Search Results - (( basic location selection algorithm ) OR ( java application customization algorithm ))

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  1. 1

    Vision Based Calibration and Localization Technique for Video Sensor Networks by Mohamed Sharif, Sharif Amar Mohamed Sharif

    Published 2009
    “…The camera network is assumed randomly deployed. One a-priori selected node chooses to act as the core of the network and starts to locate some other two reference nodes. …”
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    Thesis
  2. 2
  3. 3

    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

    Published 2011
    “…A user-friendly Graphical User Interface (GUI) is developed using Microsoft Visual Basic software to load and display the algorithm under test and display the result. …”
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    Thesis
  4. 4

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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    Thesis
  5. 5

    Optimal planning and design of hybrid renewable energy system for rural healthcare facilities / Olatomiwa Lanre Joseph by Olatomiwa Lanre , Joseph

    Published 2016
    “…In this case, long-term meteorological data from six selected locations across the six climatic zones of Nigeria (Sokoto, Maiduguri, Jos, Iseyin, Enugu and Port-Harcourt) were first examined to determine the feasibility of utilizing the energy resources (solar and wind) to power a typical rural healthcare facilities at respective remote locations. …”
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    Thesis
  6. 6

    Performance enhancement of adaptive cluster formation and routing protocols in wireless networks by Khalaf, Osamah Ibrahem

    Published 2017
    “…An enhanced algorithm which is used to improve the video quality was proposed, namely, Effective Broadcast Control Routing algorithm (EBCRA). …”
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  7. 7

    Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021 by Ghazanfar, Latif, Faisal Yousif, Al Anezi, Dayang Nurfatimah, Awang Iskandar, Abul, Bashar, Jaafar, Alghazo

    Published 2022
    “…In addition, the review paper will facilitate researchers who are new to machine learning algorithms for brain tumor recognition to understand the basics of the field and pave the way for them to be able to contribute to this vital field of medical research. …”
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    Article
  8. 8

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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    Conference or Workshop Item
  9. 9

    Development of adaptive controlled natural gas transmission water bath heater using mathematical model / Amiruddin Amkaromi by Amkaromi, Amiruddin

    Published 2018
    “…An adaptive set point regulation algorithm and the model reference are prepared to work with Proportional Integral Derivative (PID) controller in basic Labview programming platform. …”
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    Thesis
  10. 10

    Comparative study of 3D reconstruction methods from 2D sequential images in sports by Azrulhizam Shapi’i, Pichak, Sanaz, Mohd Syazwan Baharuddin, Iida, Hiroyuki

    Published 2020
    “…Six recent methods were selected based on they focused on recovery fully automated system for estimating 3D human pose for 2D joint location. …”
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    Article
  11. 11

    Performance of micro gas turbine trigeneration system and photovoltaic hybrid based system in remote area applications by Mohamad Rizdwan, Rashid Chand

    Published 2020
    “…The system is analyzed based on the performances obtained from an application-based simulation. Whereby, a resort located on Tioman Island is selected as the demand site. …”
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    Thesis
  12. 12

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…In our method, we select data that are located in untrained or “not well-learned” region and discard data at trained or “well-learned” region. …”
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    Thesis