ANTI-NOISE

作品数：23被引量：40H指数：3
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相关领域：自动化与计算机技术更多>>
相关机构：清华大学更多>>
相关期刊：《International Journal of Technology Management》《Chinese Journal of Acoustics》《Energy Engineering》《Chinese Journal of Electronics》更多>>
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Multimodal Neural Machine Translation Based on Knowledge Distillation and Anti-Noise Interaction
《Computers, Materials & Continua》2025年第5期2305-2322,共18页Erlin Tian Zengchao Zhu Fangmei Liu Zuhe Li 
supported by the Henan Provincial Science and Technology Research Project:232102211017,232102211006,232102210044,242102211020 and 242102211007;the ZhengzhouUniversity of Light Industry Science and Technology Innovation Team Program Project:23XNKJTD0205.
Within the realm of multimodal neural machine translation(MNMT),addressing the challenge of seamlessly integrating textual data with corresponding image data to enhance translation accuracy has become a pressing issue...
关键词：Knowledge distillation anti-noise interaction mask occlusion door control fusion 
A Partial Differential ANRDPM Image Denoising Model Based on A New Anti-Noise Coefficient and Reverse Diffusion Idea
《Instrumentation》2024年第4期21-34,共14页Yuze Chen Xianchun Zhou Siqi Lu Binxin Tang Mengnan Lv Zhiting Du 
funded by National Nature Science Foundation of China,grant number 61302188.
To overcome the problem of insufficient expression of fine texture when gradient mode is used as an image feature extraction operator in traditional PM model,which leads to excessive diffusion in these fine texture re...
关键词：image noise reduction partial differential equation new anti-noise coefficient anisotropy total variation 
BACNN: Multi-scale feature fusion-based bilinear attention convolutional neural network for wood NIR classification被引量：1
《Journal of Forestry Research》2024年第4期202-214,共13页Zihao Wan Hong Yang Jipan Xu Hongbo Mu Dawei Qi 
This study was supported by the Fundamental Research Funds for the Central Universities(No.2572023DJ02).
Effective development and utilization of wood resources is critical.Wood modification research has become an integral dimension of wood science research,however,the similarities between modified wood and original wood...
关键词：Wood classification Near infrared spectroscopy Bilinear network SE module Anti-noise algorithm 
Deep learning methods for noisy sperm image classification from convolutional neural network to visual transformer:a comprehensive comparative study
《Intelligent Medicine》2024年第2期114-127,共14页Ao Chen Chen Li Md Mamunur Rahaman Yudong Yao Haoyuan Chen Hechen Yang Peng Zhao Weiming Hu Wanli Liu Shuojia Zou Ning Xu Marcin Grzegorzek 
supported by the National Natural Science Foundation of China(Grant No.82220108007).
Background With the gradual increase of infertility in the world,among which male sperm problems are the main factor for infertility,more and more couples are using computer-assisted sperm analysis(CASA)to assist in t...
关键词：Computer-assisted sperm analysis ANTI-NOISE Robustness Deep learning .Image classification Sperm image Conventional noise Adversarial attacks Convolutional neural network Visual transformer 
Damage Diagnosis of Bleacher Based on an Enhanced Convolutional Neural Network with Training Interference
《Structural Durability & Health Monitoring》2024年第3期321-339,共19页Chaozhi Cai Xiaoyu Guo Yingfang Xue Jianhua Ren 
the Nature Science Foundation of Hebei Province Grant No.E2020402060;Key Laboratory of Intelligent Industrial Equipment Technology of Hebei Province(Hebei University of Engineering)under Grant 202206.
Bleachers play a crucial role in practical engineering applications, and any damage incurred during their operationposes a significant threat to the safety of both life and property. Consequently, it becomes imperativ...
关键词：Bleacher vibration signal damage diagnosis convolutional neural network anti-noise ability 
A multi-scale convolutional neural network for bearing compound fault diagnosis under various noise conditions被引量：9
《Science China(Technological Sciences)》2022年第11期2551-2563,共13页JIN YanRui QIN ChengJin ZHANG ZhiNan TAO JianFeng LIU ChengLiang 
supported by the National Key R&D Program of China(Grant No.2020YFB1709604);the State Key Laboratory of Mechanical System and Vibration(Grant No.MSVZD202103);the Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX0102);。
Recently,with the urgent demand for data-driven approaches in practical industrial scenarios,the deep learning diagnosis model in noise environments has attracted increasing attention.However,the existing research has...
关键词：ANTI-NOISE residual pre-processing block bearing compound fault multi-label classifier multi-scale convolution feature extraction 
Robust voiceprint recognition with adaptive anti-noise ability based on fitting and compensation
《Chinese Journal of Acoustics》2022年第3期279-294,共16页CHEN Zhuang YU Yibiao 
The current voiceprint recognition system has a good performance in a quiet environment,but in the variant noisy background,the performance will decrease sharply due to changes in training and application environment....
关键词：noise sharply performance 
Bearing Fault Diagnosis Method of Wind Turbine Based on Improved Anti-Noise Residual Shrinkage Network
《Energy Engineering》2022年第2期665-680,共16页Xiaolei Li 
Aiming at the difficulty of rolling bearing fault diagnosis of wind turbine under noise environment,a new bearing fault identification method based on the Improved Anti-noise Residual Shrinkage Network(IADRSN)is propo...
关键词：Bearing fault diagnosis improved residual shrinkage network noise immunity 
Multi-class classification method for steel surface defects with feature noise被引量：1
《Journal of Iron and Steel Research International》2021年第3期303-315,共13页Mao-xiang Chu Yao Feng Yong-hui Yang Xin Deng 
This work was supported by the National Natural Science Foundation of China(No.51674140);Natural Science Foundation of Liaoning Province,China(No.20180550067);Department of Education of Liaoning Province,China(Nos.2017LNQN11 and 2020LNZD06);University of Science and Technology Liaoning Talent Project Grants(No.601011507-20);University of Science and Technology Liaoning Team Building Grants(No.601013360-17).
Defect classification is the key task of a steel surface defect detection system.The current defect classification algorithms have not taken the feature noise into consideration.In order to reduce the adverse impact o...
关键词：Steel surface defect Multi-class classification Anti-noise support vector hyper-sphere Parameter iteration adjustment Feature noise 
Unbalanced classification method using least squares support vector machine with sparse strategy for steel surface defects with label noise
《Journal of Iron and Steel Research International》2020年第12期1407-1419,共13页Li-ming Liu Mao-xiang Chu Rong-fen Gong Xin-yu Qi 
the Natural Science Foundation of Liaoning Province,China(20180550067);Liaoning Province Ministry of Education Scientific Study Project(2020LNZD06 and 2017LNQN11);University of Science and Technology Liaoning Talent Project Grants(601011507-20 and 601013360-17).
Least squares support vector machine (LS-SVM) plays an important role in steel surface defects classification because of its high speed. However, the defect samples obtained from the real production line may be noise....
关键词：Steel surface defect Least squares support vector machine ANTI-NOISE SPARSENESS Unbalanced data 
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