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

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
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    Machine learning: tasks, modern day applications and challenges by Aljuaid, Lamyaa Zaed, Koh, Tieng Wei, Sharif, Khaironi Yatim

    Published 2019
    “…Thirdly, we related these developments with how they are affecting human societies with respect to their applications such as image classification, autonomous driving, and data fusion. …”
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    Article
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    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
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    Driver drowsiness detection using different classification algorithms by Nor Shahrudin, Nur Shahirah, Sidek, Khairul Azami

    Published 2020
    “…Hence, this paper present and prove the reliability of ECG signal for drowsiness detection in classifying high accuracy ECG data using different classification algorithms.…”
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    Proceeding Paper
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    Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN) by Yee, Lee Yin, Muhammad Aizzat, Zakaria

    Published 2022
    “…In this study, an improved classification algorithm using deep learning specifically convolutional neural network is used to detect the lane markers. …”
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    Conference or Workshop Item
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    Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

    Published 2025
    “…In order to overcome this problem, a classification model for intent recognition is developed. …”
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    Article
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    Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN) by Yee, Lee Yin, Muhammad Aizzat, Zakaria

    Published 2022
    “…In this study, an improved classification algorithm using deep learning specifically convolutional neural network is used to detect the lane markers. …”
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    Conference or Workshop Item
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    Advances in lane marking detection algorithms for all-weather conditions by Ab. Ghani, Hadhrami, Besar, Rosli, Md. Sani, Zamani, Kamaruddin, Mohd Nazeri, Syahali, Syabeela, Mohamed Daud, Atiqullah, Martin, Aerun

    Published 2021
    “…Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. …”
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    Article
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    An acquisition and a modulated recognition system for driver profiling in Malaysia / Ward Ahmed Alaulddin Al-Hussein by Ward Ahmed Alaulddin , Al-Hussein

    Published 2022
    “…The results have shown that CNN outperformed the other two classification algorithms in terms of accuracy, precision, recall, and f-measure and was therefore selected for a recognition system that, in combination with the acquisition system, would assist traffic police and insurance firms in detecting unsafe driving behaviors. …”
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    Thesis
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    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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    Thesis
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    ECG-based driving fatigue detection using heart rate variability analysis with mutual information by Halomoan, Junartho, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya, Salman, Muhammad

    Published 2023
    “…In this paper, we propose developments in the feature extraction and feature selection phases in the driving fatigue detection framework. …”
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    Article
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