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  1. 1
    The performance of block decoding using Dorsch algorithm / Husna Abdul Rahman, Ros Shilawani S. Abdul Kadir and Farah Yasmin Abdul Rahman.

    The performance of block decoding using Dorsch algorithm / Husna Abdul Rahman, Ros Shilawani S. Abdul Kadir and Farah Yasmin Abdul Rahman. by Abdul Rahman, Husna, S. Abdul Kadir, Ros Shilawani, Abdul Rahman, Farah Yasmin

    Published 2007
    “…The demodulator does not tell the decoder how reliable this decision is. …”
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    Research Reports
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  2. 2
    Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar

    Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar by Abu Bakar, Nordin (Prof. Madya Dr.)

    Published 2012
    “…The learning process creates knowledge that guides a person to make the decisions. …”
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  3. 3
    An integration of AHP-ACO technique for social interaction and travel planning

    An integration of AHP-ACO technique for social interaction and travel planning by Peh, Perly Thai Ee

    Published 2016
    “…Besides that, improving the processing speed of the algorithm is also another challenge of this research. …”
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  4. 4
    Waste management using machine learning and deep learning algorithms

    Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

    Published 2020
    “…For our research we did the comparisons between three Machine Learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Decision Tree, and one Deep Learning algorithm called Convolutional Neural Network (CNN), to find the optimal algorithm that best fits for the waste classification solution. …”
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  5. 5
    Disparity between theory & practice beyond the worst-case competitive analysis

    Disparity between theory & practice beyond the worst-case competitive analysis by Iqbal, Javeria, Ahmad, Iftikhar, Shah, Asadullah

    Published 2019
    “…For instance, in case of forex, the online algorithm is presented daily exchange rates. The algorithm does not have knowledge about future exchange rates, and has to make an irreversible conversion decision on each day. …”
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    Proceeding Paper
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  6. 6
    Batch Scheduling Using Matrix Approach under Demand Fluctuation

    Batch Scheduling Using Matrix Approach under Demand Fluctuation by Tan, Melvin Zi Hern

    Published 2010
    “…One of the state-of-the-art scheduling approaches is the application of simplitied matrix modelling from sophisticated time algorithms. However, this method does not address the realistic scenario of fluctuating product demand from clients. …”
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  7. 7
    Synchronous-asynchronous simulated kalman filter algorithm with random switching

    Synchronous-asynchronous simulated kalman filter algorithm with random switching by Zuwairie, Ibrahim, Nor Azlina, Ab. Aziz, Marizan, Mubin, Norrima, Mokhtar

    Published 2020
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  8. 8
    Job Matching Mobile Application using Fuzzy Analytic Hierarchy Process (FAHP) / Mohammad Ashraf Jefrizin

    Job Matching Mobile Application using Fuzzy Analytic Hierarchy Process (FAHP) / Mohammad Ashraf Jefrizin by Jefrizin, Mohammad Ashraf

    Published 2017
    “…Conventionally, hiring process does not apply preferences such as criteria to choose the best candidate for the vacancies. …”
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  9. 9
    Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting

    Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting by Rosnalini, Mansor

    Published 2021
    “…Fuzzy time series (FTS) algorithm is able to overcome moving holiday electricity load demand (MH-ELD) forecasting problem, but the FTS algorithm lacks final model interpretation, less interpretability of fuzzy logical relationship strength, and does not provide a complete FTS forecasting process. …”
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  10. 10
    M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)

    M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589) by Mansor, Rosnalini, Mat Kasim, Maznah, Othman, Mahmod, Zaini, Bahtiar Jamili

    “…Even though fuzzy time series (FTS) algorithm is able to overcome moving holiday electricity load demand (MH-ELD) forecasting problem, the current FTS algorithm lacks final model interpretation, is less interpretability of fuzzy logical relationship strength, and does not provide a complete FTS forecasting process. …”
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    Monograph
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  11. 11
    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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  12. 12
    Image classification using two dimensional wavelet coefficients with parallel computing

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…In addition, this research does not require any pre-stored database to train the algorithm. …”
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  13. 13
    Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column

    Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column by Maan, Normah

    Published 2005
    “…The existing mass transfer model with constant boundary condition does not accurately represent the mass transfer process. …”
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  14. 14
    Supervisory fuzzy learning control for underwater target tracking

    Supervisory fuzzy learning control for underwater target tracking by Kia, Chua, Arshad, Mohd Rizal, Adom, Abd Hamid, Wilson, Philip A.

    Published 2009
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  15. 15
    Investigating the cognitive processes in solving management science problems

    Investigating the cognitive processes in solving management science problems by Cheng, Sheila, Siow, Heng Loke

    Published 2010
    “…Results of the study also found that approaches to solving well-structured and ill-structured problems influence the individual’s decision making outcomes. Arising from the findings, an algorithm has been proposed in an attempt to improve the cognitive processes of students in solving MS/OR problems as well as the quality of decision making. …”
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  16. 16
    Development of a wearable human fall detection system

    Development of a wearable human fall detection system by Chua, Kean Hong, Sai, Siong Jun, Chan, Chi Yen, Kamsani, Noor Ain, Che Soh, Azura, Raja Ahmad, Raja Mohd Kamil

    Published 2022
    “…In this study, an accelerometer and gyroscope sensors were installed in a wearable fall detector. A fall detection algorithm was developed using MATLAB. This algorithm will extract features from the signal sent by the sensors and conduct a series of decision-making and classification process to determine whether a fall has actually occurred. …”
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  17. 17
    Design and analysis of an early heart attack detection using openCV

    Design and analysis of an early heart attack detection using openCV by Muhammad Rafsanjani, Basri, Fahmi, Samsuri

    Published 2022
    “…Hyper-parameter tuning method also has been applied to see does the algorithm increase accuracy or not.…”
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  18. 18
    Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm

    Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm by Hossain Lipu M.S., Hannan M.A., Hussain A., Ansari S., Rahman S.A., Saad M.H.M., Muttaqi K.M.

    Published 2024
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  19. 19
    A new approach to derive buildings footprint from light detection and ranging data using rule-based learning techniques and decision tree

    A new approach to derive buildings footprint from light detection and ranging data using rule-based learning techniques and decision tree by Jifroudi, Hamidreza Maskani, Mansor, Shattri, Pradhan, Biswajeet, Abdul Halin, Alfian, Ahmad, Noordin, Abdullah, Ahmad Fikri

    Published 2022
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  20. 20
    Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries

    Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries by Hossain Lipu M.S., Hannan M.A., Hussain A., Ansari S., Ayob A., Saad M.H.M., Muttaqi K.M.

    Published 2023
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