Browsing by Author "Al-Ani Ahmed"

UTSePress Research/Manakin Repository

Search UTSePress Research

Browse

My Account

Browsing by Author "Al-Ani Ahmed"

Sort by: Order: Results:

  • An Ant Colony Optimization Based Approach for Feature Selection 
    Al-Ani Ahmed (International Congress for Global Science and Technology (ICGST), 2005)
    This paper presents a new feature subset selection algorithm based on the Ant Colony Optimization (ACO). ACO is a metaheuristic inspired by the behaviour of real ants in their search for the shortest paths to food ...
  • 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 ...
  • Effect of Feature and channel Selection on EEG Classification 
    Al-Ani Ahmed; Al Sukker Akram (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    In this paper, we evaluate the significance of feature and channel selection on EEG classification. The selection process is performed by searching the feature/channel space using genetic algorithm, and evaluating the ...
  • 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 ...
  • Evaluation of Feature Selection Methods for Improved EEG Classification 
    Al Sukker Akram; Al-Ani Ahmed (Research Publishing Services, 2006)
    This paper compares several methods for feature selection used in EEG classification. Sequential, heuristics and population-based search methods are compared according to their efficiency and computational cost A support ...
  • Evolutionary Fuzzy Discriminant Analysis Feature Projection Technique in Myoelectric Control 
    Khushaba Rami N; Al-Jumaily Adel; Al-Ani Ahmed (Elsevier, 2009)
    The controller of a multifunction prosthetic hand usually employs a pattern recognition scheme to discriminate between the myoelectric signals (MES) from different classes of the forearm movements. The MES is recorded using ...
  • Feature Subset Selection Using Ant Colony Optimization 
    Al-Ani Ahmed (International Journal of Computational Intelligence (IJCI), 2005)
    Feature selection is an important step in many pattern classification problems. It is applied to select a subset of features, from a much larger set, such that the selected subset is sufficient to perform the classification ...
  • Feature Subset Selection Using Ant Colony Optimization 
    Al-Ani Ahmed (International Journal of Computational Intelligence (IJCI), 2005)
    Feature selection is an important step in many pattern classification problems. It is applied to select a subset of features, from a much larger set, such that the selected subset is sufficient to perform the classification ...
  • 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) ...
  • Feature subset selection using differential evolution and a statistical repair mechanism 
    Khushaba Rami N; Al-Ani Ahmed; Al-Jumaily Adel (Pergamon - Elsevier Ltd., 2011)
    One of the fundamental motivations for feature selection is to overcome the curse of dimensionality problem. This paper presents a novel feature selection method utilizing 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 ...
  • A Hybrid Nonlinear-Discriminant Analysis Feature Projection Technique 
    Nguyen Hung; Khushaba Rami N; Al-Jumaily Adel; Al-Ani Ahmed (Springer, 2008)
    Feature set dimensionality reduction via Discriminant Analysis (DA) is one of the most sought after approaches in many applications. In this paper, a novel nonlinear DA technique is presented based on a hybrid of Artificial ...
  • 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. ...