Search Results - (( developing transition detection algorithm ) OR ( java application optimized algorithm ))

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    Shot boundary detection based on orthogonal polynomial by Abdulhussain, Sadiq H., Ramli, Abd Rahman, Mahmmod, Basheera M., Saripan, Mohd Iqbal, Al-Haddad, Syed Abdul Rahman, Jassim, Wissam A.

    Published 2019
    “…SBD is the process of automatically partitioning video into its basic units, known as shots, through detecting transitions between shots. The design of SBD algorithms developed from simple feature comparison to rigorous probabilistic and using of complex models. …”
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    Article
  2. 2

    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
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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
  5. 5

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
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    March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults by Mat Isa, Masnita

    Published 2012
    “…March tests are developed based on functional fault model (FFM) such as stuck-at faults (SAFs), transition faults (TFs) and coupling faults (CFs). …”
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    Thesis
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    Fast shot boundary detection based on separable moments and support vector machine by Idan, Zinah N., Abdulhussain, Sadiq H., Mahmmod, Basheera M., Al-Utaibi, Khaled A., Syed Abdul Rahman Al-, Syed Abdul Rahman Al-Hadad, Sait, Sadiq M.

    Published 2021
    “…It aims to partition the video sequence into shots by detecting shot transitions. High computational cost in transition detection is considered a bottleneck for real-time applications. …”
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    Article
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    Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji by Muhammad Illyas, Abdul Muhji

    Published 2018
    “…Final output of the algorithm summarise the bleeding detection for all patient in an excel file. …”
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    Thesis
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    Missing tags detection algorithm for radio frequency identification (RFID) data stream by Zainudin, Nur 'Aifaa

    Published 2019
    “…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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    Thesis
  12. 12

    Evaluating Machine Learning Algorithms for Fake Currency Detection by Keerthana, S.N, Chitra, K.

    Published 2024
    “…Our findings contribute to developing reliable, automated systems for counterfeit detection, and enhancing financial security…”
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    Article
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    Fault detection with optimum March Test Algorithm by Zakaria, Nor Azura, Wan Hasan, Wan Zuha, Abdul Halin, Izhal, Mohd Sidek, Roslina, Wen, Xiaoqing

    Published 2012
    “…Therefore to improve fault detection, an automation program is developed based on sequence operation (SQ) generation rules. …”
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    Conference or Workshop Item
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    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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    Thesis
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    System setup on jetson nano for smart crowd covid monitoring system by Muhammad Othman, Maliki

    Published 2022
    “…The algorithm have to simplified to use a singleshot object detection model as part of the Nano transition, recognizing the following object classes: face with mask, face without mask, and face not visible. …”
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    Undergraduates Project Papers