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  1. 1
    Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid

    Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid by Khalid, Nurul Syafiqah

    Published 2020
    “…This study aimed to develop the automatic oil palm tree counting using remote sensed data and two different algorithms at Felda Pasoh. …”
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  2. 2
    Development of vehicle detection and counting system for traffic analysis using computer vision

    Development of vehicle detection and counting system for traffic analysis using computer vision by Saw, Kenny Wei Wen

    Published 2024
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    Final Year Project / Dissertation / Thesis
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  3. 3
    Novel chewing cycle approach for peak detection algorithm of chew count estimation

    Novel chewing cycle approach for peak detection algorithm of chew count estimation by Selamat, Nur Asmiza, Md Ali, Sawal Hamid, Ismail, Ahmad Ghadafi, Ahmad, Siti Anom, Minhad, Khairun Nisa'

    Published 2025
    “…As a result, there has been a growing interest among researchers in developing automated methods for estimating chew count. …”
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  4. 4
    Novel chewing cycle approach for peak detection algorithm of chew count estimation

    Novel chewing cycle approach for peak detection algorithm of chew count estimation by Selamat, Nur Asmiza, Md Ali, Sawal Hamid, Ismail, Ahmad Ghadafi, Ahmad, Siti Anom, Minhad, Khairun Nisa’

    Published 2025
    “…As a result, there has been a growing interest among researchers in developing automated methods for estimating chew count. …”
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  5. 5
    Pengesan lalu lintas dengan kaedah pemerosesan imej

    Pengesan lalu lintas dengan kaedah pemerosesan imej by Riza Atiq O.K.Rahmat, Kasmiran Jumari, Azmi Hassan, Hassan Basri

    Published 2001
    “…This study was conducted to develop efficient traffic detector using image-processing with a personal compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: Four algorithms were developed i. e. algorithm for traffic counting, algorithm for vehicle classification. algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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  6. 6
    A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection

    A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection by Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom, Sampe, Jahariah

    Published 2022
    “…First, the base of the algorithm is developed based on counting the peak of the chewing signal. …”
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  7. 7
    A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection

    A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection by Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom

    Published 2022
    “…First, the base of the algorithm is developed based on counting the peak of the chewing signal. …”
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  8. 8
    A four stage image processing algorithm for detecting and counting of bagworm, Metisa plana Walker (Lepidoptera: Psychidae)

    A four stage image processing algorithm for detecting and counting of bagworm, Metisa plana Walker (Lepidoptera: Psychidae) by Ahmad, Mohd Najib, Mohamed Shariff, Abdul Rashid, Aris, Ishak, Abdul Halin, Izhal

    Published 2021
    “…Through false color analysis, distinct differences in the pixel count based on the slope was observed for dead and live pupae at 630 nm and 940 nm, with the slopes recorded at 0.38 and 0.28, respectively. …”
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  9. 9
    AUTOMATED MALARIA PARASITE QUANTIFICATION OF THIN BLOOD SMEAR

    AUTOMATED MALARIA PARASITE QUANTIFICATION OF THIN BLOOD SMEAR by YEO, YEO SOCK CHUANG

    Published 2013
    “…Besides, this study aims to automatically classify the level of severity of PV infection based on the parasitemia counted. The algorithm is divided into two parts to detect the parasitemia. …”
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  10. 10
    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
    “…The system makes use of a custom-built vehicle detection algorithm based on the you only look once version 8 nano (YOLOv8n), combined with a deep association metric (DeepSORT) object tracking algorithm and an efficient vehicle counting method for accurate counting of vehicles in highway scenes. …”
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  11. 11
    Automated road traffic census using image processing technique

    Automated road traffic census using image processing technique by Ng,, Hooi Sin

    Published 2013
    “…Vehicles are counted when they passed through the defined lines and classified based on their dimension. …”
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    Final Year Project Report / IMRAD
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  12. 12
    Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin

    Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin by Md Azemin, Muhammad Fadhli

    Published 2018
    “…Before this, the conventional method counting vehicles is based on manually counting using a worker. …”
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    Student Project
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  13. 13
    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm

    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm by Alixson Polumpung, Kit Guan Lim, Min Keng Tan, Sitti Raehanah Muhamad Shaleh, Renee Ka Yin Chin, Kenneth Teo Tze Kin

    Published 2022
    “…First, dataset acquisition from digital microscope and manual labelling annotation divided by 60, 20 and 20 percent for training, validation and testing consecutively. Second, is to develop the deep learning algorithm based on YOLOv3. …”
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    Proceedings
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  14. 14
    Visual Crowd Counting System Using Deep Learning

    Visual Crowd Counting System Using Deep Learning by Mohd Wafi Nazrul Adam, Mohd Ridhwan Oxley Adam

    Published 2021
    “…This project is about developing a visual crowd counting system using deep learning. …”
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    Final Year Project / Dissertation / Thesis
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  15. 15
    Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis

    Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis by Mukhlis, Siti Farah Najwa

    Published 2017
    “…This project is about developing a Dam Haji game using A* search algorithm. …”
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  16. 16
    Fuzzy based technique for microchip lead inspection using machine vision

    Fuzzy based technique for microchip lead inspection using machine vision by Hawari, Yasser, Salami, Momoh Jimoh Emiyoka, Aburas, Abdurazzag Ali

    Published 2008
    “…This research develops a fuzzy based algorithm for microchip image lead Inspection. …”
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    Proceeding Paper
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  17. 17
    Unsupervised image segmentation for fish egg images

    Unsupervised image segmentation for fish egg images by Mohd Yusof, Nur Syazwani Izzati

    Published 2017
    “…Image segmentation is a main part in image processing based-fish egg counting. The success of the final counting process depends mainly on the performance of image segmentation. …”
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    Student Project
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  18. 18
    Solving ump examination timetabling problem using dynamic exploration step counting hill climbing algorithm

    Solving ump examination timetabling problem using dynamic exploration step counting hill climbing algorithm by Chang, Ling Shing

    Published 2022
    “…Then, the initial solution is improved using our enhanced algorithm called dynamic exploration step counting hill climbing (DESCHC). …”
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  19. 19
    Development of a cost efficient vision system for defects detection / Muhammad Zarif Kamarudin

    Development of a cost efficient vision system for defects detection / Muhammad Zarif Kamarudin by Kamarudin, Muhammad Zarif

    Published 2010
    “…This need to be done due to the fact that further improvement of this project will need the coding history on how the algorithm being developed thus documentation is the common practice in programming stage. …”
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    Monograph
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  20. 20
    Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition

    Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition by Yuri, Nur Fatin Izzati

    Published 2017
    “…In this project, the algorithm is developed based on four main algorithms which are the detection algorithm, the tracking algorithm, the preprocessing algorithm and the drowsiness signs analysis algorithm. …”
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