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  1. 1
    Fire Detection Based on Color Filters and Bag-of- Features Classification

    Fire Detection Based on Color Filters and Bag-of- Features Classification by Poobalan, Kumaraguru, Liew, Siau-Chuin

    Published 2015
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  2. 2
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  3. 3
    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani

    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

    Published 2016
    “…We then develop a new algorithm to address the summarizing strategies identification problem. …”
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  4. 4
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
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  5. 5
    Two-stage Heuristic for Primary School Timetabling Problem with Combined Classes Consideration

    Two-stage Heuristic for Primary School Timetabling Problem with Combined Classes Consideration by Sze, San Nah, Tan, See Yan, Chiew, Kang Leng, Tiong, Wei King

    Published 2020
    “…Most of the primary school timetables are manually developed, which is extremely time-consuming. According to the new policy announced on 12th Dec 2017by the Ministry of Education (MoE) Malaysia, due to the shortage of teachers, combined-classes should be implemented in lowenrolment schools with fewer than 30 students. …”
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  6. 6
    Development of an automated detector and counter for bagworm census

    Development of an automated detector and counter for bagworm census by Ahmad, Mohd Najib

    Published 2020
    “…The development of an image processing algorithm for detection and counting of Metisa plana Walker, a species of Malaysia’s local bagworm using image segmentation was proposed as it was found to be better than the thermal approach after some preliminary field tests. …”
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