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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    WEBCAM MOTION DETECTION USINGVISUAL BASIC

    WEBCAM MOTION DETECTION USINGVISUAL BASIC by Abdullah, Ilyana

    Published 2005
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    Final Year Project
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  3. 3
    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model

    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model by Sulaiman , Marizan, Adnan, Tawafan, Ibrahim, Zulkifilie

    Published 2013
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  4. 4
    Web Camera Application For Motion Detection

    Web Camera Application For Motion Detection by Koay, Su Yeong

    Published 2003
    “…There are many different ways to detect motion. The conventional way is by using either active sensor or passive sensor. …”
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  5. 5
    Retrieval based on skin color to detect the malicious images

    Retrieval based on skin color to detect the malicious images by Nooralisa Mohd Tuah, Nuraini Jamil, Dg. Senandong Ajor

    Published 2009
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    Research Report
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  6. 6
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…This improved algorithm, known as the edge-template Contour Delineation (etCD), is based on the fusion of edge detection with corner-template detection and dynamic thresholding to produce enhanced edge map. …”
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  7. 7
    On Clustering Algorithm Of Coverage Area Problems In Wireless Sensor Networks

    On Clustering Algorithm Of Coverage Area Problems In Wireless Sensor Networks by Ismail Abdullah, Kalid Abdlkader Marsal

    Published 2024
    “…This also proved to be the most complicated area for research, which was to detect the maximal total of active nodes or sleep, specifically the node scheduling part, its business with the WSN being to determine the optimal coverage area at which exist the most number of active nodes that manage connectivity and coverage. …”
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  8. 8
    Active contour model on digital mammograms using low-cost parallel computing systems

    Active contour model on digital mammograms using low-cost parallel computing systems by Ibrahim, Arsmah, Alias, Norma, Sulaiman, Hanifah, Yasiran, Siti Salmah

    Published 2009
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  9. 9
    Early detection of spots high water saturation for landslide prediction using thermal imaging analysis

    Early detection of spots high water saturation for landslide prediction using thermal imaging analysis by Ghazali, K. H., Mohd Falfazli, Mat Jusof, Muhammad, Badaruddin, Jadin, Mohd Shawal

    “…Hence, to solve this issue, this study investigates a new method to detect water saturation spots which is integrated with a thermal image camera to provide early detection of landslide. …”
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  10. 10
    The development of virtual product life cycle design tool using artificial intelligence technique

    The development of virtual product life cycle design tool using artificial intelligence technique by Harun, Habibollah, Ismail @ Ishak, Hasrul Haidar, Sukimin, Zuraini

    Published 2008
    “…The generated features from code classification algorithm give the information of machining parameter through the mapping algorithm. …”
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    Monograph
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  11. 11
    i-ManGoeS

    i-ManGoeS by Ahmad, Khairul Adilah, Abdul Malik, Anis Faradella

    Published 2017
    “…In this paper, an activity recognition system based on edge detection from a digital camera is presented. …”
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  12. 12
    Image Copy-Move Forgery Detection Algorithms Based on Spatial Feature Domain

    Image Copy-Move Forgery Detection Algorithms Based on Spatial Feature Domain by Ahmed I.T., Hammad B.T., Jamil N.

    Published 2023
    Conference Paper
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  13. 13
    Empirical study on intelligent android malware detection based on supervised machine learning

    Empirical study on intelligent android malware detection based on supervised machine learning by Abdullah, Talal A.A., Ali, Waleed, Abdulghafor, Rawad Abdulkhaleq Abdulmolla

    Published 2020
    “…In recent years, several Android malware applications were developed to perform certain illegitimate activities and harmful actions on mobile devices. In response, specific tools and anti-virus programs used conventional signature-based methods in order to detect such Android malware applications. …”
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  14. 14
    INDOOR LOCATION SENSING USING RADIO FREQUENCY NETWORK

    INDOOR LOCATION SENSING USING RADIO FREQUENCY NETWORK by Tan, Douglas

    Published 2007
    “…The benefit of this project is that it provides a foundation in the basic of locating objects in a closed area. The flowchart for the main program and hence, the programming of the calculations algorithm has been done and tested using user simulated digital control input. …”
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    Final Year Project
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  15. 15
    Optimal resource allocation for NOMA wireless networks

    Optimal resource allocation for NOMA wireless networks by Albogamy, Fahad R., Aiyashi, M. A., Hashim, Fazirul Hisyam, Imran Khan, Choi, Bong Jun

    Published 2022
    “…Multi-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information, and multi-user detection algorithms, such as successive interference cancellation (SIC), are performed at the receiving end to demodulate the necessary user signals. …”
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  16. 16
    Early detection of high water saturation spots for landslide prediction using thermal image analysis

    Early detection of high water saturation spots for landslide prediction using thermal image analysis by Aufa Huda, Muhammad Zin

    Published 2018
    “…Hence, to solve this issue, this study investigates a new method to detect water saturation spots which is integrated with a thermal image camera to provide early detection of landslide. …”
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  17. 17
    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition

    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

    Published 2004
    “…The RSNN provides a novel methodology for designing nonlinear filters without prior knowledge of the problem domain. The RNN was used to detect patterns present in satellite image. A novel feature extraction algorithm was developed to extract the feature vectors. …”
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  18. 18
    Nikon Inc. / Muhammad Hasif Anuar

    Nikon Inc. / Muhammad Hasif Anuar by Anuar, Muhammad Hasif

    Published 2022
    “…The Z 7’s autofocus algorithms is just not on the par with those of Nikon DSLRs. …”
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    Entrepreneurship Project
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  19. 19
    An innovative approach of blending security features in energy-efficient routing for a crowded network of wireless sensors

    An innovative approach of blending security features in energy-efficient routing for a crowded network of wireless sensors by Pathan, Al-Sakib Khan, Ahmed, Tarem

    Published 2014
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  20. 20
    Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Farid Misnan

    Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa... by Misnan, Mohamad Farid

    Published 2018
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