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  • Resconi, G; Chaczko, ZC (Springer-Verlag Berlin Heidelberg 2012, 2012-01)
    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 ...
  • Leggett, MG (Libri Publishing, 2011-01)
    In the computer-based digital domain, interaction with video is becoming an everyday occurrence. Breaking away from our traditional regard for moving images organised along the linear principles of the filmic tradition, ...
  • Ubaudi, FA; Kennedy, PJ; Catchpoole, DR; Guo, D; Simoff, SJ (Springer, 2009-01)
    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 ...
  • Amailef, K; Lu, J (Springer, 2012-01)
    This chapter describes an algorithm within a Mobile-based Emergency Response System (MERS) to automatically extract information from Short Message Service (SMS). The algorithm is based on an ontology concept, and a maximum ...
  • Chaczko, ZC; Rasconi, G (Springer, 2009-01)
    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 ...
  • Resconi, G; Chaczko, ZC (Springer, 2009-01)
    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 ...
  • Coulin, CR; Zowghi, D; Sahraoui, A (Information Science Reference, 2010-01)
    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 ...
  • Khushaba, RN; Al-Jumaily, A (IGI Global, 2008-01)
    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 ...
  • Homayounfard, H; Kennedy, PJ; Braun, RM (Springer, 2013)
  • Galloway, J; Simoff, SJ (SPRINGER-VERLAG BERLIN, 2006-01-01)
  • Gervasi, V; Zowghi, D (SPRINGER-VERLAG BERLIN, 2010-01-01)
  • Wouters, C; Rajagopalapillai, R; Dillon, TS; Rahayu, W (Idea Group Publishing, 2006-01)
    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 ...
  • Kale, AV; Chaczko, ZC; Rudas, I (Springer-Verlag Berlin Heidelberg 2012, 2012-01)
    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 ...
  • Luo, Y; Tao, D; Xu, C (Springer New York, 2013-01)
    Dozens of manifold learning-based dimensionality reduction algorithms have been proposed in the literature. The most representative ones are locally linear embedding (LLE) [65], ISOMAP [76], Laplacian eigenmaps (LE) [4], ...
  • Al-Ani, A; Atiya, A (Springer, 2010-01)
    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 ...
  • Ying, M (Elsevier, 2007-01)
    An axiomatization of a mathematical theory consists of a system of basic notions as well as a set of axioms about these notions. The mathematical theory is then the set of theorems which can be derived from the axioms. ...
  • Henderson-Sellers, B (SPRINGER-VERLAG BERLIN, 2011-01-01)
  • Zhang, H; Zhao, Y; Cao, L; Zhang, C; Bohlscheid, H (IGI Global, 2010-01)
    In this chapter, the authors propose a novel framework for rare class association rule mining. In each class association rule, the right-hand is a target class while the left-hand may contain one or more attributes. This ...
  • Luo, C; Zhao, Y; Luo, D; Ou, Y; Liu, L (IGI Global, 2010-01)
    This chapter aims to provide a comprehensive survey of the current advanced technologies of exception mining in stock market. The stock market surveillance is to identify market anomalies so as to provide a fair and efficient ...