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  1. 1
    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing

    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

    Published 2022
    “…The proposed AI algorithm integrates two deep learning models which are object detection algorithm and reinforcement learning. …”
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    Final Year Project / Dissertation / Thesis
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  2. 2
    Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield.

    Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield. by Md. Sap, Mohd. Noor, Awan, A. Majid

    Published 2005
    “…Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. …”
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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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    Proceeding Paper
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  4. 4
    A framework for predicting oil-palm yield from climate data

    A framework for predicting oil-palm yield from climate data by Awan, A. Majid, Md. Sap, Mohd. Noor

    Published 2006
    “…Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. …”
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    Conference or Workshop Item
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  5. 5
    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms

    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms by Lei, X., Mohamad, U.H., Sarlan, A., Shutaywi, M., Daradkeh, Y.I., Mohammed, H.O.

    Published 2022
    “…For the objective of classifying FI in terms of fraud or not, the Intelligent Information System for Financial Institutions (IISFI) relying on Supervised ML (SML) Algorithms has been created in this work. …”
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  6. 6
    A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation

    A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation by Hossen J., Sayeed S., Iqbal A.K.M.P.

    Published 2023
    “…Algorithms; Controllers; Fuzzy clustering; Fuzzy systems; Intelligent control; Intelligent systems; Learning algorithms; Least squares approximations; Membership functions; Mobile robots; Navigation; Robotics; Robots; Smart sensors; and ANFIS; Apriori algorithms; Fuzzy C mean; Gradient descent algorithms; Hybrid-fuzzy controllers; Mobile Robot Navigation; Subtractive clustering; Subtractive clustering algorithms; Clustering algorithms…”
    Conference Paper
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  7. 7
    Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm

    Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm by Khalifa, Othman Omran, Wajdi, Muhammad H., Saeed, Rashid A., Hassan Abdalla Hashim, Aisha, Ahmed, Muhammed Z., Ali, Elmustafa Sayed

    Published 2022
    “…Specifically, the paper utilized the YOLOv5s architecture coupled with k-means algorithm to perform anchor box optimization under different illumination levels. …”
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  8. 8
    Digital segmentation of skin diseases / Hadzli Hashim and Razali Abdul Hadi

    Digital segmentation of skin diseases / Hadzli Hashim and Razali Abdul Hadi by Hashim, Hadzli, Abdul Hadi, Razali

    Published 2004
    “…The experimental work involved clinical guttate lesion images where they are processed to produce the average Gaussian mean and standard deviation indices using the conventional algorithm. …”
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    Research Reports
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  9. 9
    Adaptive learning for lemmatization in morphology analysis

    Adaptive learning for lemmatization in morphology analysis by Ting, Mary, Abdul Kadir, Rabiah, Tengku Sembok, Tengku Mohd, Ahmad, Fatimah, Azman, Azreen

    Published 2014
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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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    Book Chapter
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  11. 11
    Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices

    Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices by Saadeldin, Abuelgasim, Rashid, Muhammad Mahbubur, Shafie, Amir Akramin, Hasan, Tahsin Fuad

    Published 2024
    “…Recently, there has been a significant increase in the use of deep learning and low-computing edge devices for analysis of video-based systems, particularly in the field of intelligent transportation systems (ITS). …”
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  12. 12
    An Improvement on Extended Kalman Filter for Neural Network Training

    An Improvement on Extended Kalman Filter for Neural Network Training by Tsan, Ken Yim

    Published 2005
    “…This study explored the training of a neural network inference system using the extended Kalman filter (EKF) learning algorithm. …”
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    Thesis
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  13. 13
    Durian Detection And Counting System Using Deep Learning

    Durian Detection And Counting System Using Deep Learning by Amir Hilmi Ahmad Azizi, Izzudin Mat Lazim, Azween Mohd Rozmi, Sharma Roa Balakhrisnan, Fauzan Abdullah Ashaiman, Mus’ab Sahrim, Wan Zakiah Wan Ismail, Juliza Jamaludin, Irneza Ismail

    Published 2024
    Article
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  14. 14
    Music Recommender System Using Machine Learning Content-Based Filtering Technique

    Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

    Published 2022
    “…Machine Learning is a form of Artificial Intelligence that will make systems to think like human being. …”
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    Undergraduates Project Papers
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  15. 15
    Design and development of latex mark visual detection system

    Design and development of latex mark visual detection system by Chong, Kai Zhe, Zakaria, Azrul Abidin, Mohamed, Hassan, Baharuddin, Mohd Zafri

    Published 2025
    “…With the 14 stages of algorithm development, including tagging and training, the YOLO v5 model achieved an average loss of 5.2% and mAP performance of 99.3% accuracy, achieving the AQL 2.5 standard with less than 15 pieces of false detection.…”
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  16. 16
    DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS

    DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS by FIRAS BASIM, ISMAIL ALNAIMI

    Published 2011
    “…The second intelligent monitoring system represents mergmg of genetic algorithms and artificial neural networks as a hybrid intelligent system. …”
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    Thesis
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  17. 17
    Real-time personal protective equipment compliance detection using you only look once

    Real-time personal protective equipment compliance detection using you only look once by Nurhanisah, Aminuddin, Nor Azuana, Ramli, Pratondo, Agus

    Published 2024
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  18. 18
    A Novel Path Prediction Strategy for Tracking Intelligent Travelers

    A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

    Published 2009
    “…A novel decision support system (DSS) is devised with the ability of learning decisional as well as kinematical behaviors of intelligent travelers. …”
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    Thesis
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  19. 19
    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. The system was trained on a primary dataset of 1,068 images, with 70% of the dataset used for training, 20% for testing and 10% for validation. …”
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  20. 20
    Designing a new model for worm response using security metrics

    Designing a new model for worm response using security metrics by Madihah Mohd Saudi, Taib B.M.

    Published 2024
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