Search Results - (( developing theme visualization algorithm ) OR ( java visualization clustering algorithm ))

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  1. 1

    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
    “…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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    Conference or Workshop Item
  2. 2

    Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure by Ramasamy, Chitra, Zolkepli, Maslina

    Published 2019
    “…This study proposing an enhance bibliographic data retrieval and visualization using hybrid clustering method consists of K-harmonic mean (KHM) and Spectral Algorithm and eigenvector centrality measure. …”
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    Article
  3. 3

    Evaluating the usability of a Quranic theme extraction and visualization system using task-based usability testing by Azuan, Alya Maisarah

    Published 2025
    “…This study presents a task-based usability evaluation of a Quranic Theme Extraction and Visualization System, which integrates Natural Language Processing (NLP) techniques which are RAKE algorithm for keyword extraction and DistilBERT for theme classification. …”
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    Article
  4. 4

    Secured electrocardiograph (ECG) signal using fully homomorphic encryption technique by Shaikh, Muhammad Umair, Ahmad, Siti Anom, Wan Adnan, Wan Azizun

    Published 2020
    “…For the digital signal processing on ECG, QRS complex method will be used to display heart rate (HR) because it is the most visually obvious part of the ECG tracing and it is easy to encrypt the visual part in ECG tracing. …”
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    Article
  5. 5

    Analyzing customer reviews for ARBA Travel using sentiment analysis by Abdullah, Nurulain

    Published 2025
    “…Key phrases are extracted from 400 customer reviews on Google Reviews and 300 from Facebook to reveal common themes in customer experiences. Data visualization techniques are used to present trends, such as the frequency of positive and negative reviews over time and the most commonly mentioned aspects of ARBA Travel's services. …”
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    Student Project