Browsing by Author "Al-Ani Ahmed"

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Browsing by Author "Al-Ani Ahmed"

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  • Multi-Channel Subspace Mapping Using an Information Maximization Criterion 
    Al-Ani Ahmed; Deriche Mohamed (Springer Netherlands, 2004)
    A new hybrid information maximization (HIM) algorithm is derived. This algorithm is able to perform subspace mapping of multi-channel signals, where the input (feature) vector for each of the channels is linearly transformed ...
  • A new mutual information based measure for feature selection 
    Al-Ani Ahmed; Deriche Mohamed; Chebil Jalel (IOS Press, 2003)
    In this paper, we discuss the problem of feature selection and the importance of using mutual information in evaluating the discrimination ability of feature subsets between class labels. Because of the difficulties ...
  • Novel Feature Extraction Method based on Fuzzy Entropy and Wavelet Packet Transform for Myoelectric Control 
    Al-Jumaily Adel; Khushaba Rami N; Al-Ani Ahmed (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    In this paper, a novel feature extraction method based on the utilization of wavelet packet transform (WPT) and the concept of fuzzy entropy is presented. The method acts in steps, were in the first step the WPT is ...
  • A Novel Swarm-Based Feature Selection Algorithm in Multifunction Myoelectric Control 
    Zomaya Albert; Al-Jumaily Adel; Khushaba Rami N; Al-Ani Ahmed; Al Sukker Akram (IOS Press, 2009)
    Accurate and computationally efficient myoelectric control strategies have been the focus of a great deal of research in recent years. Although many attempts exist in literature to develop such strategies, deficiencies ...
  • Optimising the K-NN Metric Weights Using Differential Evolution 
    Al Sukker Akram; Khushaba Rami N; Al-Ani Ahmed (IEEE, 2010)
    Traditional k-NN classifier poses many limitations including that it does not take into account each class distribution, importance of each feature, contribution ofeach neighbor, and the number ofinstances for each class. ...
  • Orthogonal Fuzzy Neighborhood Discriminant Analysis for Multifunction Myoelectric Hand Control 
    Khushaba Rami N; Al-Ani Ahmed; Al-Jumaily Adel (IEEE, 2010)
    Developing accurate and powerful electromyogram (EMG) driven prostheses controllers that can provide the amputees with effective control on their artificial limbs, has been the focus of a great deal of research in the past ...
  • Orthogonal locality sensitive fuzzy discriminant analysis in sleep-stage scoring 
    Khushaba Rami N; Elliott Rosalind; Alsukker Akram; Al-Ani Ahmed; Mckinley Sharon (IEEE, 2010)
    Sleep-stage scoring plays an important role in analyzing the sleep patterns of people. Studies have revealed that Intensive Care Unit (ICU) patients do not usually get enough quality sleep, and hence, analyzing their sleep ...
  • 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 ...
  • A penalized likelihood based pattern classification algorithm 
    Atiya Amir; Al-Ani Ahmed (Elsevier, 2009)
    Penalized likelihood is a general approach whereby an objective function is defined, consisting of the log likelihood of the data minus some term penalizing non-smooth solutions. Subsequently, this objective function is ...
  • Swarm based Fuzzy Discriminant Analysis for Multifunction Prosthesis Control 
    Khushaba Rami N; Al-Ani Ahmed; Al-Jumaily Adel (Springer-Verlag Berlin Heidelberg, 2010)
    In order to interface the amputeeâ¿¿s with the real world, the myoelectric signal (MES) from human muscles is usually utilized within a pattern recognition scheme as an input to the controller of a prosthetic device. Since ...
  • Swarmed Discriminant Analysis for Multifunction Prosthesis Control 
    Khushaba Rami N; Al-Ani Ahmed; Al-Jumaily Adel (World Academy of Science, 2011)
    One of the approaches enabling people with amputated limbs to establish some sort of interface with the real world includes the utilization of the myoelectric signal (MES) from the remaining muscles of those limbs. The MES ...
  • Swarm Intelligence based Dimensionality Reduction for Myoelectric Control 
    Al-Ani Ahmed; Khushaba Rami N; Al-Jumaily Adel (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    Recent approaches in multifunction myoelectrically controlled prosthetic devices revealed that dimensionality reduction plays a significant role in the overall system performance. In this paper, a new feature selection ...
  • Swarm Intelligence In Myoelectric Control: Particle Swarm Based Dimensionality Reduction 
    Khushaba Rami N; Al-Ani Ahmed; Al-Jumaily Adel (IASTED, 2008)
    The myoelectric signals (MES) from human muscles have been utilized in many applications such as prosthesis control. The identification of various MES temporal structures is used to control the movement of prosthetic devices ...