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  1. 1
    New Approach for E-Commerce Stock Prices Prediction : Combination of Machine Learning and Technical Analysis

    New Approach for E-Commerce Stock Prices Prediction : Combination of Machine Learning and Technical Analysis by Kelvin Lee, Yong Ming, Mohamad, Jais, Pick Soon, Lee

    Published 2022
    “…The signals emitted by the technical indicators are used as the features for two machine learning algorithms in predicting the stocks movements. …”
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  2. 2
    Stock indicator scanner customization tool

    Stock indicator scanner customization tool by Cheah, Shing Dhee

    Published 2022
    “…Analysing historical prices to make stock prediction is a traditional approach called technical analysis. …”
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    Final Year Project / Dissertation / Thesis
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  3. 3
    The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Malaysia.

    The development of an algorithm and a model through image processing and remote sensing techniques for assessing environmental impacts of routine carbon footprint in Peninsular Mal... by Mat Jafri, Mohd. Zubir

    Published 2015
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    Monograph
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  4. 4
    Financial time series predicting using machine learning algorithms

    Financial time series predicting using machine learning algorithms by Tiong, Leslie Ching Ow *

    Published 2013
    “…Subsequently, Dynamic Time Warping (DTW) algorithm is utilised through brute force to predict the trend movement. …”
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    Thesis
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  5. 5
    A quick gbest guided artificial bee colony algorithm for stock market prices prediction

    A quick gbest guided artificial bee colony algorithm for stock market prices prediction by Shah, Habib, Tairan, Nasser, Garg, Harish, Ghazali, Rozaida

    Published 2018
    “…From the simulation findings, the proposed QGGABC-FFNN outperformed compared with other typical computational algorithms for prediction of SSM values.…”
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  6. 6
    Development of Technical Safety Dashboard Using Microsoft Power BI Integration with R

    Development of Technical Safety Dashboard Using Microsoft Power BI Integration with R by Mohd Shamim, Nur Farisha Shuhada

    Published 2020
    “…In this paper, all researches and results of this project development completely documented.…”
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    Final Year Project
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  7. 7
    Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023

    Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023 by Soomro, Anam, Zakariyah, Habeebullah, Aftab, S.M.A., Muflehi, Mohamad, Shah, Asadullah, Meraj, Syeda

    Published 2024
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  8. 8
    A framework for the development of an optimized artificial intelligence model for diabetes mellitus prediction and treatment recommendation

    A framework for the development of an optimized artificial intelligence model for diabetes mellitus prediction and treatment recommendation by Islam, Md Ziarul, Hassan, Mohd Khairul Azmi, Amir Hussin, Amir 'Aatieff

    Published 2024
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    Book Chapter
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  9. 9
    Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman

    Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman by Mohd Azman, Muhammad Qayyum

    Published 2024
    “…This research process serves as a blueprint for developing advanced technical solutions that aid authorities and healthcare professionals in optimal resource management during emergency situations.…”
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  10. 10
    Random forest algorithm for co2 water alternating gas incremental recovery factor prediction

    Random forest algorithm for co2 water alternating gas incremental recovery factor prediction by Belazreg, L., Mahmood, S.M., Aulia, A.

    Published 2020
    “…The aim of this paper is using an ensemble machine learning algorithm to develop a WAG incremental recovery factor predictive model that can be used by reservoir engineers to estimate WAG incremental recovery factor prior kick-off of laboratory experiments and comprehensive technical studies. …”
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  11. 11
    Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE

    Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE by Abbas Alhadeethy, Najwa Fadhil, Khedher, Akram M Z M, Shah, Asadullah

    Published 2012
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  12. 12
    Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman

    Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman by Sulaiman, Shahril Irwan

    Published 2012
    “…Initially, two intuitive-based sizing algorithms for GCPV system design, termed as Conventional Sizing Algorithm (CSA), were developed based on two design goals. …”
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    Book Section
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  13. 13
    Performance analysis of hybrid renewable energy systems used for rural electrification in Malaysia / Laith Mahmoud Mohammad Halabi

    Performance analysis of hybrid renewable energy systems used for rural electrification in Malaysia / Laith Mahmoud Mohammad Halabi by Laith Mahmoud, Mohammad Halabi

    Published 2017
    “…The analysis examined the performance based on technical, economic and environmental aspects. Furthermore, the development of solar radiation prediction algorithms in addition to integrating a flexible hybrid renewable energy design are presented. …”
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    Thesis
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  14. 14
    Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network

    Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network by Aziz, N., Abdullah, M.H.A., Zaidi, A.N.

    Published 2020
    “…The result obtained from the model shows a promising prediction capability of the RNN-LSTM algorithm for predicting crude oil price movement. …”
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    Conference or Workshop Item
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  15. 15
    Decision Support Approach to Computerize Maintenance Management System: Development and Implementation in Food Processing Industry

    Decision Support Approach to Computerize Maintenance Management System: Development and Implementation in Food Processing Industry by M.A., Burhanuddin, A.R., Ahmad, M.I., Desa, M.Y., Zeratul

    Published 2008
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  16. 16
    DNA enhancer prediction using machine learning techniques with novel feature representation

    DNA enhancer prediction using machine learning techniques with novel feature representation by Fong, Pui Kwan

    Published 2016
    “…Technical contributions of this study are: 1) complex tree-feature modelling using genetic algorithm (CTreeGA): Automated feature generation framework to capture patterns of interactions among short DNA segments in histone sequences.…”
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  17. 17
    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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  18. 18
    Flood prediction model for Kuala Terengganu area using predictive analytics

    Flood prediction model for Kuala Terengganu area using predictive analytics by Mohd Zamri, Najwa An-Nisa

    Published 2025
    “…To address these challenges, this project developed a localized flood prediction model using predictive analytics and presented the results through an interactive dashboard to support early warning and decision-making. …”
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    Student Project
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  19. 19
    Pemodelan data indeks komposit Kuala Lumpur menggunakan neurofuzzy

    Pemodelan data indeks komposit Kuala Lumpur menggunakan neurofuzzy by Mohd. Yunos, Zuriahati

    Published 2006
    “…There are many conventional techniques being used as a tool to predict the behaviour of the stock market, and these include technical and fundamental analysis. …”
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  20. 20
    Effort Estimation Model for Function Point Measurement

    Effort Estimation Model for Function Point Measurement by Koh, Tieng Wei

    Published 2007
    “…The COCOMO, an algorithmic model is one example. Although it is hard to predict the exact size especially in terms of lines of code (LOC) of the project at the early stage, the COCOMO model takes LOC as an input to compute the project’s effort. …”
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