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  1. 1
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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  2. 2
    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
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    Conference or Workshop Item
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  3. 3
    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil

    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil by Idris, Siti Aishah, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
    “…The model will be designed and developed using a deep learning algorithm, which is YOLOv8, the latest version of YOLO. …”
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    Article
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  4. 4
    Development of near real-time assessment system for cancer cells / Nahrizul Adib Kadri

    Development of near real-time assessment system for cancer cells / Nahrizul Adib Kadri by Nahrizul Adib, Kadri

    Published 2010
    “…This is achieved with the design and development of programmable, multiple output waveform generator using (capable of producing up to eight signal outputs, and extendable in multiples of four channels); improvement of planar microelectrode device design (capable to be energised individually); design and fabrication of the microfluidic gasket (better solution flow without localised cell collections), and design and development of alternative DEP image analysis algorithms (capable of handling near real-time DEP events data, and quantifying initial conditions for the light intensity). …”
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    Thesis
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