ITERATIVE

作品数:554被引量:833H指数:10
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相关领域:自动化与计算机技术更多>>
相关作者:刘诚余伟何小亮朱健强高淑梅更多>>
相关机构:东南大学江南大学清华大学吉林大学更多>>
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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高技术研究发展计划国家教育部博士点基金更多>>
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DDoS Attack Tracking Using Multi-Round Iterative Viterbi Algorithm in Satellite Internet
《China Communications》2025年第3期148-163,共16页Guo Wei Xu Jin Pei Yukui Yin Liuguo Feng Wei 
supported by the National Key R&D Program of China(Grant No.2022YFA1005000);the National Natural Science Foundation of China(Grant No.62025110 and 62101308).
Satellite Internet(SI)provides broadband access as a critical information infrastructure in 6G.However,with the integration of the terrestrial Internet,the influx of massive terrestrial traffic will bring significant ...
关键词:DDoS tracking iterative Viterbi algorithm satellite Internet 6G 
Unknown DDoS Attack Detection with Sliced Iterative Normalizing Flows Technique
《Computers, Materials & Continua》2025年第3期4881-4912,共32页Chin-Shiuh Shieh Thanh-Lam Nguyen Thanh-Tuan Nguyen Mong-Fong Horng 
supported by the National Science and Technology Council,Taiwan with grant numbers NSTC 112-2221-E-992-045,112-2221-E-992-057-MY3,and 112-2622-8-992-009-TD1.
DDoS attacks represent one of the most pervasive and evolving threats in cybersecurity,capable of crippling critical infrastructures and disrupting services globally.As networks continue to expand and threats become m...
关键词:Distributed denial of service sliced iterative normalizing flows open-set recognition CYBERSECURITY deep learning 
3D Seismic Data Reconstruction based on Weighted Fast Iterative Shrinkage Thresholding algorithm
《Applied Geophysics》2025年第1期22-34,231,232,共15页Zhang Hua Qiu Da-Xing Mo Zi-Fen Hao Ya-Ju Wu Zhao-Qi Dai Meng-Xue 
National Natural Science Foundation of China under Grant 42304145;Jiangxi Provincial Natural Science Foundation under Grant 20242BAB26051,20242BAB25191 and 20232BAB213077;Foundation of National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing under Grant 2024QZ-TD-13;Open Fund(FW0399-0002)of SINOPEC Key Laboratory of Geophysics。
Data reconstruction is a crucial step in seismic data preprocessing.To improve reconstruction speed and save memory,the commonly used three-dimensional(3D)seismic data reconstruction method divides the missing data in...
关键词:data reconstruction fast iterative shrinkage thresholding prior support set weighted operator 
High-precision tip positioning composite feedforward control of linear colocated motion systems with Bi-Loop iterative feedforward tuning
《Science China(Technological Sciences)》2025年第2期153-166,共14页Junyu HU Yourui TAO Shanhu LI Xu HAN 
supported by the National Natural Science Foundation Regional Innovation and Development Joint Fund Integrated Project(Grant No.U23A6017);the Central Guidance on Local Science and Technology Development Fund of Hebei Province(Grant No.226Z1805G).
To enhance the tip positioning accuracy and robustness against disturbances of linear colocated motion systems,a novel composite feedforward(COMFF)control with Bi-Loop iterative feedforward tuning(IFFT)is proposed.The...
关键词:composite feedforward(COMFF)control Bi-Loop iterative feedforward tuning(Bi-Loop IFFT) colocated motion systems nonlinear friction flexible load 
An Iterative PRISMA Review of GAN Models for Image Processing, Medical Diagnosis, and Network Security
《Computers, Materials & Continua》2025年第2期1757-1810,共54页Uddagiri Sirisha Chanumolu Kiran Kumar Sujatha Canavoy Narahari Parvathaneni Naga Srinivasu 
The growing spectrum of Generative Adversarial Network (GAN) applications in medical imaging, cyber security, data augmentation, and the field of remote sensing tasks necessitate a sharp spike in the criticality of re...
关键词:GAN CGAN WGAN DCGAN image analysis 
Multi-Strategy Improved Secretary Bird Optimization Algorithm
《Journal of Computer and Communications》2025年第1期90-107,共18页Fengkai Wang Bo Wang 
This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this end, an improved Sparrow an...
关键词:Secretary Bird Optimization Algorithm Iterative Mapping Adaptive Weight Strategy Cauchy Variation Convergence Speed 
Integrating petrophysical data into efficient iterative cluster analysis for electrofacies identification in clastic reservoirs
《Energy Geoscience》2024年第4期291-305,共15页Mohammed A.Abbas Watheq J.Al-Mudhafar Aqsa Anees David A.Wood 
Efficient iterative unsupervised machine learning involving probabilistic clustering analysis with the expectation-maximization(EM)clustering algorithm is applied to categorize reservoir facies by exploiting latent an...
关键词:Cluster analysis Electrofacies classification Expectation-maximization(EM)algorithm Clastic reservoir Maximum likelihood estimate(MLE) 
A Local Differential Privacy Hybrid Data Clustering Iterative Algorithm for Edge Computing
《Chinese Journal of Electronics》2024年第6期1421-1434,共14页Yousheng ZHOU Zhonghan WANG Yuanni LIU 
supported by the National Natural Science Foundation of China(Grant No.62272076)。
As a new computing method,edge computing not only improves the computing efficiency and processing power of data,but also reduces the transmission delay of data.Due to the wide variety of edge devices and the increasi...
关键词:Edge computing Privacy protection Local differential privacy Attribute weight Iterative clustering 
A Dense Feature Iterative Fusion Network for Extracting Building Contours from Remote Sensing Imagery
《Journal of Donghua University(English Edition)》2024年第6期654-661,共8页WU Jiangyan WANG Tong 
National Natural Science Foundation of China(No.61903078);Fundamental Research Funds for the Central Universities,China(No.2232021A-10);Shanghai Sailing Program,China(No.22YF1401300);Natural Science Foundation of Shanghai,China(No.20ZR1400400)。
Extracting building contours from aerial images is a fundamental task in remote sensing.Current building extraction methods cannot accurately extract building contour information and have errors in extracting small-sc...
关键词:remote sensing image building contour extraction feature iteration 
MetMiner:A user-friendly pipeline for large-scale plant metabolomics data analysis
《Journal of Integrative Plant Biology》2024年第11期2329-2345,共17页Xiao Wang Shuang Liang Wenqi Yang Ke Yu Fei Liang Bing Zhao Xiang Zhu Chao Zhou Luis A.J.Mur Jeremy A.Roberts Junli Zhang Xuebin Zhang 
supported by the National Key Research and Development Program of China(No.2021YFA1300401);the Henan Key Scientific Research Programs to Universities and Colleges(No.22ZX006,to X.Z.);the National Natural Science Foundation of China(No.31970323 and 32170269,to X.Z.);the Postdoctoral Research Initiation Program in Henan Province(No.HN2022138 to X.W.)。
The utilization of metabolomics approaches to explore the metabolic mechanisms underlying plant fitness and adaptation to dynamic environments is growing,highlighting the need for an efficient and user-friendly toolki...
关键词:data mining iterative WGCNA metabolomics PIPELINE shinyapp 
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