Search Results - (( sensing using optimization algorithm ) OR ( basic visualization based algorithm ))

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    Optimal Sensing for Opportunistic Spectrum Access in Cognitive Radio by Armi, Nasrullah, M Saad, M Naufal, Yusoff, Mohd Zuki, Arshad, Muhammad

    Published 2010
    “…Computer simulation is used to evaluate the performances both of optimal and sub optimal strategy.…”
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    Article
  3. 3

    A reinforcement learning-based energy-efficient spectrum-aware clustering algorithm for cognitive radio wireless sensor network by Mustapha, Ibrahim

    Published 2016
    “…Thirdly, a RL based cooperative channel sensing scheme where a clusterhead learns channels dynamic behaviours in terms of channel availability, channel sensing energy cost and channel impairment to achieve optimal sensing sequence and optimal set of channels. …”
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    Thesis
  4. 4

    Autonomous flight algorithm of a quadcopter sensing system for methane gas concentration measurements at landfill site by Bashi, Omar Ibrahim Dallal

    Published 2018
    “…So, this thesis experiments to ascertain the optimal surveying patterns and sensing parameters required to accurately sense methane gas clouds with minimal selfinduced air disturbance. …”
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    Thesis
  5. 5

    Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators by Abed I.A., Sahari K.S.M., Koh S.P., Tiong S.K., Jagadeesh P.

    Published 2023
    “…The movement and the configurations of the manipulators at the task points were visualized using a simulator developed via Visual Basic. …”
    Conference paper
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    Summary of best efficient algorithms on cognitive radio cooperative spectrum sensing to improve QoS by Akbari, M., Reza, A.W., Noordin, K.A., Manesh, M.R., Hindia, M.N.

    Published 2014
    “…In fact, all steps of genetic algorithm (GA), particle swarm optimization (PSO) and imperialistic competitive algorithm (ICA) will be well mentioned in details and investigated on cognitive radio cooperative spectrum sensing (CRCSS) method. …”
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    Conference or Workshop Item
  7. 7

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
    “…Moreover,this application will be using the programming language Visual Basic. Net applied in Visual Studio 2008.The methodology has chosen is rapid application development (RAD) where this method is the archive with apparel search requirement. …”
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    Undergraduates Project Papers
  8. 8

    A New Visual Public-Key Cryptosystem Based On Non-Expansion Technique And Boolean Operations by Jaafar, Abdullah Mohammed Abdo Ali

    Published 2011
    “…The basic design of visual cryptography exploits the human visual system, to recover secret images. …”
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    Thesis
  9. 9

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
    “…Moreover,this application will be using the programming language Visual Basic. Net applied in Visual Studio 2008.The methodology has chosen is rapid application development (RAD) where this method is the archive with apparel search requirement. …”
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    Undergraduates Project Papers
  10. 10

    Speech compression using compressive sensing on a multicore system by Gunawan, Teddy Surya, Khalifa, Othman Omran, Shafie, Amir Akramin, Ambikairajah, Eliathamby

    Published 2011
    “…All parameters will be optimized using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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    Proceeding Paper
  11. 11

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
    “…A user friendly GUI is developed using VISUAL BASIC to interface the user commands with the Robot controller. …”
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    Monograph
  12. 12

    Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension by Affandy

    Published 2015
    “…This model is then to be used in the prototype tool development that is called 3De-ALPROV (Design Development Debug – Algorithm Program Visualization). The efficacy evaluation of the prototype is based on pre- and post- test of the students’ programming performance. …”
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    Thesis
  13. 13

    Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

    Published 2024
    “…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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    Thesis
  14. 14

    Improvement of wiener filter based speech enhancement using compressive sensing by Sulong, Amart, Abdul Kadir, Kushsairy, Gunawan, Teddy Surya, Khalifa, Othman Omran

    Published 2014
    “…The objective measure will optimize using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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    Proceeding Paper
  15. 15

    Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks by Mohamedou, Ahmed, Sali, Aduwati, Mohd Ali, Borhanuddin

    Published 2012
    “…The second technique proposed by this paper is heuristic-based scheduling algorithm. This algorithm is used as supporting mechanism for the genetic FIS scheduler. …”
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    Conference or Workshop Item
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    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. In order to develop an intelligent agent, various programming techniques are used in achieving the property of self learning, information retrieval and searching algorithm. …”
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    Thesis
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    MAC Protocol for Opportunistic Spectrum Access in Cognitive Radio System by Armi, Nasrullah, M Saad, M Naufal, Yusoff, Mohd Zuki, Arshad, Muhammad

    Published 2011
    “…Computer simulation is used to evaluate the performances both of optimal and sub optimal strategy.…”
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    Conference or Workshop Item