Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India;
Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India;
Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India;
Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India;
Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India;
Department of Computer Science and Engineering, Galgotia College of Engineering and Technology, Greater Noida, India;
Machine learning; Prediction algorithms; Machine learning algorithms; Protocols; Telecommunication traffic; Classification algorithms; Support vector machines;
机译:网络流量捕获工具和机器学习算法的性能分析,用于分类应用,州和异常
机译:用于基于流量的准确网络流量分类的机器学习算法:评估和比较
机译:使用机器学习算法的微信流量分类和数据集比较分析
机译:使用机器学习算法的网络流量分类分析
机译:借助机器学习算法和OpenFlow加速器,增强了对超高速在线网络流量的分类。
机译:超声乳房病变中传统机器学习算法卷积神经网络和自动视力的性能评价:比较研究
机译:寻找入侵检测系统网络流量分类的最优机器学习算法
机译:使用机器学习算法分类加密Web流量。