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  1. Identifying Interesting Patterns in Multidatabases

    In this chapter we develop a new technique for mining multidatabases. The new mining algorithm, by comparing to traditional multidatabase mining...
    Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang in Classification and Clustering for Knowledge Discovery
    Chapter

  2. 10. Future Research Directions and Potential Applications

    Many interesting applications of switched and impulsive systems have been presented in the previous chapters. We shall conclude this book by...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter

  3. 2. Analysis of Switched and Impulsive Systems

    The analysis will focus on the case where the switchings are governed by a finite state machine. This is because the common Lyapunov function method...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter

  4. Thematic Fuzzy Prediction of Weed Dispersal Using Spatial Dataset

    This paper demonstrates the framework and methodology of how weed population dynamics can be predicted using rule-base fuzzy logic as applied to GIS...
    Andrew Chiou, **nghuo Yu in Computational Intelligence for Modelling and Prediction
    Chapter

  5. Fuzzy Logic Strategy of Prognosticating TCP’s Timeout and Retransmission

    The work presented in this paper is the design and implementation of an intelligent strategy using fuzzy logic technology to gauge the TCP timeout...
    Zhongwei Zhang, Zhi Li, Shan Suthaharan in Computational Intelligence for Modelling and Prediction
    Chapter

  6. An Integrity Estimation Using Fuzzy Logic

    The authors have been involved in develo** an automated inspection system, based on machine vision, to assess the seaming quality in metal...
    P. Mariño, C. A. Sigüenza, ... F. Machado in Computational Intelligence for Modelling and Prediction
    Chapter

  7. A New Approach to Building Fuzzy Classifications in Sociological Research with Survey Data

    This paper offers a new approach to building classifications in sociological and marketing research. This approach is based on survey data and expert...
    Yu. N. Blagoveschensky, G.A. Satarov in Classification and Clustering for Knowledge Discovery
    Chapter

  8. 3. Stability of Linear Switched and Impulsive Systems

    In the previous chapter, we have set up the basic framework for the stability analysis of switched and impulsive systems. The framework provides the...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter

  9. Simultaneous Localization, Control and Map**

    The issue of combining control and estimation together during SLAM has in general been addressed with the idea of online high level trajectory...
    Juan Andrade-Cetto, Alberto Sanfeliu in Environment Learning for Indoor Mobile Robots
    Chapter

  11. Classification

    ...
    Johan Baeten, Joris De Schutter in Integrated Visual Servoing and Force Control
    Chapter

  12. Appendix A: Derivations

    ...
    Johan Baeten, Joris De Schutter in Integrated Visual Servoing and Force Control
    Chapter

  14. Using Boosting Techniques to Improve the Performance of Fuzzy Classification Systems

    This paper proposes a boosting algorithm of fuzzy rule-based systems for pattern classification. In the proposed algorithm, several fuzzy rule-based...
    Tomoharu Nakashima, Hisao Ishibuchi in Classification and Clustering for Knowledge Discovery
    Chapter

  15. Centralised Strategies for Cluster Formation in Sensor Networks

    Cluster based communication protocols for sensor networks are useful if the cluster formation is energy efficient. Centralised cluster formation can...
    Malka N. Halgamuge, Siddeswara M. Guru, Andrew Jennings in Classification and Clustering for Knowledge Discovery
    Chapter

  16. Profiling Network Applications with Fuzzy C-means and Self-Organizing Maps

    This study addresses the problem of generating application clusters from network traffic data. These clusters are used for classification and...
    Timo Lampinen, Mikko Laurikkala, ... Tapani Honkanen in Classification and Clustering for Knowledge Discovery
    Chapter

  17. Adaptive Fuzzy Zone Routing for Wireless Ad Hoc Networks

    In this chapter we introduce how to implement fuzzy logic for ad hoc networks. Ad hoc networks are characterized by multi-hop wireless connectivity,...
    Tawan Thongpook in Classification and Clustering for Knowledge Discovery
    Chapter

  18. 6. Chaos Based Secure Communication Systems

    In this chapter, the results obtained in the previous chapter will be used to design a chaos based secure communication system. Specifically, these...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter

  19. B Concepts from Linear Algebra

    ...
    Juan Andrade-Cetto, Alberto Sanfeliu in Environment Learning for Indoor Mobile Robots
    Chapter

  20. Unscented Transformation of Vehicle States

    We have already seen that the Extended Kalman Filter (EKF) is the most widely accepted tool for solving SLAM [31, 85]. One drawback however with the...
    Juan Andrade-Cetto, Alberto Sanfeliu in Environment Learning for Indoor Mobile Robots
    Chapter
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