Now showing items 1-4 of 4

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      A new Adaptive BFO Based on PSO for Learning Neural Network

      Alostaz, Ahmed; Alhanjouri, Mohammed A. (i-manager Publications, 2013)
      In this paper, we introduce a new learning algorithm for neural network. A New Adaptive bacteria foraging optimization based on particle swarm optimization (ABFO_PSO) is used in learning neural network. This paper reviews ...
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      BFO vs. BSO for video object tracking using particle filter (PF)

      Alhanjouri, Mohammed A.; Alostaz, Ahmed (2013)
      In this paper, we introduced a new algorithm for Video tracking, which is the process of locating a moving object (or multiple objects) over time using a camera. A new particle filter based on bacteria foraging optimization ...
    • OPTIMIZED AUTOMATED TRACKING OF A MOVING OBJECT WITH A ROBOTIC EYE SYSTEM

      Alostaz, Ahmed; Hamed, Basil (2016)
      Control and Intelligent Systems, Vol. 44, No. 1, 2016 OPTIMIZED AUTOMATED TRACKING OF A MOVING OBJECT WITH A ROBOTIC EYE SYSTEM Ahmed Alostaz∗ and Basil Hamed∗ Abstract This automated object tracking system is very essential ...
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      Optimized Particle Filter for Tracking of a Moving Video Object

      Hamed, Basil; Alostaz, Ahmed (University "POLITEHNICA" Timisoara, Romania, Faculty of Electrical and Power Engineering, 2015)
      Recently, the particle filter (PF) is used to track video object by estimating its position in image frame, but it suffers some problems: degeneracy phenomenon and sample impoverishment. In this paper, a new optimized ...