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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
    Developing and validating a simulation model for counting and classification of vehicles

    Developing and validating a simulation model for counting and classification of vehicles by Ali Emad Jehad, Riza Atiq O.K. Rahmat

    Published 2016
    “…The results show that the algorithm is capable of counting 95% of the vehicles due to some shaking in the video feed. …”
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  3. 3
    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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  4. 4
    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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  5. 5
    Development of automatic pest sampling and detection system for cash crops

    Development of automatic pest sampling and detection system for cash crops by Hadi, Mustafa Kareem

    Published 2019
    “…Connected components algorithm was implemented for insect detection and counting. …”
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  6. 6
    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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  7. 7
    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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  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
    “…Due to this, monitoring and detecting of bagworm populations in oil palm plantations is required as the preliminary steps to ensure proper planning of control actions in these areas. Hence, the development of an image processing algorithm for detection and counting of Metisa plana Walker, a species of Malaysia’s local bagworm, using image segmentation has been researched and completed. …”
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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
    “…Till date, it is more prevalent for researchers to focus on using a thick blood smear in counting the parasitemia. This study aims to develop an algorithm which is able to do counting parasitemia with thin blood smear that can help in integrating both detecting types and counting of parasites with just a thin blood smear. …”
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  10. 10
    Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video

    Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video by Kueh , Chiung Lin

    Published 2015
    “…Simple tracking and counting algorithm is used to track and count the detected vehicle. …”
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  11. 11
    Parameter-driven count time series models / Nawwal Ahmad Bukhari

    Parameter-driven count time series models / Nawwal Ahmad Bukhari by Nawwal , Ahmad Bukhari

    Published 2018
    “…In this study, a parameter-driven count time series model with three different distributions that are Poisson, zero-inflated Poisson and negative binomial was developed. …”
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  12. 12
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  13. 13
    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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  14. 14
    Automated road traffic census using image processing technique

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

    Published 2013
    “…The third phase is vehicle counting and classification stage. In this phase, information of bounding box such as center point, width and height of the identified vehicles are used in implementing the counting and classification algorithm. …”
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    Final Year Project Report / IMRAD
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  15. 15
    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
    “…With a view to improvement, it is proposed to develop a unique algorithm for vehicle classification and counting using Gaussian Mixture Model (GMM) and blob analysis method. …”
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  16. 16
    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
    “…Currently, the traditional method of counting small-sized rotifers still involves counting it manually. …”
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    Proceedings
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  17. 17
    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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  18. 18
    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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  19. 19
    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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  20. 20
    Development of an automated multidirectional pest sampling detection system using motorized sticky traps

    Development of an automated multidirectional pest sampling detection system using motorized sticky traps by Hadi, Mustafa Kareem, Mohd Kassim, Muhamad Saufi, Wayayok, Aimrun

    Published 2021
    “…Different kernel functions, such as disk, diamond, square, and sphere, were used as matching functions for the insect detection and counting algorithm. The average accuracy of the highest sphere kernel was 85.2%. …”
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