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  1. 1
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  2. 2
    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing

    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

    Published 2019
    “…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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  3. 3
    Energy efficient path reconstruction in wireless sensor network using iPath

    Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

    Published 2019
    “…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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  4. 4
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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  5. 5
    Mobile application for blood donation using geolocation and rule-based algorithm / Muhammad Firzan Azrai Nuzilan and Mohd Ali Mohd Isa

    Mobile application for blood donation using geolocation and rule-based algorithm / Muhammad Firzan Azrai Nuzilan and Mohd Ali Mohd Isa by Nuzilan, Muhammad Firzan Azrai, Mohd Isa, Mohd Ali

    Published 2021
    “…Iterative Waterfall model that consisting of requirement analysis, design, system development, testing, and documentation helped the process of developing the application effectively because it consists of step by step process. …”
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  6. 6
    In-silico works on control of blood glucose level for Type 1 Diabetes (T1D) using improved Hovorka equations and enhanced Model Predictive Control (eMPC): article

    In-silico works on control of blood glucose level for Type 1 Diabetes (T1D) using improved Hovorka equations and enhanced Model Predictive Control (eMPC): article by Mohd Maarof, Amar, Md Som, Ayub, Abdul Bari, Sheriff

    Published 2019
    “…The research on development of artificial pancreas is mainly focusing on the algorithm that will be programmed into controller system. …”
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  7. 7
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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  8. 8
    A comparative study of MPPT and voltage regulator controllers for controlling output voltage in PV applications

    A comparative study of MPPT and voltage regulator controllers for controlling output voltage in PV applications by Al-Mohammedawi, Ali Jber Mshkil

    Published 2019
    “…One flaw of this algorithm is that the system never stops at a fixed power point, rather it perturbs around the maximum power range. …”
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  9. 9
    Automated System for Detecting Cyber Bot Attacks in 5G Networks using Machine Learning

    Automated System for Detecting Cyber Bot Attacks in 5G Networks using Machine Learning by Thrupthi, C.P., Chitra, K., Harilakshmi, V.M.

    Published 2024
    “…However, the literature pays little attention to selection methods, which are crucial for developing effective machinelearning models.…”
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  10. 10
    An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab

    An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab by Bassam Ali Qasem, Al-Qatab

    Published 2020
    “…For the classification part, there are six algorithms used to classify the intra-severity of dysarthric speakers. …”
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  11. 11
    Automated visual defect detection using deep learning

    Automated visual defect detection using deep learning by Loh, Xiao

    Published 2022
    “…The main goal of this project is to study and develop various automated defect detection models by utilizing state-of-the-art deep learning segmentation algorithms, including U-Net, Double U-Net, SETR, TransU-Net, TransDAU-Net, CAM and SEAM to perform semantic segmentation in fully supervised and weakly supervised learning manners. …”
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  12. 12
    Smart attendance system with Iot based face recognition using deep learning approach

    Smart attendance system with Iot based face recognition using deep learning approach by Seah, You

    Published 2023
    “…In conclusion, the project’s aim and objectives were successfully accomplished, which included developing a facial recognition system designed specifically for attendance tracking and conducting a literature review covering current approaches and results in facial recognition algorithms. …”
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  13. 13
    Product design and development strategies for an automated Printed Circuit Board (PCB) defects detection systems

    Product design and development strategies for an automated Printed Circuit Board (PCB) defects detection systems by Kamaruddin, Shafie, Shamsulamri, Saiffaqrullah, Sharwazi, Muhammad Haziq Fakhri, Suhaimi, Muhammad Harith Ikhmal, Mohamad, Muhamad Ariff Othmani, Sukindar, Nor Aiman, Ahmad Azhar, Ahmad Zahirani

    Published 2024
    “…This approach provides a practical and economical solution for PCB defect detection, merging advanced object detection algorithms with accessible, cost-effective hardware. …”
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  14. 14
    Improving hand written digit recognition using hybrid feature selection algorithm

    Improving hand written digit recognition using hybrid feature selection algorithm by Wong, Khye Mun

    Published 2022
    “…Therefore, many researchers have applied and developed various machine learning algorithms that could efficiently tackle the handwritten digit recognition problem. …”
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  15. 15
    In-silico works on control of blood glucose level for Type 1 Diabetes (T1D) using improved Hovorka equations and enhanced Model Predictive Control (eMPC) / Amar Mohd Maarof

    In-silico works on control of blood glucose level for Type 1 Diabetes (T1D) using improved Hovorka equations and enhanced Model Predictive Control (eMPC) / Amar Mohd Maarof by Mohd Maarof, Amar

    Published 2019
    “…The research on development of artificial pancreas is mainly focusing on the algorithm that will be programmed into controller system. …”
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  16. 16
    An automated Printed Circuit Board (PCB) defects detection system

    An automated Printed Circuit Board (PCB) defects detection system by Kamaruddin, Shafie, Shamsulamri, Saiffaqrullah, Sharwazi, Muhammad Haziq Fakhri, Suhaimi, Muhammad Harith Ikhmal, Mohamad, Muhamad Ariff Othmani, Sukindar, Nor Aiman, Ahmad Azhar, Ahmad Zahirani

    Published 2025
    “…By combining advanced object detection algorithms with affordable hardware, this method offers a practical and cost-effective solution for PCB defect detection. …”
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  17. 17
    Detection of hemorrhage and exudates in retinal fundus image of diabetic patients

    Detection of hemorrhage and exudates in retinal fundus image of diabetic patients by Siti Sarah, Ahmad Mansor

    Published 2016
    “…This natural flaws of human being can affect the diagnosis and then causing false result analysis. …”
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    Undergraduates Project Papers
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  18. 18
    Online auto-tuned proportional-integral controller using particle swarm optimization for dual active bridge DC-DC converter

    Online auto-tuned proportional-integral controller using particle swarm optimization for dual active bridge DC-DC converter by Suliana, Ab Ghani

    Published 2021
    “…APSO-PI is an auto-tuned PI using the PSO algorithm where the optimal values of Kp and Kiwere tuned at the initial control process only. …”
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