Browsing 08 Information and Computing Sciences by Author "Al-Ani Ahmed"

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  • Browsing 08 Information and Computing Sciences by Author

Browsing 08 Information and Computing Sciences by Author "Al-Ani Ahmed"

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  • Brain-Computer Interface Analysis using Continuous Wavelet Transform and Adaptive Neuro-Fuzzy Classifier 
    Darvishi Sam; Al-Ani Ahmed (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    The purpose of this paper is to analyze the electroencephalogram (EEG) signals of imaginary left and right hand movements, an application of Brain-Computer Interface (BCI). We propose here to use an Adaptive Neuron- Fuzzy ...
  • A Combined Ant Colony and Differential Evolution Feature Selection Algorithm 
    Al-Jumaily Adel; Khushaba Rami N; Al Sukker Akram; Al-Ani Ahmed (Springer, 2008)
    Feature selection is an important step in many pattern recognition systems that aims to overcome the so-called curse of dimensionality problem. Although Ant Colony Optimization (ACO) proved to be a powerful technique in ...
  • A dependency-based search strategy for feature selection 
    Al-Ani Ahmed (Pergamon-Elsevier Science Ltd, 2009)
    Feature selection has become an increasingly important field of research. It aims at finding optimal feature subsets that can achieve better generalization on unseen data. However, this can be a very challenging task, ...
  • Differential Evolution based Feature Subset Selection 
    Khushaba Rami N; Al-Jumaily Adel; Al-Ani Ahmed (IEEE, 2008)
    In this paper, a novel feature selection algorithm based on differential evolution (DE) optimization technique is presented. The new algorithm, called DEFS, modifies the DE which is a real-valued optimizer, to suit the ...
  • Dimensionality Reduction with Neuro-Fuzzy Discriminant Analysis 
    Khushaba Rami N; Al-Jumaily Adel; Al-Ani Ahmed (World Academy of Science, Engineering and Technology, 2009)
    One of the most important tasks in any pattern recognition system is to find an informative, yet small, subset of features with enhanced discriminatory power. In this paper, a new neuro-fuzzy discriminant analysis based ...
  • Enhanced Feature Selection Algorithm Using Ant Colony Optimization and Fuzzy Memberships 
    Al Sukker Akram; Khushaba Rami N; Al-Ani Ahmed; Al-Jumaily Adel (IASTED, 2008)
    Feature selection is an indispensable pre-processing step when mining huge datasets that can significantly improve the overall system performance. This paper presents a novel feature selection method that utilizes both the ...
  • An Enhanced Neural Network Ensemble for Automatic Sleep Scoring 
    Al Sukker Akram; Al-Ani Ahmed (IEEE Xplore, 2011)
    Improving the diversity of Neural Network Ensembles (NNE) plays an important role in creating robust classification systems in many fields. Several methods have been proposed in the literature to create such diversity using ...
  • Enhancing the diversity of genetic algorithm for improved feature selection 
    Alsukker Akram; Khushaba Rami N; Al-Ani Ahmed (IEEE, 2011)
    Genetic algorithm (GA) is one of the most widely used population-based evolutionary search algorithms. One of the challenging optimization problems in which GA has been extensively applied is feature selection. It aims at ...
  • Feature Subset Selection Using Differential Evolution 
    Khushaba Rami N; Al-Ani Ahmed; Al-Jumaily Adel (Springer Berlin / Heidelberg, 2009)
    One of the fundamental motivations for feature selection is to overcome the curse of dimensionality. A novel feature selection algorithm is developed in this chapter based on a combination of Differential Evolution (DE) ...
  • Fuzzy Discriminant Analysis based Feature Projection in Myoelectric Control 
    Khushaba Rami N; Al-Jumaily Adel; Al-Ani Ahmed (IEEE, 2008)
    The myoelectric signal (MES) from human muscles is usually utilized as an input to the controller of a multifunction prosthetic hand. In such a system, a pattern recognition approach is usually employed to discriminate ...
  • Intelligent Artificial Ants based Feature Extraction from Wavelet Packet Coefficients for Biomedical Signal Classification 
    Al-Jumaily Adel; Khushaba Rami N; Al-Ani Ahmed; Al Sukker Akram (IEEE, 2008)
    n this paper, a new feature extraction method utilizing ant colony optimization in the selection of wavelet packet transform (WPT) best basis is presented and adopted in classifying biomedical signals. The new algorithm, ...
  • A Modified K-Nearest Neighbor Classifier to Deal with Unbalanced Classes 
    Al Sukker Akram; Al-Ani Ahmed; Atiya Amir (INSTICC - Institute for Systems and Technologies of Information, Control and Communication, 2009)
    We present in this paper a simple, yet valuable improvement to the traditional k-Nearest Neighbor (kNN) classifier. It aims at addressing the issue of unbalanced classes by maximizing the class-wise classification accuracy. ...
  • 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 ...
  • 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 ...