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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
    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…Specifically, each frame is modeled/represented as a regional adjacency graph (RAG). …”
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  9. 9
    Tracking of moving athlete from video sequences using fower pollination algorithm

    Tracking of moving athlete from video sequences using fower pollination algorithm by Ong, Pauline, Chong, Tang Keat, Ong, Kok Meng, Low, Ee Soong

    Published 2022
    “…Subsequently, the hue, saturation and value (HSV) histogram of the region within the search window is evaluated. In the consecutive frame, several potential positions of the athlete are identifed, and the Bhattacharyya distance between the HSV histogram of the athlete in the previous frame and the potential position in the current frame is calculated. …”
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  10. 10
    Assessment of proposed lateral resistance system used with framed structures

    Assessment of proposed lateral resistance system used with framed structures by Fateh, Amir

    Published 2016
    “…The specific finite element algorithms are developed and implemented in the finite element program code for the nonlinear analysis of RC framed buildings. …”
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  11. 11
    A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model

    A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model by Ouwabunmi, Babalola AbdulHafeez

    Published 2025
    “…This study presents the development and evaluation of a novel hybrid machine learning algorithm that integrates the strengths of Random Forest and Gradient Boosting models to enhance the prediction of smORFs. …”
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  12. 12
    Vibration Signal for Bearing Fault Detection using Random Forest

    Vibration Signal for Bearing Fault Detection using Random Forest by Abedin T., Koh S.P., Yaw C.T., Phing C.C., Tiong S.K., Tan J.D., Ali K., Kadirgama K., Benedict F.

    Published 2024
    “…Based on the chosen properties of an induction motor, a random forest (RF) classifier, a machine learning technique, is examined in this study for bearing failure detection. A time-varying actual dataset with four distinct bearing states was used to evaluate the suggested methodology. …”
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  13. 13
    Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network

    Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network by Abu-Khadrah, Ahmed Ismail Mohammad

    Published 2017
    “…The OPNET simulator and the mathematical model were used to evaluate the performance for the proposed algorithm. …”
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  14. 14
    Development of finite element model for soil-structure interaction

    Development of finite element model for soil-structure interaction by Shoaei, Mohammad Dalili

    Published 2014
    “…Nonlinear interactive analysis of an asymmetric frame in the current study showed 26% increase in the required volume of reinforced concrete for construction of the frame. …”
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  15. 15
    Passenger Counting With Face Detection

    Passenger Counting With Face Detection by Teoh, Han Wei

    Published 2020
    “…The performance of the passenger counting system is evaluated in terms of accuracy and frame per second (FPS). …”
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  16. 16
    HSV-template matching with MEESPSO algorithm for human tracking in a crowded environment

    HSV-template matching with MEESPSO algorithm for human tracking in a crowded environment by Nurul Izzatie Husna, Fauzi, Zalili, Musa

    Published 2024
    “…To address these issues, we introduced a new approach combining HSV-template matching with the MEESPSO algorithm. In this approach, HSV-template matching continuously detects the target object in sequence images, while the Midrange Exploration Exploitation Searching Particle Swarm Optimization (MEESPSO) algorithm searches for the target location in the frames. …”
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  17. 17
    Modified synchronous reference frame based shunt active power filter with fuzzy logic control pulse width modulation inverter

    Modified synchronous reference frame based shunt active power filter with fuzzy logic control pulse width modulation inverter by Musa, Suleiman, Mohd Radzi, Mohd Amran, Hizam, Hashim, Abdul Wahab, Noor Izzri, Hoon, Yap, Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2017
    “…In order to mitigate this power quality issue, the shunt active power filter (SAPF) has been widely applied and it is proven to be the best solution to current harmonics. This paper evaluates the performance of the modified synchronous reference frame extraction (MSRF) algorithm with fuzzy logic controller (FLC) based current control pulse width modulation (PWM) inverter of three-phase three-wire SAPF to mitigate current harmonics. …”
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  18. 18
    Vibration signal for bearing fault detection using random forest

    Vibration signal for bearing fault detection using random forest by Tarek, Abedin, Koh, Siaw Paw, Yaw, Chong Tak, Phing, Chen Chai, Tiong, Sieh Kiong, Tan, Jian Ding, Kharudin, Ali, Kadirgama, Kumaran, Benedict, Foo

    Published 2023
    “…Based on the chosen properties of an induction motor, a random forest (RF) classifier, a machine learning technique, is examined in this study for bearing failure detection. A time-varying actual dataset with four distinct bearing states was used to evaluate the suggested methodology. …”
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    Conference or Workshop Item
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  19. 19
    Time-domain harmonic extraction algorithms for three-level inverter-based shunt active power filter under steady-state and dynamic-state conditions-an evaluation study

    Time-domain harmonic extraction algorithms for three-level inverter-based shunt active power filter under steady-state and dynamic-state conditions-an evaluation study by Al-Ogaili A.S., Ramasamy A., Hoon Y., Verayiah R., Marsadek M., Juhana T., Rahmat N.A.

    Published 2023
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  20. 20
    Deep learning-based water segmentation for autonomous surface vessel

    Deep learning-based water segmentation for autonomous surface vessel by Mohd Adam, Muhammad Ammar, Ibrahim, Ahmad Imran, Zainal Abidin, Zulkifli, Mohd Zaki, Hasan Firdaus

    Published 2020
    “…Classical computer vision algorithms for detection holds limitation in robustness and scalability. …”
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    Proceeding Paper
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