DENOISING

作品数:306被引量:704H指数:12
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相关领域:自动化与计算机技术更多>>
相关作者:陈香朋曹思远唐刚马坚伟贺振华更多>>
相关机构:中国石油大学(北京)中国石油天然气集团公司哈尔滨工业大学成都理工大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划国家教育部博士点基金中国博士后科学基金更多>>
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Deep Time-Frequency Denoising Transform Defense for Spectrum Monitoring in Integrated Networks
《Tsinghua Science and Technology》2025年第2期851-863,共13页Sicheng Zhang Yandie Yang Songlin Yang Juzhen Wang Yun Lin 
The Space-Air-Ground-Sea Integrated Networks(SAGSIN)significantly enhance global communication by merging satellite,aviation,terrestrial,and marine networks.Crucial to SAGSIN’s functionality and security is spectrum ...
关键词:Space-Air-Ground-Sea Integrated Networks(SAGSIN) spectrum monitoring adversarial defense Deep Time-Frequency Denoising Transformation(DTFDT) transformation module 
Denoising graph neural network based on zero-shot learning for Gibbs phenomenon in high-order DG applications
《Chinese Journal of Aeronautics》2025年第3期234-248,共15页Wei AN Jiawen LIU Wenxuan OUYANG Haoyu RU Xuejun LIU Hongqiang LYU 
co-supported by the Aeronautical Science Foundation of China(Nos.2018ZA52002,2019ZA052011).
With the availability of high-performance computing technology and the development of advanced numerical simulation methods, Computational Fluid Dynamics (CFD) is becoming more and more practical and efficient in engi...
关键词:Computational fluid dynamics High-order discon tinuous Galerkin method Gibbs phenomenon Graph neural networks Zero-shot learning 
Enhancing Malware Detection Resilience:A U-Net GAN Denoising Framework for Image-Based Classification
《Computers, Materials & Continua》2025年第3期4263-4285,共23页Huiyao Dong Igor Kotenko 
funded by the budget project FFZF-2022-0007.
The growing complexity of cyber threats requires innovative machine learning techniques,and image-based malware classification opens up new possibilities.Meanwhile,existing research has largely overlooked the impact o...
关键词:MALWARE CYBERSECURITY deep learning DENOISING 
Unsupervised Low-Light Image Enhancement Based on Explicit Denoising and Knowledge Distillation
《Computers, Materials & Continua》2025年第2期2537-2554,共18页Wenkai Zhang Hao Zhang Xianming Liu Xiaoyu Guo Xinzhe Wang Shuiwang Li 
support by the Guangxi Natural Science Foundation(Grant No.2024GXNSFAA010484);the NationalNatural Science Foundation of China(No.62466013),this work has been made possible.
Under low-illumination conditions, the quality of image signals deteriorates significantly, typically characterized by a peak signal-to-noise ratio (PSNR) below 10 dB, which severely limits the usability of the images...
关键词:Deep learning low-light image enhancement real-time processing knowledge distillation 
Markov Chain Monte Carlo-Based L1/L2 Regularization and Its Applications in Low-Dose CT Denoising
《Journal of Applied Mathematics and Physics》2025年第2期419-428,共10页Shuoqi Yu 
In this paper, a low-dose CT denoising method based on L1/L2regularization method of Markov chain Monte Carlo is studied. Firstly, the mathematical model and regularization method of low-dose CT denoising are summariz...
关键词:Low-Dose CT Denoising REGULARIZATION Statistical Inverse Problem MCMC Sampling 
Air target intent recognition method combining graphing time series and diffusion models
《Chinese Journal of Aeronautics》2025年第1期507-519,共13页Chenghai LI Ke WANG Yafei SONG Peng WANG Lemin LI 
co-supported by the National Natural Science Foundation of China(Nos.61806219,61876189 and 61703426);the Young Talent Fund of University Association for Science and Technology in Shaanxi,China(Nos.20190108 and 20220106);the Innvation Talent Supporting Project of Shaanxi,China(No.2020KJXX-065)。
Air target intent recognition holds significant importance in aiding commanders to assess battlefield situations and secure a competitive edge in decision-making.Progress in this domain has been hindered by challenges...
关键词:Intent Recognition Markov Transfer Field Denoising Diffusion Probability Model Transformer Neural Network 
Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising and Attenuation Correction
《Computer Modeling in Engineering & Sciences》2025年第1期299-327,共29页A.Robert Singh Suganya Athisayamani Gyanendra Prasad Joshi Bhanu Shrestha 
the Research Grant of Kwangwoon University in 2024.
Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronar...
关键词:SPECT-MPI CAD MSDC DENOISING attenuation correction classification 
Wind Turbine Gearbox Fault Diagnosis Based on Multi-sensor Signals Fusion
《Protection and Control of Modern Power Systems》2024年第4期96-109,共14页Yao Zhao Ziyu Song Dongdong Li Rongrong Qian Shunfu Lin 
supported by the Shanghai Rising-Star Program(No.21QC1400200);the Natural Science Foundation of Shanghai(No.21ZR1425400);the National Natural Science Foundation of China(No.52377111).
This paper proposes a novel fault diagnosis method by fusing the information from multi-sensor signals to improve the reliability of the conventional vibration-based wind turbine drivetrain gearbox fault diagnosis met...
关键词:Wind turbine gearbox fault diagnosis multiple scenarios deep learning stacked denoising au-to-encoder cycle reservoir with regular jumps feature fusion network 
Self-supervised denoising for multimodal structured illumination microscopy enables long-term super-resolution live-cell imaging
《PhotoniX》2024年第1期654-675,共22页Xingye Chen Chang Qiao Tao Jiang Jiahao Liu Quan Meng Yunmin Zeng Haoyu Chen Hui Qiao Dong Li Jiamin Wu 
supported by the National Natural Science Foundation of China(31827802,32125024,62071271,62088102,and 62222508);Shuimu Tsinghua Scholar Program(2021SM039,2022SM035);China Postdoctoral Science Foundation(BX2021159,2022M721842);Beijing Natural Science Foundation(JQ21012);the Tencent Foundation through the XPLORER PRIZE;the Youth Innovation Promotion Association of the Chinese Academy of Sciences(2020094);the New Cornerstone Science Foundation.
Detection noise significantly degrades the quality of structured illumination microscopy(SIM)images,especially under low-light conditions.Although supervised learning based denoising methods have shown prominent advan...
关键词:Super-resolution microscopy Structured illumination microscopy Deep learning Self-supervised learning Live-cell imaging 
Wavelet‑based vibration denoising for structural health monitoring
《Urban Lifeline》2024年第1期193-206,共14页Ahmed Silik Mohammad Noori Zhishen Wu Wael A.Altabey Ji Dang Nabeel S.D.Farhan 
support from National Natural Science Foundation of China(Grant No.52178115);the support provided by the International Institeu for Urban Systems Engineering at Southeast University.
In the context of civil engineering applications,vibration responses are complex,exhibiting variations in time and space and often containing nonlinearity and uncertainties not considered during data collection.These ...
关键词:Discrete wavelet transform DENOISING THRESHOLDING Structural responses 
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