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  1. 1
    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah

    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah by Airul Sharizli, Abdullah

    Published 2017
    “…One of the important criteria in CAWS is the criteria for system activation. Proper activation algorithm of the system will reduce the number of false alarms and collision by not presenting the warning too early or too late, but at the right time. …”
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    Thesis
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  2. 2
    Road Sign Detection and Recognition System for Real-Time Embedded Applications

    Road Sign Detection and Recognition System for Real-Time Embedded Applications by Md Sallah, Siti Sarah, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2011
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    Conference or Workshop Item
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  3. 3
    Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support

    Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support by Abdullah S., Ismail M., Ahmed A.N., Abdullah A.M.

    Published 2023
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  4. 4
    Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data

    Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data by Ong, Song Quan, Pradeep Isawasan, Ahmad Mohiddin Mohd Ngesom, Hanipah Shahar, As’malia Md Lasim, Gomesh Nair

    Published 2023
    “…Previous work has focused only on specific weather variables and algorithms, and there is still a need for a model that uses more variables and algorithms that have higher performance. …”
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  5. 5
    The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth

    The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth by Soh, Ann Ni, Puah, Chin Hong, Mohammad Affendy, Arip, Jong, Meng Chang

    Published 2024
    “…This indicator can be embedded within an early warning system to signify vulnerabilities in the Malaysian tourism market.…”
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  6. 6
    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column

    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column by Yann, H. H., Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

    Published 2003
    “…Identification of causes, consequences and suggested actions for each deviation assisted by Hazard and Operability Study (HAZOP) analysis are generated into rule-based algorithm. Forward chaining strategy is used to interpret the rule-based system. …”
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  7. 7
    Daily rainfall runoff modeling using artificial neural network for sungai Sarawak Kanan upper catchment

    Daily rainfall runoff modeling using artificial neural network for sungai Sarawak Kanan upper catchment by Ong, Khin Kiat.

    Published 2005
    “…Therefore this make this study useful for heavy rainfall predictions and thus a good tool for flood warning.…”
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    Final Year Project Report / IMRAD
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  8. 8
    Google the earth: what's next?

    Google the earth: what's next? by Mansor, Shattri

    Published 2010
    “…Some of the major research efforts include feature extraction from satellite imagery; spatial decision support system for oil spill detection, monitoring and contingency planning; fish forecasting; UAV-based remote imaging and natural disaster management and early warning systems for floods and landslides. …”
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    Inaugural Lecture
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  9. 9
    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
    “…Three classification algorithms were tested: Decision Tree, Naive Bayes, and Random Forest. …”
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    Student Project
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  10. 10
    Using satellite-measured relative humidity for prediction of Metisa plana’s population in oil palm plantations: a comparative assessment of regression and artificial neural network models

    Using satellite-measured relative humidity for prediction of Metisa plana’s population in oil palm plantations: a comparative assessment of regression and artificial neural network... by Ruslan, Siti Aisyah, Muharam, Farrah Melissa, Zulkafli, Zed, Omar, Dzolkhifli, Zambri, Muhammad Pilus

    Published 2019
    “…Considering the economic devastation that the pest could bring, an early warning system to predict its outbreak is crucial. …”
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