Volume 31, Issue 1 Supplement, January 2019

Special Issue on Machine Learning Applications for Self-Organized Wireless Networks (pp. 1-357 )

ISSN: 0941-0643 (Print) 1433-3058 (Online)

In this issue (50 articles)

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  1. No Access

    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    An efficient technique for mitigating stealthy attacks using MNDA in MANET

    D. Muruganandam, J. Martin Leo Manickam Pages 15-22
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    A multi-objective location and channel model for ULS network

    Hejun Liang, Guanghui Yuan, Jingti Han, Lily Sun Pages 35-46
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    DECSA: hybrid dolphin echolocation and crow search optimization for cluster-based energy-aware routing in WSN

    N. Mahesh, S. Vijayachitra Pages 47-62
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    An efficient top-k ranking method for service selection based on ε-ADMOPSO algorithm

    Wei Yu, Shijun Li, Xiaoyue Tang, Kai Wang Pages 77-92
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    Robust object tracking with the inverse relocation strategy

    Shuhe Sun, Zhiyong An, Xinbo Jiang, Bin Zhang Pages 123-132
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    Hotness-aware page partition management method

    Fengjun Shang, Chang Liu, Wenkai Wang Pages 133-146
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    The landing safety prediction model by integrating pattern recognition and Markov chain with flight data

    Shenghan Zhou, Yuliang Zhou, Zhenzhong Xu Pages 147-159
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    Identification of driver’s braking intention based on a hybrid model of GHMM and GGAP-RBFNN

    Xuan Zhao, Shu Wang, Jian Ma, Qiang Yu, Qiang Gao Pages 161-174
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    Video crowd detection and abnormal behavior model detection based on machine learning method

    Shaoci Xie, Xiaohong Zhang, Jing Cai Pages 175-184
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    Detection malicious Android application based on simple-Dalvik intermediate language

    Qi Li, Bowen Sun, Meiqi Chen, Hang Dong Pages 185-194
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    TRec: an efficient recommendation system for hunting passengers with deep neural networks

    Zhenhua Huang, Guangxu Shan, Jiujun Cheng, Jian Sun Pages 209-222
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    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    Earliest deadline first scheduling technique for different networks in network control system

    C. T. Kalaivani, N. Kalaiarasi Pages 223-232
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