Search Results - (( _ application tools algorithm ) OR ( web applications ((acs algorithm) OR (means algorithm)) ))*

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    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This is where k-luster comes in. k-luster, the web application developed as a result of this project, implements the K-means and K-means++ algorithm along with ten proximity measures, seven of which are distance measures and whereas the remaining three are similarity measures. …”
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    Final Year Project / Dissertation / Thesis
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    Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan by Aznan, Muhammad Nur Syazwanie Aznan

    Published 2019
    “…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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    Thesis
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    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This project is developed by using Rapid Application Development methodology as it is the model that is most suitable for developing this web tools. …”
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    Thesis
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    Stock indicator scanner customization tool using deep reinforcement learning by Cheong, Desmond YongHong

    Published 2022
    “…This project will deliver a web application with dynamic stock prediction model based on deep reinforcement learning or more particularly, Deep Q-Network (DQN) algorithm which enable input customization. …”
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    Final Year Project / Dissertation / Thesis
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    Virtual GIS walkthrough Innovation Center / Mohd Sufean Abu Samah by Abu Samah, Mohd Sufean

    Published 1999
    “…By applying the virtual GIS tools, the necessary objects would be rendered. Once built, a user be able to move freely through out the building interactively this is what is mean by walkthrough. …”
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    Thesis
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    Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias by Alias, Annasuha Atie Atirah

    Published 2023
    “…Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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    Thesis
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    A modified π rough k-means algorithm for web page recommendation system by Zidane, Khaled Ali Othman

    Published 2018
    “…Web page recommendation system is an application of Web Usage Mining (WUM) approach, which specializes in predicting the user next browsing activity in real-time Web for personalized recommendations. …”
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    Thesis
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    The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning by Noor, Ubair, Hassan, Raini, Dwi Handayani, Dini Oktarina

    Published 2025
    “…The preliminary results using the K means Clustering Algorithm showed that the conceptual framework successfully grouped similar data points, facilitating the identification of skyline points. …”
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    Proceeding Paper
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    Lower Form Grade System (LF-Grade Sys) / Norhanisha Yusof ... [et al.] by Yusof, Norhanisha, A. Sanggar, Logineey, Kalidason, Tiivashkkar, Saravanan, Puvithra

    Published 2023
    “…Therefore, the objective of this study is to develop a Lower Form Grade System (LF-Grade Sys), which is a web-based application grading system that is designed to help teachers systematically record and store pupil grades. …”
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    Book Section
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    Steganography For Embedding Data In Digital Image by Sowan, Salah Ibrahem

    Published 2003
    “…In the design part, we present new data hiding algorithms for binary images, grayscale and color images, covering such applications as annotation, fingerprinting, and ownership protection.…”
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    Thesis
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    Big Data Mining Using K-Means and DBSCAN Clustering Techniques by Fawzia Omer, A., Mohammed, H.A., Awadallah, M.A., Khan, Z., Abrar, S.U., Shah, M.D.

    Published 2022
    “…The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
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    Article
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