Search Results - (( knowledge solving delay algorithm ) OR ( java application optimisation algorithm ))

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  1. 1

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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    Article
  2. 2

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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    Thesis
  3. 3

    Two-level QoS-oriented downlink packet schedulers in LTE networks: a review by Ferdosian, Nasim, Othman, Mohamed

    Published 2013
    “…The future direction for solving these problems will be stated. Overall this study summarises the current state of knowledge on the QoS-oriented scheduling algorithms for LTE networks.…”
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    Conference or Workshop Item
  4. 4

    Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller by Zaridah, Mat Zain

    Published 2010
    “…Fuzzy logic concept was first conceived by Lotfi Zadeh in 1965 by incorporating rule based approach to solve control problems. The advantage of Fuzzy Logic Controller (FLC) is that the control process can be controlled without knowing much knowledge of their dynamics. …”
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    Thesis
  5. 5

    Artificial intelligence in the construction industry / Nurul Najihah Mad Rosni by Mad Rosni, Nurul Najihah

    Published 2023
    “…Artificial intelligence (AI) is a subfield of computer science that enables machine to perceive and develop human-like inputs for perception, knowledge representation, reasoning, planning and problem solving, so they may cope with complex and fuzzy issues in a deliberate, intelligent and adaptive way. …”
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    Article
  6. 6

    Green machine learning approach for QoS improvement in cellular communications by Saeed, Mamoon M., Saeed, Rashid A., Azim, Mohammad Abdul, Ali, Elmustafa Sayed, Mokhtar, Rania A., Khalifa, Othman Omran

    Published 2022
    “…Artificial intelligent algorithms such as machine learning (ML) enable to detection of the dynamics in cellular networks by analyzing the complex cellular network processes and evaluating the spectrum and links qualities. …”
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    Proceeding Paper