咨询与建议

限定检索结果

文献类型

  • 207 篇 期刊文献
  • 131 篇 会议
  • 2 篇 学位论文

馆藏范围

  • 340 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 315 篇 工学
    • 176 篇 计算机科学与技术...
    • 123 篇 电气工程
    • 50 篇 信息与通信工程
    • 43 篇 控制科学与工程
    • 28 篇 软件工程
    • 25 篇 仪器科学与技术
    • 21 篇 电子科学与技术(可...
    • 18 篇 石油与天然气工程
    • 11 篇 动力工程及工程热...
    • 10 篇 机械工程
    • 8 篇 材料科学与工程(可...
    • 8 篇 生物医学工程(可授...
    • 6 篇 测绘科学与技术
    • 5 篇 土木工程
    • 4 篇 建筑学
    • 4 篇 化学工程与技术
    • 4 篇 生物工程
    • 3 篇 力学(可授工学、理...
    • 3 篇 船舶与海洋工程
    • 3 篇 环境科学与工程(可...
  • 69 篇 理学
    • 32 篇 物理学
    • 25 篇 生物学
    • 9 篇 化学
    • 6 篇 数学
    • 6 篇 地球物理学
  • 44 篇 医学
    • 25 篇 临床医学
    • 15 篇 基础医学(可授医学...
    • 6 篇 特种医学
  • 23 篇 管理学
    • 19 篇 管理科学与工程(可...
  • 5 篇 农学
  • 1 篇 教育学
  • 1 篇 文学
  • 1 篇 艺术学

主题

  • 340 篇 denoising autoen...
  • 64 篇 deep learning
  • 21 篇 convolutional ne...
  • 16 篇 noise reduction
  • 13 篇 neural network
  • 12 篇 machine learning
  • 11 篇 speech recogniti...
  • 10 篇 autoencoder
  • 8 篇 deep neural netw...
  • 8 篇 robust speech re...
  • 7 篇 feature enhancem...
  • 7 篇 transfer learnin...
  • 7 篇 anomaly detectio...
  • 7 篇 missing data
  • 7 篇 neural networks
  • 7 篇 classification
  • 7 篇 unsupervised lea...
  • 6 篇 collaborative fi...
  • 6 篇 fault diagnosis
  • 6 篇 remaining useful...

机构

  • 3 篇 nagaoka univ tec...
  • 3 篇 wuhan univ sch c...
  • 3 篇 acad sinica res ...
  • 2 篇 tsinghua univ de...
  • 2 篇 nanyang technol ...
  • 2 篇 natl taiwan univ...
  • 2 篇 univ calif irvin...
  • 2 篇 univ chinese aca...
  • 2 篇 donald bren scho...
  • 2 篇 nanyang technol ...
  • 2 篇 taiyuan univ tec...
  • 2 篇 harbin inst tech...
  • 2 篇 beijing univ pos...
  • 2 篇 univ sains malay...
  • 2 篇 nanjing univ sci...
  • 2 篇 tsinghua univ de...
  • 2 篇 tech univ libere...
  • 2 篇 natl inst techno...
  • 2 篇 univ calif irvin...
  • 2 篇 city univ hong k...

作者

  • 5 篇 wang longbiao
  • 5 篇 kai atsuhiko
  • 4 篇 tsao yu
  • 4 篇 ueda yuma
  • 3 篇 he fazhi
  • 3 篇 pan yiteng
  • 3 篇 schanze thomas
  • 3 篇 malek jiri
  • 3 篇 li jian
  • 3 篇 samann fars
  • 3 篇 liu bin
  • 2 篇 zhang tao
  • 2 篇 petr cerva
  • 2 篇 kang moses
  • 2 篇 baek jongbok
  • 2 篇 wang huawei
  • 2 篇 wang yuhao
  • 2 篇 padil khairul ha...
  • 2 篇 liu yang
  • 2 篇 teeparthi kiran

语言

  • 328 篇 英文
  • 11 篇 其他
  • 1 篇 中文
检索条件"主题词=Denoising autoencoder"
340 条 记 录,以下是131-140 订阅
排序:
Wireless recording and autoencoder denoising of intestinal activity in freely moving rats
收藏 引用
JOURNAL OF PHARMACOLOGICAL SCIENCES 2025年 第1期158卷 54-58页
作者: Ishii, Yamato Matsumoto, Nobuyoshi Ikegaya, Yuji Kashima, Tetsuhiko Univ Tokyo Grad Sch Pharmaceut Sci Tokyo 1130033 Japan Univ Tokyo Inst AI & Beyond Tokyo 1130033 Japan Natl Inst Informat & Commun Technol Ctr Informat & Neural Networks Suita Osaka 5650871 Japan
Conventional wired systems for recording intestinal motility using strain-gauge transducers physically limit animal movement and are not ideal for long-term studies. Here, we developed a wireless recording system that... 详细信息
来源: 评论
Open-Set Specific Emitter Identification Leveraging Enhanced Metric denoising autoencoders
收藏 引用
IEEE INTERNET OF THINGS JOURNAL 2025年 第4期12卷 3453-3462页
作者: Huang, Shennan Guo, Lantu Fu, Xue Peng, Yang Guo, Yongan Wang, Yu Zhang, Qianyun Gui, Guan Sari, Hikmet Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Peoples R China China Res Inst Radiowave Propagat Res Dept 5 Qingdao 266107 Peoples R China Nanjing Univ Posts & Telecommun Jiangsu Key Lab Intelligent Informat Proc & Commun Nanjing 210003 Peoples R China Beihang Univ Sch Cyber Sci & Technol Beijing 100191 Peoples R China
Specific emitter identification (SEI) is pivotal for ensuring the security of the Internet of Things (IoT). Traditional deep learning-based SEI techniques often falter in real-world applications, particularly when dis... 详细信息
来源: 评论
TrustEMG-Net: Using Representation-Masking Transformer With U-Net for Surface Electromyography Enhancement
收藏 引用
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2025年 第4期29卷 2506-2520页
作者: Wang, Kuan-Chen Liu, Kai-Chun Yeh, Ping-Cheng Peng, Sheng-Yu Tsao, Yu Natl Taiwan Univ Grad Inst Commun Engn Taipei 10617 Taiwan Univ Massachusetts Amherst Coll Informat & Comp Sci Amherst MA 01003 USA Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei 106 Taiwan Acad Sinica Res Ctr Informat Technol Innovat Taipei 115 Taiwan Chung Yuan Christian Univ Dept Elect Engn Taoyuan 320 Taiwan
Surface electromyography (sEMG) is a widely employed bio-signal that captures human muscle activity via electrodes placed on the skin. Several studies have proposed methods to remove sEMG contaminants, as non-invasive... 详细信息
来源: 评论
Intelligent cognitive internet of things-based spectrum sensing algorithm for future communication
收藏 引用
INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES 2025年 第1期21卷 18-41页
作者: Byeon, Haewon Alsaadi, Mahmood Quraishi, Aadam Keshta, Ismail Soni, Mukesh Kumar, Pankaj Bhadla, Mohit Khan, Muhammad Attique Damasevicius, Robertas Inje Univ Dept Digital Antiaging Healthcare Gimhae 50834 South Korea Al Maarif Univ Coll Dept Comp Sci Al Anbar 31001 Iraq Intervent Treatment Inst Houston TX USA AlMaarefa Univ Coll Appl Sci Comp Sci & Informat Syst Dept Riyadh Saudi Arabia Lovely Profess Univ Div Res & Dev Phagwara India Dr DY Patil Vidyapeeth Dr DY Patil Sch Sci & Technol Pune India GL Bajaj Inst Technol & Management Dept Comp Sci & Engn Greater Noida 201306 Uttar Pradesh India Swarnim Startup & Innovat Univ Gandhinagar India Prince Mohammad Bin Fahd Univ Dept AI Dhahran Saudi Arabia Kaunas Univ Technol Kaunas Lithuania
The emergence of fifth-generation (5G) mobile communication technologies has propelled the advancement of the internet of things (IoT). Nevertheless, the intricate nature of the IoT mobile communication environment an... 详细信息
来源: 评论
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults
收藏 引用
JOURNAL OF INTELLIGENT MANUFACTURING 2025年 第4期36卷 2493-2507页
作者: Li, Chuan Wu, Yifan Xiong, Manjun Yang, Shuai Bai, Yun Chongqing Technol & Business Univ Sch Management Sci & Engn Chongqing 400067 Peoples R China Chongqing Technol & Business Univ Res Ctr Syst Hlth Maintenance Chongqing 400067 Peoples R China
Fault patterns are often unavailable for machine fault diagnosis without prior knowledge. This makes it challenging to diagnose the existence of machine faults and their types. To address this issue, a novel scheme of... 详细信息
来源: 评论
Wavelet Integrated Convolutional Neural Network for ECG Signal denoising  31st
Wavelet Integrated Convolutional Neural Network for ECG Sign...
收藏 引用
31st International Conference on Multimedia Modeling
作者: Terada, Takamasa Toyoura, Masahiro Univ Yamanashi 4-3-11 Takeda Kofu Yamanashi 4008511 Japan
Wearable electrocardiogram (ECG) measurement using dry electrodes has a problem with high-intensity noise distortion. Hence, a robust noise reduction method is required. However, overlapping frequency bands of ECG and... 详细信息
来源: 评论
denoising autoencoders for Non-Intrusive Load Monitoring: Improvements and comparative evaluation
收藏 引用
ENERGY AND BUILDINGS 2018年 158卷 1461-1474页
作者: Bonfigli, Roberto Felicetti, Andrea Principi, Emanuele Fagiani, Marco Squartini, Stefano Piazza, Francesco Univ Politecn Marche Dept Informat Engn Via Brecce Bianche I-60131 Ancona Italy
Non-Intrusive Load Monitoring (NILM) is the task of determining the appliances individual contributions to the aggregate power consumption by using a set of electrical parameters measured at a single metering point. N... 详细信息
来源: 评论
denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder
收藏 引用
MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2023年 第3期4卷 035024页
作者: Bacon, Philippe Trovato, Agata Bejger, Michal Univ Paris cite CNRS Astroparticule & Cosmol F-75013 Paris France Univ Trieste Dipartimento Fis I-34127 Trieste Italy Sez Trieste INFN I-34127 Trieste Italy INFN Sez Ferrara Via Saragat 1 I-44122 Ferrara Italy Polish Acad Sci Nicolaus Copernicus Astron Ctr Bartycka 18 PL-00716 Warsaw Poland
The broadband frequency output of gravitational-wave (GW) detectors is a non-stationary and non-Gaussian time series data stream dominated by noise populated by local disturbances and transient artifacts, which evolve... 详细信息
来源: 评论
Medical image denoising system based on stacked convolutional autoencoder for enhancing 2-dimensional gel electrophoresis noise reduction
收藏 引用
BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2021年 第0期69卷 102842-102842页
作者: Ahmed, Aya Saleh El-Behaidy, Wessam H. Youssif, Aliaa A. A. Helwan Univ Fac Comp & Artificial Intelligence Cairo Egypt Arab Acad Sci Technol & Maritime Transport AASTMT Al Giza Desert Giza Governorat Egypt
Image denoising is the technique of removing noise or distortions from an image. During medical image acquisition, random noise is added, which results in a lower contrast in those images. For that, image denoising is... 详细信息
来源: 评论
Near-surface defect detection in ultrasonic testing using domain-knowledge-informed self-supervised learning
收藏 引用
ULTRASONICS 2025年 147卷 107528页
作者: Jeon, Minsu Choi, Minseok Choi, Wonjae Ha, Jong Moon Oh, Hyunseok Gwangju Inst Sci & Technol GIST Sch Mech Engn Gwangju 61005 South Korea Ajou Univ Dept Mech Engn Suwon 16499 South Korea Korea Res Inst Stand & Sci KRISS Nondestruct Metrol Grp Daejeon 34113 South Korea
Recently, significant research efforts have been made to enhance ultrasonic testing (UT) by employing artificial intelligence (AI). However, collecting an extensive amount of labeled data across various testing enviro... 详细信息
来源: 评论