Search Results - object ((((electron algorithm) OR (selection algorithm))) OR (detection algorithm))

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  1. 1
    Edge Detection Algorithm For Image Processing Of Search And Rescue Robot

    Edge Detection Algorithm For Image Processing Of Search And Rescue Robot by A/L Sivem, Prasanthran

    Published 2016
    “…Subsequently, Canny edge detection algorithm is selected as an efficient algorithm based on the comparison made and it is further used in this project. …”
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  2. 2
    The fusion of edge detection and mathematical morphology algorithm for shape boundary recognition

    The fusion of edge detection and mathematical morphology algorithm for shape boundary recognition by Othman, Mahmod, Syed Abdullah, Sharifah Lailee, Ahmad, Khairul Adilah, Abu Bakar, Mohd Nazari, Mansor, Ab Razak

    Published 2016
    “…To address this problem, this paper proposes a fusion of selected edge detection algorithms with mathematical morphology to enhance the ability to detect the object shape boundary. …”
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  3. 3
    Integrating genetic algorithms and fuzzy c-means for anomaly detection

    Integrating genetic algorithms and fuzzy c-means for anomaly detection by Chimphlee, Witcha, Abdullah, Abdul Hanan, Sap, Noor Md., Chimphlee, Siriporn, Srinoy, Surat

    Published 2005
    “…Clustering-based intrusion detection algorithm which trains on unlabeled data in order to detect new intrusions. …”
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  4. 4
    Maldroid- attribute selection analysis for malware classification

    Maldroid- attribute selection analysis for malware classification by Rahiwan Nazar, Romli, Mohamad Fadli, Zolkipli, Mohd Zamri, Osman

    Published 2019
    “…Moreover, in order to get the best combination between attribute selection and classification algorithm, eight attributes selection and seven categories machine learning algorithm are applied in this study. …”
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  5. 5
    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
    “…Therefore, this research has developed an improved edge detection and contour segmentation algorithm that is able to correctly segment various objects from both indoor and outdoor images. …”
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  6. 6
    Weed recognition based on erosion and dilation segmentation algorithm

    Weed recognition based on erosion and dilation segmentation algorithm by S., Sulaiman, M.H., Siddiqi, I., Ahmad

    Published 2009
    “…This algorithm can detect weeds and also classify it. Currently the algorithm is tested on two types of weeds i.e. broad and narrow. …”
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  7. 7
    Image classification using two dimensional wavelet coefficients with parallel computing

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…Furthermore, colour threshold analysis and edge detection algorithms are redesigned exclusively to refine the two-dimensional coefficients into a more meaningful low-level representation. …”
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  8. 8
    Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm

    Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm by Talib, Nihad Hasan

    Published 2020
    “…The Gradient-Based Cuckoo Search (GBCS) algorithm was used to achieve the final objective. …”
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  9. 9
    Metaheuristic based ids using multi-objective wrapper feature selection and neural network classification

    Metaheuristic based ids using multi-objective wrapper feature selection and neural network classification by Ghanem, W.A.H.M, El-Ebiary, Y.A.B., Abdulnab, M., Tubishat, M., Alduais, N.A.M., Nasser, A.B., Abdullah, N., Al-wesabi, O.A.

    Published 2021
    “…The classifier, named as HADMLP is trained using a hybridization of the artificial bee colony along with the dragonfly algorithm. A multi-objective artificial bee colony model which is wrapper-based is used for selection of feature. …”
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  10. 10
    Moving detection using cellular neural network (CNN)

    Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

    Published 2008
    “…These templates are combined to create the most ideal algorithm to detect a moving object in an image. A video of a bouncing ball is recorded using a static camera. …”
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  11. 11
    Metacarpal phantom radiograph edge detection using genetic algorithm gradient based genotype / Norharyati Md Ariff

    Metacarpal phantom radiograph edge detection using genetic algorithm gradient based genotype / Norharyati Md Ariff by Md Ariff, Norharyati

    Published 2007
    “…Genetic algorithms have several steps. For the initial population, 200 pixels will be taken to be the initial population in randomly. …”
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  12. 12
    Stereo Matching Based On Absolute Differences For Multiple Objects Detection

    Stereo Matching Based On Absolute Differences For Multiple Objects Detection by Hamzah, Rostam Affendi, Gan, Melvin Yeou Wei, Nik Anwar, Nik Syahrim

    Published 2019
    “…This article presents a new algorithm for object detection using stereo camera system. …”
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  13. 13
    Vehicle speed detection using frame differencing for smart surveillance system

    Vehicle speed detection using frame differencing for smart surveillance system by Hasliza, A. Rahim@Samsuddin, Usman Ullah, Sheikh, Dr., R. Badlishah, Ahmad, Prof. Madya Dr., Aini Syuhada, Md Zain, Wan Nur Suryani Firuz, Wan Ariffin

    Published 2011
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  14. 14
    An efficient anomaly intrusion detection method with feature selection and evolutionary neural network

    An efficient anomaly intrusion detection method with feature selection and evolutionary neural network by Sarvari, Samira, Mohd Sani, Nor Fazlida, Mohd Hanapi, Zurina, Abdullah @ Selimun, Mohd Taufik

    Published 2020
    “…This research designed an anomaly-based detection, by adopting the modified Cuckoo Search Algorithm (CSA), called Mutation Cuckoo Fuzzy (MCF) for feature selection and Evolutionary Neural Network (ENN) for classification. …”
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  15. 15
    Improvement of Auto-Tracking Mobile Robot based on HSI Color Model

    Improvement of Auto-Tracking Mobile Robot based on HSI Color Model by Sundarajoo, Suresh, Ahmad Shahrizan, Abdul Ghani

    Published 2018
    “…Besides that, this algorithm also prevents tracking loss due to object color appears in the background.…”
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  16. 16
    Quality inspection of engraved image using based matching approach

    Quality inspection of engraved image using based matching approach by Norazlina , Ahmad, Marizan, Sulaiman, Muhamad Khairi, Aripin

    Published 2011
    “…This experiment result shows that the algorithm works better with detection rate of 100% and matching accuracy of more than 98%. …”
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  17. 17
    Multilocal feature selection using genetic algorithm for face identification

    Multilocal feature selection using genetic algorithm for face identification by Mohamad, Dzulkifli

    Published 2008
    “…Although the global facial-based feature approach is the most researched area, this approach is still plagued with many difficulties and drawbacks due to factors such as face orientation, illumination, and the presence of foreign objects. This paper presents an improved offline face recognition algorithm based on a multi-local feature selection approach for grayscale images. …”
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  18. 18
    Hybrid Region Merging For Image Segmentation Using Optimal Global Feature With Global Merging Criterion Approach

    Hybrid Region Merging For Image Segmentation Using Optimal Global Feature With Global Merging Criterion Approach by Vadiveloo, Mogana

    Published 2020
    “…Besides that, improper selection of global feature information by partitional clustering algorithm in turn affects the merging criterion derivation in region merging eventually causing leakages into adjacent visual object regions. …”
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  19. 19
    Tracking consistency metric for video surveillance tracking

    Tracking consistency metric for video surveillance tracking by P., Sebastian, V.V., Yap

    Published 2009
    “…These metrics give a measure of the ability of a tracking algorithm to correctly detect or track a target object. …”
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  20. 20
    Database encryption for a Web-based Claims System

    Database encryption for a Web-based Claims System by Syed Zulkarnain Syed Idrus

    Published 2008
    “…Testing was also done on the encryption algorithms and Web browsers selected by increasing both the text length size and key length size and observed its performances. …”
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