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@awabid
Bandeira de Pakistan Sargodha, Pakistan
Membro desde 10 de maio de 2008
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awabid

On-line Offline
The organization has worked for: -Military organizations for development of real-time systems -Law Enforcement Agencies in connection with network services -Civil Airline Company for providing them the CRM -For other companies in civil market in connection with operational softwares
$20 USD/hr
12 comentários
3.6
  • 87%Trabalhos concluídos
  • 100%No Orçamento
  • 100%Pontualmente
  • 44%Taxa de Recontratação

Portfólio

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Experiência

Expert Services

Jul 2001

Extensive experience in Matlab/Octave and Simulink coding and modelling. Areas of expertise is Artificial Intelligence, Artificial Neural Network, Machine Learning, Computer Vision, Speech Processing, Robotics (Localization and estimation problems), and Fuzzy Logic - Worked in the areas of Genetic Algorithms, Artificial Intelligence, Fuzzy Logics and trackers (My paper in IASTED in 2005 proceedings in Computational Intelligence). I have a theoretical and practical knowledge in mathmatical cryptography, diff

Experiences

Jul 2001

- Extensive experience in Matlab/Octave and Simulink coding and modelling. Areas of expertise is Artificial Intelligence, Artificial Neural Network, Machine Learning, Computer Vision, Speech Processing, Robotics (Localization and estimation problems), and Fuzzy Logic - Worked in the areas of Genetic Algorithms, Artificial Intelligence, Fuzzy Logics and trackers (My paper in IASTED in 2005 proceedings in Computational Intelligence). I have a theoretical and practical knowledge in mathmatical cryptography, di

Educação

B.E (Avionics)

1997 - 2001 (4 years)

Publicações

Genetic Algorithms based Design of a Radar Tracker for Stressful Environments

In this paper, we present genetically optimized fuzzy alpha beta tracker for radar tracking in rather stressful environ ments. During the course of flight, an aircraft can accel erate and may make sharp turns. Limitations of the sen sor may also add noise to the actual already-stressful envi ronment, which further reduce the accuracy of alpha-beta and fuzzy alpha-beta tracker. Moreover, fuzzy alpha-beta tracker requires expert domain knowledge for modeling of fuzzy gain filters. The proposed tracker elimina

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