Search Results - (( program visualization tree algorithm ) OR ( parameter notification based algorithm ))

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  1. 1
    Computer algorithm for playing checkers

    Computer algorithm for playing checkers by Chua Shin Lee

    Published 2023
    “…The Checkers game is programmed using Visual C++. Two players can play the game or against the computer The Al algorithm will select the best path to win when playing against the human. …”
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  2. 2
    Decision Tree: Customer churn analysis for a loyalty program using data mining algorithm

    Decision Tree: Customer churn analysis for a loyalty program using data mining algorithm by Lee, Angela Siew Hoong *, Zuraini Zainol, Ng, Claudia, Chan, Khin Whai

    Published 2019
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  3. 3
    Comparison Of Phylogenetic Trees Using Difference Distance Function Method

    Comparison Of Phylogenetic Trees Using Difference Distance Function Method by Maziah, Medin

    Published 2005
    “…The pre-processing is implemented using the Microsoft Visual C++. The phylogenetic tree is build using the PHYLlP (the PHYlogeny Inference Package), a package of programs for inferring phylogenies (evolutionary trees). …”
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    Final Year Project Report / IMRAD
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  4. 4
    Enhancement load balancing in failover web server by using HTTP-response status techniques with pfsense opensource / Muhammad Hafiz Ramli

    Enhancement load balancing in failover web server by using HTTP-response status techniques with pfsense opensource / Muhammad Hafiz Ramli by Ramli, Muhammad Hafiz

    Published 2020
    “…Increasing the number of failures causes the number of failures of successfulness rate in ICMP based and congestion in HTTP based monitoring. Meanwhile, an email notification was introduced in ICMP and HTTP based monitoring as a notification to the administrator when the failure occurs.…”
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  5. 5
    Enhancing understanding of programming concepts through physical games

    Enhancing understanding of programming concepts through physical games by Raja Yusof, Raja Jamilah, Habib, Ahsan

    Published 2017
    “…We produced in total 10 lesson games to illustrate variables, swapping, arrays, sorting algorithm particularly bubble sort, quicksort, selection sort, graph theory, dynamic programming, amortized analysis and trees. …”
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  6. 6
    Traffic monitoring system with emergency support using SOM

    Traffic monitoring system with emergency support using SOM by Tan, Hoai Thang

    Published 2020
    “…In the classification section, all the processed parameters are input into the classification algorithm to classify the groups to which the input parameters belong. …”
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    Final Year Project / Dissertation / Thesis
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  7. 7
    IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al]

    IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al] by Boudville, Rozan, Abdul Wahab, Afif Luqmanulhakim, Wan Zukenani, Wan Izzat Hakimi, Mohd Khelmy, Muhammad Adly Hisyam, Khiruddin, Nur Raihah

    Published 2025
    “…Notifications are issued through an LCD display, buzzer, and Telegram alerts, ensuring timely responses. …”
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  8. 8
    Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining

    Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining by Ang, Yuhao, Mohd Shafri, Helmi Zulhaidi, Al-Habshi, Mohammed Mustafa

    Published 2025
    “…No previous study has investigated Orange mining tool as visual programming approach in analysing hyperspectral reflectance data, especially in crop disease detection. …”
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  9. 9
    Incremental learning for large-scale stream data and its application to cybersecurity

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

    Published 2015
    “…In Chapter 2, we propose a new algorithm based on incremental Radial Basis Function Network (RBFN) to accelerate the learning in stream data. …”
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