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  1. 1
    Intelligent traffic lights using Q-learning

    Intelligent traffic lights using Q-learning by Mohd Yusop, Muhammad Aminuddin, Mansor, Hasmah, Gunawan, Teddy Surya, Nasir, Haidawati,

    Published 2022
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  2. 2
    Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm

    Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm by Beg, Mohammad Sojon, Muhammad Yusri, Ismail, Miah, M. Saef Ullah

    Published 2024
    “…The model utilises the YOLO V8 deep learning algorithm in the Google Colab environment and is trained using a custom dataset managed by the Roboflow dataset manager. …”
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  3. 3
    Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm

    Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm by Sophian, Ali, Azmi, Nur Hanisah, Bawono, Ali Aryo

    Published 2021
    “…In this work, preliminary study of the implementation of one of the latest deep learning algorithms, i.e. YOLOv5, has been carried out in the detection and classification of missing road lane markings. …”
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  4. 4
    Active force control with iterative learning control algorithm for a vehicle suspension

    Active force control with iterative learning control algorithm for a vehicle suspension by Rosmazi, Rosli

    Published 2013
    “…The research focuses on the application of an active force control (AFC) strategy with iterative learning control (ILC) algorithms to compensate for the various introduced road profiles or 'disturbances' in a quarter car suspension system as an improvement to ride comfort performance. …”
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  5. 5
    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques

    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques by Mohammad Syawaludin Syafiq, Hassan

    Published 2016
    “…It does not have an intelligent sensor to self-learn the road conditions and number of vehicles so that the controller will react based on the traffic information at a particular intersection. …”
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  6. 6
    Modeling of road geometry and traffic accidents by hierarchical object-based and deep learning methods using laser scanning data

    Modeling of road geometry and traffic accidents by hierarchical object-based and deep learning methods using laser scanning data by Sameen, Maher Ibrahim

    Published 2018
    “…Road traffic accidents are global concerns since they affect human life, economy, and road transportation systems. …”
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  7. 7
    Lane detection in autonomous vehicles : A systematic review

    Lane detection in autonomous vehicles : A systematic review by Noor Jannah, Zakaria, Mohd Ibrahim, Shapiai, Rasli, Abd Ghani, Mohd Najib, Mohd Yassin, Mohd Zamri, Ibrahim, Nurbaiti, Wahid

    Published 2023
    “…Recent advancements imply that attention mechanism has become a popular combined strategy with deep learning methods. The use of deep algorithms in conjunction with other techniques showed promising outcomes. …”
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  8. 8
    Enhancing Driving Assistance System with YOLO V8-Based Normal Visual Camera Sensor

    Enhancing Driving Assistance System with YOLO V8-Based Normal Visual Camera Sensor by Beg, Mohammad Sojon, Muhammad Yusri, Ismail, Miah, Md Saef Ullah, Mohamad Heerwan, Peeie

    Published 2023
    “…The video was taken through a direct camera to capture video footage of traffic objects on the roads in the district, which was then analysed using the YOLO-V8 deep learning algorithm. …”
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  9. 9
    Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN)

    Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN) by Yee, Lee Yin, Muhammad Aizzat, Zakaria

    Published 2022
    “…To predict the lane markers on road pavement correctly, a robust lane classification system using deep learning approach requires guidance so that it can detect significantly. …”
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  10. 10
    Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN)

    Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN) by Yee, Lee Yin, Muhammad Aizzat, Zakaria

    Published 2022
    “…To predict the lane markers on road pavement correctly, a robust lane classification system using deep learning approach requires guidance so that it can detect significantly. …”
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  11. 11
    Secure payment parking system (SPS) with Excel database software / Syed Luqman Putra Syed Putra Zainol Alam

    Secure payment parking system (SPS) with Excel database software / Syed Luqman Putra Syed Putra Zainol Alam by Syed Putra Zainol Alam, Syed Luqman Putra

    Published 2024
    “…Future recommendations may involve expanding the system to include additional payment options, integrating with smart city infrastructure, and incorporating machine learning algorithms for predictive parking availability.…”
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  12. 12
    4D : A real-time driver drowsiness detector using deep learning

    4D : A real-time driver drowsiness detector using deep learning by Jahan, Israt, Uddin, K. M. Aslam, Murad, Saydul Akbar, Miah, Md Saef Ullah, Khan, Tanvir Zaman, Masud, Mehedi, Aljahdali, Sultan, Bairagi, Anupam Kumar

    Published 2023
    “…This paper explains how to create a complete drowsiness detection system that predicts the state of a driver’s eyes to further determine the driver’s drowsy state and alerts the driver before any severe threats to road safety.…”
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  13. 13
    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)

    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) by Ganasan, Shatiskumar, Norazlianie, Sazali

    Published 2024
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  14. 14
    Pothole detection using UAV with deep learning algorithm for road inspection

    Pothole detection using UAV with deep learning algorithm for road inspection by Abdul Sukor, Nur Sabrina Irwayu, Hashim, Khairil Afendy, Dahlan, Zaki Ahmad

    Published 2024
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  15. 15
    Potholes detection using UAV with deep learning algorithm for road inspection / Nur Sabrina Irwayu Abdul Sukor

    Potholes detection using UAV with deep learning algorithm for road inspection / Nur Sabrina Irwayu Abdul Sukor by Abdul Sukor, Nur Sabrina Irwayu

    Published 2024
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  16. 16
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  17. 17
    An efficient attack detection for Intrusion Detection System (IDS) in internet of medical things smart environment with deep learning algorithm

    An efficient attack detection for Intrusion Detection System (IDS) in internet of medical things smart environment with deep learning algorithm by Abdulkareem, Fatimah Saleem, Mohd Sani, Nor Fazlida

    Published 2023
    “…Therefore, an intrusion detection method for attacking and detecting anomalies in an IoT system must be enhanced. To achieve this, we measured the performance of three deep learning algorithms for normal and abnormal detection of IDS, and a comparison was made to select the best performance of the deep learning algorithm for detection in IDS, such as RNN, DBN and CNN. …”
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  18. 18
    Hybrid Intelligent Warning System for Boiler tube Leak Trips

    Hybrid Intelligent Warning System for Boiler tube Leak Trips by Singh D., Ismail F.B., Shakir Nasif M.

    Published 2023
    “…Artificial intelligence; Boilers; Coal; Fossil fuel power plants; Genetic algorithms; Intelligent systems; Learning systems; Neural networks; Thermoelectric power plants; Artificial intelligent; Coal-fired power plant; Detection and diagnosis; Extreme learning machine; Hybrid intelligent system; Reliable monitoring systems; Thermal power plants; Training algorithms; Monitoring…”
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  19. 19
    A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification

    A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification by Sa'ad, Mohamad Iqbal

    Published 2006
    “…The comparison made showed that LM learning algortihm is a faster training algorithm compared to BR training algorithm meanwhile BR learning algorithm capable of building a superior intelligent system in term of the overall system performance.…”
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  20. 20
    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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