calgary AB Canada
This paper proposes a novel unsupervised method for muscle fatigue recognition. It uses a convolutional autoencoder to extract time-frequency EMG features and clusters the features into fatigue and non-fatigue groups.... 详细信息
来源: 评论
Channel Reciprocity Based Attack Detection for Securing UWB Ranging by autoencoder
Channel Reciprocity Based Attack Detection for Securing UWB ...
收藏 引用
IEEE/CIC International Conference on Communications in China (ICCC)
作者: Gou, Wenlong Yu, Chuanhang Ma, Juntao Wu, Gang Mordachev, Vladimir Univ Elect Sci & Technol China Natl Key Lab Wireless Commun Chengdu Peoples R China Belarusian State Univ Informat & Radioelect Minsk BELARUS
A variety of ranging threats represented by Ghost Peak attack have raised concerns regarding the security performance of Ultra-Wide Band (UWB) systems with the finalization of the IEEE 802.15.4z standard. Based on cha... 详细信息
来源: 评论
Health Prediction Method for Photovoltaic Inverters Based on autoencoder and Fusion of Multiple Operating Conditions  24
Health Prediction Method for Photovoltaic Inverters Based on...
收藏 引用
International Conference on Power Electronics and Artificial Intelligence (PEAI)
作者: Wang, Can Yuan, Wei Shen, Xiaokun Xu, Yue Gu, Yue Longyuan Beijing Wind Power Engn Technol Co Ltd Beijing 100034 Peoples R China Xidian Univ Sch Comp Sci & Technol Xian Shaanxi 710126 Peoples R China
Photovoltaic inverter health prediction is a crucial aspect of the reliability and performance maintenance of photovoltaic power generation systems. With the rapid development of solar energy, the inverter, as one of ... 详细信息
来源: 评论
Assessment of abdominal rehabilitation for diastasis recti abdominis using ensemble autoencoder
收藏 引用
PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY 2023年 第4期89卷 891-901页
作者: Radhakrishnan, Menaka Premkumar, Vinitha Joshy Guddimettla, Mohan Teja Choudhury, Sanjucta Basu, Siddharth Gupta, Satvik Vellore Inst Technol Ctr Cyber Phys Syst CCPS Sch Elect Engn Chennai 600127 India Vellore Inst Technol Sch Elect Engn Chennai 600127 India
Women experience major bodily changes both during pregnancy and post-pregnancy. Diastasis Recti Abdominis (DRA) is a noticeable issue in the postpartum period among the female population in the world. Though postnatal... 详细信息
来源: 评论
Linear local tangent space alignment with autoencoder
收藏 引用
COMPLEX & INTELLIGENT SYSTEMS 2023年 第6期9卷 6255-6268页
作者: Ran, Ruisheng Wang, Jinping Fang, Bin Chongqing Normal Univ Coll Comp & Informat Sci Coll Intelligent Sci Chongqing 401331 Peoples R China Chongqing Univ Coll Comp Sci Chongqing 400044 Peoples R China
Linear local tangent space alignment (LLTSA) is a classical dimensionality reduction method based on manifold. However, LLTSA and all its variants only consider the one-way mapping from high-dimensional space to low-d... 详细信息
来源: 评论
A Bi-population Cooperative Optimization Algorithm Assisted by an autoencoder for Medium-scale Expensive Problems
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2022年 第11期9卷 1952-1966页
作者: Meiji Cui Li Li MengChu Zhou Jiankai Li Abdullah Abusorrah Khaled Sedraoui IEEE the School of Intelligent Manufacturing Nanjing University of Science and TechnologyNanjing 210094China the Department of Electronics and Information Engineering Tongji UniversityShanghai 201804China the Helen and John C.Hartmann Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of Engineeringand K.A.CARE Energy Research and Innovation CenterKing Abdulaziz UniversityJeddah 21589Saudi Arabia
This study presents an autoencoder-embedded optimization(AEO)algorithm which involves a bi-population cooperative strategy for medium-scale expensive problems(MEPs).A huge search space can be compressed to an informat... 详细信息
来源: 评论
Modeling Learner Memory Based on LSTM autoencoder and Collaborative Filtering  25th
Modeling Learner Memory Based on LSTM Autoencoder and Collab...
收藏 引用
25th International Conference on Artificial Intelligence in Education (AIED)
作者: Li, Tengju Bian, Cunling Wang, Ning Xie, Yangbin Chen, Kaiquan Lu, Weigang Ocean Univ China Dept Educ Technol Qingdao 266100 Peoples R China Ocean Univ China Coll Comp Sci & Technol Qingdao 266100 Peoples R China Zhejiang Lab Res Ctr Data Hub & Secur Hangzhou 311100 Peoples R China
Memory modeling, aimed at predicting the memory states of learners throughout their learning process, has become an integral component in online learning systems. This is particularly crucial for applications such as ... 详细信息
来源: 评论
Lossless DNA Sequence Compression: Exploring Spatial and Sequential Redundancies of DNA Sequence with 2-D CNN autoencoder  10
Lossless DNA Sequence Compression: Exploring Spatial and Seq...
收藏 引用
10th IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT)
作者: Sheena, K. S. Nair, Madhu S. Cochin Univ Sci & Technol Dept Comp Sci Artificial Intelligence & Comp Vis Lab Kochi 682022 Kerala India
The volume of genomic data being generated is growing due to the technological breakthroughs in genome sequencing and the economic affordability of sequencing. Consequently, the need for compression techniques that ar... 详细信息
来源: 评论
MULTI-MODAL INTERMEDIATE FEATURE INTERACTION autoencoder FOR OVERALL SURVIVAL PREDICTION OF ESOPHAGEAL SQUAMOUS CELL CANCER  21
MULTI-MODAL INTERMEDIATE FEATURE INTERACTION AUTOENCODER FOR...
收藏 引用
21st IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Wu, Chengyu Zhang, Yatao Wang, Yaqi Wang, Qifeng Wang, Shuai Shandong Univ Dept Mech Elect & Informat Engn Shandong Peoples R China Commun Univ Zhejiang Coll Media Engn Hangzhou Peoples R China Univ Elect Sci & Technol China Sch Med Sichuan Canc Hosp & InstDept Radiat Oncol Radiat Oncol Key Lab Sichuan ProvSichuan Canc Ct Chengdu Peoples R China Hangzhou Dianzi Univ Sch Cyberspace Hangzhou Peoples R China Shandong Univ Suzhou Res Inst Suzhou Peoples R China
Survival prediction for esophageal squamous cell cancer (ESCC) is crucial for doctors to assess a patient's condition and tailor treatment plans. The application and development of multi-modal deep learning in thi... 详细信息
来源: 评论