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  1. 1
    DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES

    DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES by HANIZAM, MOHD HAZIQ NAZMI

    Published 2019
    “…The deep-learning algorithm to be deployed is Faster R-CNN and to be implemented using MATLAB. …”
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  2. 2
    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python

    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python by Bhaskar, Hariyaran

    Published 2020
    “…The purpose of this thesis is to implement an algorithm for drone-based square boundaries using Python and OpenCV. …”
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  3. 3
    MelScan: An Android Application for Early Detection of Melanoma

    MelScan: An Android Application for Early Detection of Melanoma by Nyambang, Edwin

    Published 2014
    “…Due to time constraints, the scope of this study was narrowed to analyzing current image processing technology used in melanoma detection, especially on the Android mobile platform, developing an Android application that can use one of the image processing algorithms for melanoma detection, and to improve accuracy of melanoma detection, in particular during its early stages. …”
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  4. 4
    Microcrack Detection And Noise Reduction In Integrated Circuit Packages

    Microcrack Detection And Noise Reduction In Integrated Circuit Packages by Koh, Ye Sheng

    Published 2018
    “…Three algorithms are tested and evaluated in terms of microcrack detection and noise reduction which are probability based thresholding, histogram equalization, and modified Perona-Malik’s anisotropic diffusion methods. …”
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  5. 5
    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing

    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing by Goh, Kwang Yi

    Published 2023
    “…Q-Learning’s reward function assigns the highest value to the least frequently executed action without taking into consideration its potential ability in detecting failures. Furthermore, the proposed techniques based on the QLearning algorithm do not consider context-based actions. …”
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  6. 6
    LTE-based passive radar for ground target detection and tracking

    LTE-based passive radar for ground target detection and tracking by Salah, Asem Ahmad Mohamad

    Published 2015
    “…An effective tracking algorithm was proposed based on CFAR and Kalman filter to track the moving target in x-y plane precisely. …”
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  7. 7
    Simulation and Design of an Intelligent Mobile Robot for Fire Fighting

    Simulation and Design of an Intelligent Mobile Robot for Fire Fighting by Chor, Keong Seng

    Published 2003
    “…A method of Path Recognition Algorithms (PRA) providing robots the autonomous ability to judge purpose of action likes human base on the input sensors from the environment. …”
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  8. 8
    An Efficient Route Selection Based on AODV Algorithm for VANET

    An Efficient Route Selection Based on AODV Algorithm for VANET by Nassir Sallom , Kadhim, Mohammed, Muamer N., Mazlina, Abdul Majid, Sinan Q., Mohamd

    Published 2016
    “…Accident detection systems are one of the most effective (ITS) tools. …”
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  9. 9
    An Efficient Route Selection based on AODV Algorithm for VANET

    An Efficient Route Selection based on AODV Algorithm for VANET by Kadhim, Nassir, Mohammed, Muamer N., Mazlina, Abdul Majid, Mohamd, Sinan Q., Tao, Hai

    Published 2016
    “…Accident detection systems are one of the most effective (ITS) tools. …”
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  10. 10
    Real-time anomaly detection using clustering in big data technologies / Riyaz Ahamed Ariyaluran Habeeb

    Real-time anomaly detection using clustering in big data technologies / Riyaz Ahamed Ariyaluran Habeeb by Riyaz Ahamed , Ariyaluran Habeeb

    Published 2019
    “…Based on the outcome of the analysis, this research proposed a novel framework namely real-time anomaly detection based on big data technologies (RTADBDT), along with supporting implementation algorithms. …”
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  11. 11
    Autonomous person-following telepresence robot using monocular camera and deep learning YOLO

    Autonomous person-following telepresence robot using monocular camera and deep learning YOLO by Mat Lazim, Izzuddin, Sakri, Ahmad Amin Firdaus, Mauzi, Suffian At-Tsauri, Sahrim, Musab, Ramli, Liyana, Noordin, Aminurrashid

    Published 2024
    “…A pre-trained model using the MS COCO dataset is employed with YOLO for the person detection task. For robot movement control, a region-based controller is proposed to enable the robot to move based on the detected person's location in the image captured by the camera. …”
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  12. 12
    Analysing machine learning models to detect disaster events using social media

    Analysing machine learning models to detect disaster events using social media by Faris Azni Azlan, Mr.

    Published 2023
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  13. 13
    Autonomous Person-following Telepresence Robot Using Monocular Camera And Deep Learning Yolo

    Autonomous Person-following Telepresence Robot Using Monocular Camera And Deep Learning Yolo by Ahmad Amin Firdaus Sakri, Noor Hanis Izzuddin Mat Lazim, Suffian At-Tsauri Mauzi, Mus’ab Sahrim, Liyana Ramli, Aminurrashid Noordin

    Published 2024
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  14. 14
    Video image processing for traffic analysis

    Video image processing for traffic analysis by Che Puan, Othman

    Published 1992
    “…The suitability of the approach and detection algorithm was assessed by analysing a video tape containing a traffic scene for the measurement of vechicle movement. …”
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  15. 15
    Development of images segmentation using image thresholder and batch processing technique on the blood smears

    Development of images segmentation using image thresholder and batch processing technique on the blood smears by Al-Shoukry, Suhad, Zalili, Musa, Amer, Duha, Kareem, Safaa Muhsen

    Published 2022
    “…The goal is to explore options for a noniterative-based and automated system for detecting parasites in blood smears. …”
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  16. 16
    Real-Time Video Processing Using Native Programming on Android Platform

    Real-Time Video Processing Using Native Programming on Android Platform by Saipullah, Khairul Muzzammil

    Published 2012
    “…An application of the native programming for real-time object detection is also presented in this paper. …”
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  17. 17
    Development of image recognition system for steel defects detection

    Development of image recognition system for steel defects detection by Chen, Wai Yang

    Published 2022
    “…For the rusting detection algorithm, a deep learning model, Single Shot Detector (SSD), was trained to detect and crop the hot rolled steel from the input image for colour detection. …”
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  18. 18
    Real time traceability module for halal logistic transportation using GPS and geofence technique

    Real time traceability module for halal logistic transportation using GPS and geofence technique by Mohamad, Maizatul Akma

    Published 2016
    “…This study presents a merged traceability module of GPS tracking system technology with geofence algorithm, entitled the Halal tracer. The significance of Halal tracer traceability module is that it mainly benefits in providing automatic detection on the spatial activity undergone during the shipment process of the Halal goods. …”
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  19. 19
    Detection of sweetness level for fruits (watermelon) with machine learning

    Detection of sweetness level for fruits (watermelon) with machine learning by Wan Nazulan, Wan Nurul Suraya, Asnawi, Ani Liza, Mohd Ramli, Huda Adibah, Jusoh, Ahmad Zamani, Ibrahim, Siti Noorjannah, Mohamed Azmin, Nor Fadhillah

    Published 2020
    “…Then, each watermelon is grouped into Grade A (high level of sweetness), Grade B (medium level of sweetness), and Grade C (low level of sweetness) based on its color and shape detection results. …”
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  20. 20
    A New Method Of Speed Sensorless Control For Permanent Magnet Synchronous Motor

    A New Method Of Speed Sensorless Control For Permanent Magnet Synchronous Motor by Samat, Ahmad Asri Abd

    Published 2019
    “…A simulation using MATLAB/Simulink software is conducted to investigate the feasibility of the proposed algorithm. DSpace is deployed for algorithm implementation. …”
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