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  1. 1
    Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan

    Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan by Hamrizan, Siti Fatimah Azzahra

    Published 2021
    “…The machine learning technique used to develop the prediction prototype is the KNN algorithm. …”
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    Thesis
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  2. 2
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  3. 3
    The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi

    The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi by Mohd Radzi, Mohamad Khairul Ikhwan

    Published 2017
    “…This algorithm is one of the algorithms used for getting the lowest cost search path. …”
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  4. 4
    A modification of Shamir's Three-Pass protocol by implementing one-time pad algorithm / Nur Khairunnisa' Kusman, Nurul Hanis Abd Rashid and An Nur Ameera Zamani

    A modification of Shamir's Three-Pass protocol by implementing one-time pad algorithm / Nur Khairunnisa' Kusman, Nurul Hanis Abd Rashid and An Nur Ameera Zamani by Kusman, Nur Khairunnisa', Abd Rashid, Nurul Hanis, Zamani, An Nur Ameera

    Published 2019
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  5. 5
    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT

    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…The other constraint is the student workload should be arranged less than three session in a row. …”
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  6. 6
    Automated essay grading system / Cheong Tau Pau

    Automated essay grading system / Cheong Tau Pau by Cheong, Tau Pau

    Published 2005
    “…The secondary objective is to compare the efficiency of the nearest neighbor algorithm and the vector space model. Reviews on system and algorithm are done to obtain more information about developing the system. …”
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  7. 7
    Examination timetabling using genetic algorithm case study: KUiTTHO

    Examination timetabling using genetic algorithm case study: KUiTTHO by Mohd Salikon, Mohd Zaki

    Published 2005
    “…The other constraint is the student workload should be arranged less than three exams in a row. …”
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  8. 8
    Neural Network Prediction of Suitability Course for Post PMR Students

    Neural Network Prediction of Suitability Course for Post PMR Students by Tuck, Looi

    Published 2003
    “…This study aims to develop a Neural Network Model for predicting suitability course for post PMR students. …”
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  9. 9
    The development of web-based supervisor-supervisee assigning system using rule-based algorithm

    The development of web-based supervisor-supervisee assigning system using rule-based algorithm by Yeoh, Chien Din

    Published 2017
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    Final Year Project Report / IMRAD
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  10. 10
    Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO

    Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO by Mohd. Zaki, Mohd. Salikon

    Published 2005
    “…The other constraint is the student workload should be arranged less than three exams in a row. …”
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  11. 11
    Hybrid BLEU Algorithm For Structured Exam Management System

    Hybrid BLEU Algorithm For Structured Exam Management System by Zulhana, Zulkifle

    Published 2008
    “…Nevertheless, they concluded that this system should be in bilingual in order to take into consideration of the students' proficiency in English language. …”
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  12. 12
    Algorithm animation for cryptanalysis of caesar and hill ciphers / Sapiee Haji Jamel and Giuseppina Sherry Sayan

    Algorithm animation for cryptanalysis of caesar and hill ciphers / Sapiee Haji Jamel and Giuseppina Sherry Sayan by Jamel, Shafie, Sayan, Giuseppina Sherry

    Published 2009
    “…However, in modern cryptography, the strength of each cryptographic algorithm should only rely on the secret key(s) used to ensure that there is no trap door embedded in the algorithm. …”
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  13. 13
    DSC762: Seminar and Industry Engagement / College of Computing, Informatics and Mathematics

    DSC762: Seminar and Industry Engagement / College of Computing, Informatics and Mathematics by UiTM, College of Computing, Informatics and Mathematics

    Published 2017
    “…The student and the supervisors should have an agreement on the work to be done by the student in advance; and then, develop the research proposal. …”
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  14. 14
    Automatic attendance system using face recognition with deep learning algorithm

    Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

    Published 2022
    “…The system consists of three parts: attendance system, student profile system, and training. First is the training stage where the student’s photo should be captured and stored in a separate folder. …”
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    Conference or Workshop Item
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  15. 15
    Automatic attendance system using face recognition with deep learning algorithm

    Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

    Published 2022
    “…The system consists of three parts: attendance system, student profile system, and training. First is the training stage where the student’s photo should be captured and stored in a separate folder. …”
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  16. 16
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  17. 17
    CSC739 - Special Topics (Computer Graphics and Multimedia Computing) / College of Computing, Informatics and Media

    CSC739 - Special Topics (Computer Graphics and Multimedia Computing) / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

    Published 2018
    “…The supervisor guides the student in the research process. The student and the supervisor should have an agreement on the work to be done by the student in advance; and then, develop the work over the semester. …”
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  18. 18
    CSC709 - Special Topic (Computational Sciences) / College of Computing, Informatics And Media

    CSC709 - Special Topic (Computational Sciences) / College of Computing, Informatics And Media by UiTM, College of Computing, Informatics And Media

    Published 2015
    “…The supervisor guides the student in the research process. The student and the supervisor should have an agreement on the work to be done by the student in advance; and then, develop the work over the semester. …”
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  19. 19
    CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media

    CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

    Published 2015
    “…The supervisor guides the student in the research process. The student and the supervisor should have an agreement on the work to be done by the student in advance; and then, develop the work over the semester. …”
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  20. 20
    CSC769: Special Topic (Security) / College of Computing, Informatics and Media

    CSC769: Special Topic (Security) / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

    Published 2015
    “…The supervisor guides the student in the research process. The student and the supervisor should have an agreement on the work to be done by the student in advance; and then, develop the work over the semester. …”
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