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  1. 1

    Solving time gap problems through the optimization of detecting stepping stone algorithm by Omar, Mohd. Nizam, Maarof, Mohd. Aizaini, Zainal, Anazida

    Published 2004
    “…It is found that current algorithm of detecting stepping stone is not optimized. …”
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    Book Section
  2. 2

    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
    “…Edge detection algorithm is used to simplify image data by minimizing the amount of pixel to be processed, whereas the mathematical morphology is used for smoothing effects and localizing the object shape using mathematical theory sets.The discussion section focuses on the improved edge map and boundary morphology (EmaBm) algorithm as a new technique for shape boundary recognition.A comparative analysis of various edge detection algorithms is presented.It reveals that the LoG’s edge detection embedded in EmaBM algorithm performs better than the other edge detection algorithms for fruit shape boundary recognition. …”
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    Article
  3. 3

    Segmentation of Lung Region in Computed Tomography (CT) Images by Mohd Bokeri, Husna Adila

    Published 2015
    “…With 39 top and 37 bottom section lung images, the algorithm give yy43% and 82.05% correct segmentation of lung. …”
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    Final Year Project
  4. 4

    Fault section detection and location on distribution network using analytical voltage sags database by Khalid, A.R., Mokhlis, Hazlie, Li, H.

    Published 2006
    “…By doing this all the possible sections due to the fault can be selected. Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. …”
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    Conference or Workshop Item
  5. 5

    Malaysian license plate number detection based on sobel vertical edge algorithm / Siti Nor Azimah Ibrahim by Ibrahim, Siti Nor Azimah

    Published 2007
    “…The system captures the images of the vehicles with a digital camera. An algorithm for the detection of license plate has been designed and an algorithm for filter the detected edge is proposed for future process which is plate number extraction This project describes the method used by a computer to convert digital images of vehicles license plate into electronic text. …”
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    Thesis
  6. 6

    Object detection system using haar-classifier by Wan Najwa, Wan Ismail

    Published 2009
    “…An algorithm for the design object detection systems is presented. …”
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    Undergraduates Project Papers
  7. 7

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

    Published 2016
    “…This paper highlights the various edge detection algorithms working method and comparison is made based on the advantages and disadvantages of the algorithms for the identification of an optimum edge detection algorithm. …”
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    Final Year Project
  8. 8

    Adaptive DNA computing algorithm by using PCR and restriction enzyme by Watanabe, Shinpei, Tsuboi, Yusei, Ibrahim, Zuwairie, Yamamoto, Tsuneto, Ono, Osamu

    Published 2004
    “…In this paper, we introduce a new adaptive DNA coinpitting algorithm by using Poiymcruse Chain Rearlion (PCR). …”
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    Book Section
  9. 9

    A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.] by Wan Xing, Sultan Mohd, Mohd Rizman, Johari, Juliana, Ahmat Ruslan, Fazlina

    Published 2023
    “…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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    Article
  10. 10

    Multithreaded Scalable Matching Algorithm For Intrusion Detection Systems by Hnaif, Adnan Ahmad Abdelfattah

    Published 2010
    “…Hence, this thesis defines a new algorithm called the Distributed Packet Header Matching algorithm (DPHM), and a New Network Intrusion Detection Systems (NNIDS) platform using hybrid technology in order to increase the overall performance of SNORT-NIDS.…”
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    Thesis
  11. 11

    An isolated speech endpoint detector using multiple speech features by Ahmad, Abdul Manan, Goh, Kia Eng, Mohamed Shaharoun, Awaluddin, Tan, Chiu Yeek, Jarni, Muhamad Hafiz

    Published 2004
    “…This algorithm offers better performance than conventional algorithm which using energy only. …”
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    Book Section
  12. 12

    March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults by Mihai, Masnita, Wan Hassan, Wan Zuha, Sidek, Roslina, Abdul Halin, Izhal

    Published 2009
    “…This paper analyses March algorithms for detection and diagnosis of Stuck-At Faults (SAFs) and Transition Faults (TFs). …”
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    Article
  13. 13

    Hybrid anti-islanding algorithm for utility interconnection of distributed generation by Abdolrasol, M.G.M., Mekhilef, Saad

    Published 2009
    “…This algorithm is based on two detection schemes; namely active and passive. …”
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    Conference or Workshop Item
  14. 14

    Distributed Online Averaged One Dependence Estimator (DOAODE) Algorithm for Multi-class Classification of Network Anomaly Detection System by R.Badlishah, Ahmad, Nawir, M., Amir, A, Yaakob, N, Mat Safar, A, Mohd Warip, M.N, Zunaidi, I

    Published 2019
    “…Therefore, this paper aims to develop an effective and efficient network anomaly detection system by using distributed online averaged one dependence estimator (DOAODE) classification algorithm for multi-class network data to overcome these issues. …”
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    Conference or Workshop Item
  15. 15

    Signal detection algorithm for cognitive radio using singular value decomposition by Omar, Mohd Hasbullah, Hassan, Suhaidi, Amphawan, Angela, Awang Nor, Shahrudin

    Published 2011
    “…This paper highlights an algorithm for detecting the presence of wireless signal using the Singular Value Decomposition (SVD) technique.We simulated the algorithm to detect common digital signals in wireless communication to test the performance of the signal detector.The SVD-based signal detector was found to be more efficient in detecting a signal without knowing the properties of the transmitted signal.The performance of the algorithm is better compared to the favorable energy detection.The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown.This is also the advantage of the algorithm since any signal would interfere and subsequently affect the quality of service (QoS) of the IEEE 802.22 connection.Furthermore, the algorithm performed better in the low signalto-noise ratio (SNR) environment.…”
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    Conference or Workshop Item
  16. 16

    Segmentation of Sinus Images for Grading of Severity of Sinusitis by Iznita , I.L., Asirvadam , Vijanth Sagayan

    Published 2009
    “…This project attempts to develop a computerize system by developing algorithm for the segmentation of sinus images for the detection of sinusitis. …”
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    Book Section
  17. 17

    High impedance fault detection and identification based on pattern recognition of phase displacement computation by Ali, Mohd Syukri, Bakar, Ab Halim Abu, Tan, Chia Kwang, Arof, Hamzah, Mokhlis, Hazlie

    Published 2018
    “…This paper proposes a new algorithm for high-impedance-fault (HIF) detection based on phase displacement computation (PDC). …”
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    Article
  18. 18

    Development of pose estimation algorithm for Quranic Arabic word by Mohd Esa, Luqman Naim, Morshidi, Malik Arman, Mohd Zailani, Syarah Munirah

    Published 2018
    “…The study carried out in this report proposes the best keypoint detection, description, and pose estimation algorithm combination for Quranic Arabic words. …”
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    Article
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  20. 20

    Joint optimal detection of ordering SIC ZF and SIC ZF MAP for V-BLAST/STBC wireless communication systems by Chong, Jin Hui, Khatun, Sabira, Noordin, Nor Kamariah, Mohd Ali, Borhanuddin, Syed Junid, Syed Mansor

    Published 2008
    “…Simulation results show the symbol error rate performance degradation of the proposed algorithm is small compared to SIC ZF MAP detection.…”
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    Conference or Workshop Item