Search Results - (( developing effect flaws algorithm ) OR ( java application mining algorithm ))

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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  4. 4
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  5. 5
    A web-based implementation of k-means algorithms

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

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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  6. 6
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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    Citation Index Journal
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  7. 7
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  8. 8
    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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    Book Section
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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    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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  16. 16
    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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  17. 17
    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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    Student Project
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  18. 18
    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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    Proceeding Paper
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  19. 19
    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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  20. 20
    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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