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  1. 1
    Automated time series forecasting

    Automated time series forecasting by Ismail, Suzilah, Zakaria, Rohaiza, Tuan Muda, Tuan Zalizam

    Published 2011
    “…Moving Average, Decomposition, Exponential Smoothing, Time Series Regressions and ARIMA) were used.The algorithm was developed in JAVA using up to date forecasting process such as data partition, several error measures and rolling process.Successfully, the results of the algorithm tally with the results of SPSS and Excel.This automatic forecasting will not just benefit forecaster but also end users who do not have in depth knowledge about forecasting techniques.…”
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  2. 2
    The forecasting of poverty using the ensemble learning classification methods

    The forecasting of poverty using the ensemble learning classification methods by Zamzuri, Muhammad Haziq Adli, Nadilah, Sofian, Hassan, Raini

    Published 2023
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  3. 3
    A performance analysis of association rule mining algorithms

    A performance analysis of association rule mining algorithms by Fageeri, S.O., Ahmad, R., Alhussian, H.

    Published 2016
    “…In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. …”
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  4. 4
    Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model

    Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model by Salleh, Roselina, Shamsuddin, Siti Mariyam

    Published 2007
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  5. 5
    Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks

    Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks by Husni, Muhammed Ihsan

    Published 2018
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  6. 6
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…We hyave used the CPU profiler of Oracle JavaTM VisualVM to monitor the execution of LRE-TL as well as USG algorithms. …”
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  7. 7
    Improving earth surface temperature forecasting through the optimization of deep learning hyper-parameters using barnacles mating optimizer

    Improving earth surface temperature forecasting through the optimization of deep learning hyper-parameters using barnacles mating optimizer by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Muhammad 'Arif, Mohamad

    Published 2024
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  8. 8
    A comparative study between univariate and bivariate time series models for crude palm oil industry in peninsular Malaysia / Pauline Jin Wee Mah and Nur Nadhirah Nanyan

    A comparative study between univariate and bivariate time series models for crude palm oil industry in peninsular Malaysia / Pauline Jin Wee Mah and Nur Nadhirah Nanyan by Wee Mah, Pauline Jin, Nanyan, Nur Nadhirah

    Published 2020
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  9. 9
    Frequent patterns minning of stock data using hybrid clustering association algorithm

    Frequent patterns minning of stock data using hybrid clustering association algorithm by B., Baharudin, A., Khan, K., Khan

    Published 2009
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  10. 10
    Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory

    Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory by Abdulrazak Yahya, Saleh, Shahrulnizam, Medang, Ashraf, Osman Ibrahim

    Published 2020
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  11. 11
    Visdom: Smart guide robot for visually impaired people

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

    Published 2025
    “…An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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  12. 12
    Forecasting data with long multi-seasonal periods in the arima model using discrete fourier transform regressors

    Forecasting data with long multi-seasonal periods in the arima model using discrete fourier transform regressors by Yap, Yi Xian

    Published 2024
    “…From the results, MSTL-DFT-ARIMA approach outperforms TBATS in both forecast accuracy and computational efficiency. Hence, the integration of MSTL, DFT, and ARIMA provides a promising alternative for managing time series data with long multi-seasonal periods.…”
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  13. 13
    Forecasting data with long multi-seasonal periods in the arima model using discrete fourier transform regressors

    Forecasting data with long multi-seasonal periods in the arima model using discrete fourier transform regressors by Yap, Yi Xian

    Published 2024
    “…From the results, MSTL-DFT-ARIMA approach outperforms TBATS in both forecast accuracy and computational efficiency. Hence, the integration of MSTL, DFT, and ARIMA provides a promising alternative for managing time series data with long multi-seasonal periods.…”
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  14. 14
    Application of Evolutionary Algorithm for Assisted History Matching

    Application of Evolutionary Algorithm for Assisted History Matching by Zahari, Muhammad Izzat

    Published 2014
    “…Besides, algorithm based method has been widely used to forecast future result in various field for example art, biology, marketing including engineering. …”
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  15. 15
    Reported malicious codes incident within Malaysia’s landscape: Time series modelling and a timeline analysis

    Reported malicious codes incident within Malaysia’s landscape: Time series modelling and a timeline analysis by Md Azam, Muhammad Nadzmi, Ramli, Nor Azuana

    Published 2022
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  16. 16
    Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli

    Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli by Ahmad Kamaruddin, Saadi, Md. Ghani, Nor Azura, Mohamed Ramli, Norazan

    Published 2014
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  17. 17
    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin

    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin by Nasaruddin, Amir Hambaly

    Published 2019
    “…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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  18. 18
    Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure

    Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure by Ramasamy, Chitra, Zolkepli, Maslina

    Published 2019
    “…This study proposing an enhance bibliographic data retrieval and visualization using hybrid clustering method consists of K-harmonic mean (KHM) and Spectral Algorithm and eigenvector centrality measure. …”
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  19. 19
    Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin

    Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin by Mohd Yassin, Ahmad Ihsan

    Published 2014
    “…A MySQL database was created to analyze the optimization results and speed up computations of the optimization algorithm. The proposed optimization algorithm was tested on several benchmark datasets, namely the Direct Current Motor (DCM), Mackey-Glass Differential Equation (MG) and Flexible Robot Arm (FRA). …”
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  20. 20
    Comparison of fuzzy time series and Arima model for predicting stock prices / Nor Syazwina Mohd Hanafiah ... [et al.]

    Comparison of fuzzy time series and Arima model for predicting stock prices / Nor Syazwina Mohd Hanafiah ... [et al.] by Mohd Hanafiah, Nor Syazwina, Shafii, Nor Hayati, Fauzi, Nur Fatihah, Md Nasir, Diana Sirmayunie, Mohamad Nor, Nor Azriani

    Published 2022
    “…There are a wide range of forecasting algorithms, however, this study only focuses on these two techniques: Auto Regressive Moving Average (ARIMA) model and Fuzzy Time Series (FTS) Model. …”
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