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Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation

机译：僵尸网络检测技术调查：分类，方法和评估

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Ying Xing; Hui Shu; Hao Zhao; Dannong Li; Li Guo;
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年度 2021
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1. Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation [J] . Ying Xing, Hui Shu, Hao Zhao, Mathematical Problems in Engineering: Theory, Methods and Applications . 2021,第a期

机译：僵尸网络检测技术调查：分类，方法和评估
2. Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects [J] . O.S. Albahri, A.A. Zaidan, A.S. Albahri, Journal of infection and public health. . 2020,第10期

机译：在评估和基准中的Covid-19医学图像检测和分类中的系统审查：分类分析，挑战，未来解决方案和方法方面
3. Recommendation of RILEM TC 212-ACD: acoustic emission and related NDE techniques for crack detection and damage evaluation in concrete: Test method for classification of active cracks in concrete structures by acoustic emission [J] . Masayasu Ohtsu Materials and structures . 2010,第9期

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4. A Survey on Botnet Detection Techniques [C] . Shivani Gaonkar, Nandini Fal Dessai, Jenny Costa, International Conference on Emerging Trends in Information Technology and Engineering . 2020

机译：僵尸网络检测技术概述
5. Numerical evaluation of classification techniques for flaw detection. [D] . Vallamsundar, Suriyapriya. 2007

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6. Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease [O] . M. Gadermayr, M. Liedlgruber, A. Uhl, -1

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7. Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects [O] . O.S. Albahri, A.A. Zaidan, A.S. Albahri, 2020

机译：在评估和基准中的Covid-19医学图像检测和分类中的系统审查：分类分析，挑战，未来解决方案和方法方面

Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation

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