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  • Machine Learning Techniques for Network Intrusion Detection 
    Tran Tich Phuoc; Tsai Po-Hsiang; Jan Tony; He Xiangjian (IGI Global, 2010)
    Most of the currently available network security techniques are not able to cope with the dynamic and increasingly complex nature of cyber attacks on distributed computer systems. Therefore, an automated and adaptive ...
  • Managing Enterprise Architecture Change 
    O'Neill Tim; Denford Mark; Leaney John; Dunsire Kyle (IGI Global, 2007)
  • Managing Power Conservation in Wireless Networks 
    Lin Kongluan; Debenham John; Simoff Simeon (Springer-Verlag Berlin Heidelberg, 2010)
    A major project is investigating methods for conserving power in wireless networks. A component of this project addresses methods for predicting whether the user demand load in each zone of a network is increasing, decreasing ...
  • Managing the Environmental Impact of Information Technology 
    Dyson Laurel (Information Science Reference, 2008)
    NA
  • Mechatronics and the Bond Graph Theory Extended by the Morphotronic Systems 
    Resconi Germano; Chaczko Zenon (Springer-Verlag Berlin Heidelberg 2012, 2012)
    Mechatronics plays an important role in surgical, automotive, food and industrial applications. To become smarter and more robust, mechatronic systems have to rely on numerous objects and controls that operate in a diverse ...
  • Method construction by goal analysis 
    Gonzalez Perez Cesar; Giorgini Paolo; Henderson-Sellers Brian (Springer US, 2009)
    Method engineering proposes the construction of methodologies by selecting method fragments from a repository and assembling them in an appropriate way. However, the rules by which the â¿¿optimalâ¿ method fragments are ...
  • Microarray data mining: selecting trustworthy genes with gene feature ranking 
    Ubaudi Franco; Kennedy Paul; Catchpoole Daniel; Guo Dachuan; Simoff Simeon (Springer-Verlag, 2009)
    Gene expression datasets used in biomedical data mining frequently have two characteristics: they have many thousand attributes but only relatively few sample points and the measurements are noisy. In other words, individual ...
  • Morphotronic System (Applications) 
    Chaczko Zenon; Rasconi Germano (Springer Berlin Heidelberg NewYork, 2009)
    This paper discusses a newly proposed Morphotronic System paradigm that can be used as a general computation model for construction of software. The Morphotronic System allows for a definition of very flexible software ...
  • Morphotronic System Theory 
    Resconi Germano; Chaczko Zenon (Springer Berlin Heidelberg New York, 2009)
    The Morphotronic approach postulates a significant improvement to traditional system design thinking based on the Turing Machine model. The paper presents a range of important concepts and definitions supporting this ...
  • A multiagent system for self-organisation of an 802.11 mesh network 
    Debenham John; Prodan Ante (Springer Berlin / Heidelberg, 2009)
    The self-organisation of telecommunications networks has to confront the two challenges of the scalability and the stability of the solution. This paper describes a distributed, co-operative multiagent system in which ...
  • A Multiple System Performance Monitoring Model for Web Services 
    Yang Yong; Luo Dan; Zhang Chengqi (Springer-Verlag Berlin Heidelberg, 2010)
    With the exponential growth of the world wide web, web services have becoming more and more popular. However, performance monitoring is a key issue in the booming service-orient architecture regime. Under such loosely ...
  • MUSTER: A Situational Tool for Requirements Elicitation 
    Coulin Chad; Zowghi Didar; Sahraoui Abd-El-Kader (Information Science Reference, 2010)
    In this chapter they present a collaborative and situational tool called MUSTER, that has been specifically designed and developed for requirements elicitation workshops, and which utilizes, extends, and demonstrates a ...
  • Myoelectric Control of Prosthetic Devices for Rehabilitation 
    Khushaba Rami N; Al-Jumaily Adel (IGI Global, 2008)
    rapid increase in popularity in the past few years. The electromyography (EMG) signal, also referred to as the Myoelectric signal (MES), recorded at the surface of the skin, is one of the biosignals generated by the human ...
  • Network data mining: discovering patterns of interaction between attributes 
    Galloway John; Simoff Simeon (Springer-Verlag, 2006)
    Network Data Mining identifies emergent networks between myriads of individual data items and utilises special statistical algorithms that aid visualisation of 'emergent' patterns and trends in the linkage. It complements ...
  • A Novel Strategy For Multiagent Coalitions in a Dynamic Hostile World 
    Goyal Madhu (Springer, 2007)
    One of the main underpinning of the multi-agent systems community is how and why autonomous agents should cooperate with one another. Several formal and computational models of cooperative work or coalition are currently ...
  • On the Role of Ambiguity in RE 
    Gervasi Vincenzo; Zowghi Didar (Springer-Verlag Berlin Heidelberg, 2010)
    [Context and motivation] Ambiguity has long been pictured as one of the worst enemies of the specifier, especially with reference to ambiguity in natural language (NL) requirements specifications. [Question/problem] In ...
  • Ontology Extraction Using Views for Semantic Web 
    Wouters Carlo; Rajagopalapillai Rajugan; Dillon Tharam; Rahayu Wenny (Idea Group Publishing, 2006)
    The emergence of Semantic Web (SW) and the related technologies promise to make the Web a meaningful experience. Conversely, success of SW and its applications depends largely on utilization and interoperability of ...
  • An ontology for software development methodologies and endeavours 
    Gonzalez Perez Cesar; Henderson-Sellers Brian (Springer-Verlag, 2006)
  • Parallel Robot Vision Using Genetic Algorithm and Object Centroid 
    Kale Anup; Chaczko Zenon; Rudas Imre (Springer-Verlag Berlin Heidelberg 2012, 2012)
    Parallel Robots are playing a very important role in the medical, automotive, food and many manufacturing applications. Due to its high speed and efficient operation, it is gaining an increasing popularity in these application ...
  • Pattern Classification using a Penalised Likelihood Method 
    Al-Ani Ahmed; Atiya Amir (Springer, 2010)
    Penalized likelihood is a well-known theoretically justified approach that has recently attracted attention by the machine learning society. The objective function of the Penalized likelihood consists of the log likelihood ...