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  1. 1
    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems

    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

    Published 2022
    “…Teaching learning-based optimization is one of the widely accepted metaheuristic algorithms inspired by teaching and learning within classrooms. …”
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  2. 2
    An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies

    An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies by Abdi, A., Idris, N., Alguliyev, R.M., Aliguliyev, R.M.

    Published 2016
    “…Design/Results: This paper aims to propose an algorithm based on the combination of semantic relations between words and their syntactic composition to identify summarizing strategies employed by students in summary writing. …”
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  3. 3
    Evaluating the usability of a Quranic theme extraction and visualization system using task-based usability testing

    Evaluating the usability of a Quranic theme extraction and visualization system using task-based usability testing by Azuan, Alya Maisarah

    Published 2025
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  4. 4
    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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  5. 5
    Temperature Control for Engineering Undergraduate Fuzzy Logic Labotary

    Temperature Control for Engineering Undergraduate Fuzzy Logic Labotary by Mohd Fadzil Abu Hassan, Yusman Yusof, Muhammad Sobri Ramli

    Published 2013
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  6. 6
    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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  7. 7
    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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  8. 8
    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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    Undergraduates Project Papers
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  9. 9
    Exploring micro aerial vehicle mechanism and controller design using Webots simulation

    Exploring micro aerial vehicle mechanism and controller design using Webots simulation by Pebrianti, Dwi, Suhaimi, Muhammad Syafiq, Hossain, Md. Jobaher, Bayuaji, Luhur

    Published 2023
    “…In the methodology section, the setup of the Webots�based drone simulation, including the selection of a suitable drone model, sensor configurations, and the implementation of control algorithms will be explained. …”
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  10. 10
    Exploring micro aerial vehicle mechanism and controller design using webots simulation

    Exploring micro aerial vehicle mechanism and controller design using webots simulation by Dwi, Pebrianti, Muhammad Syafiq, Suhaimi, Hossain, Md. Jobaher, Luhur, Bayuaji

    Published 2023
    “…In the methodology section, the setup of the Webots-based drone simulation, including the selection of a suitable drone model, sensor configurations, and the implementation of control algorithms will be explained. …”
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  11. 11
    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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  12. 12
    A new teaching learning artificial bee colony based maximum power point tracking approach for assessing various parameters of photovoltaic system under different atmospheric conditions

    A new teaching learning artificial bee colony based maximum power point tracking approach for assessing various parameters of photovoltaic system under different atmospheric condit... by Dokala Janandra, Krishna Kishore

    Published 2024
    “…In addition, to enhance the performance teaching learning-based artificial bee colony (TLABC) method has been used at distinct weather conditions. …”
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  13. 13
    Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences

    Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences by Lim, Bih Loong

    Published 2019
    “…Based on their pre-test and post-test results, nine of them were selected for individual interview. …”
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  14. 14
    Contextualising Computational Thinking: A Case Study in Remote Rural Sarawak Borneo

    Contextualising Computational Thinking: A Case Study in Remote Rural Sarawak Borneo by Nur Hasheena, Anuar, Fitri Suraya, Mohamad, Jacey Lynn, Minoi

    Published 2020
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  15. 15
    Word problems as a vehicle for teaching computational thinking

    Word problems as a vehicle for teaching computational thinking by Ting, Ku Soh, Talib, Othman, Mohd Ayub, Ahmad Fauzi, Zolkepli, Maslina, Yee, Chen Chuei, Hoong, Teh Chin

    Published 2023
    “…As a result, building a learning environment can be a daunting task for many instructors who lack the tools and research-based expertise to redesign their teaching methods. …”
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  16. 16
    Modeling Teacher's Integrity Using Data Mining

    Modeling Teacher's Integrity Using Data Mining by Mohd Latifi, Abdul Ghani

    Published 2010
    “…With high integrity characteristic, the teachers will enable to manage class excellently, encourage students in teaching and learning activities and able to complete task given by administrator on time. …”
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  17. 17
    Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin

    Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin by Nordin, Daarin Nadia

    Published 2020
    “…As an extension in the study, future recommendations should include a classifying model that can classify ASD student’s method and approach in teaching them.…”
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  18. 18
    Lower Form Grade System (LF-Grade Sys) / Norhanisha Yusof ... [et al.]

    Lower Form Grade System (LF-Grade Sys) / Norhanisha Yusof ... [et al.] by Yusof, Norhanisha, A. Sanggar, Logineey, Kalidason, Tiivashkkar, Saravanan, Puvithra

    Published 2023
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    Book Section
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  19. 19
    Bridging Mayer’s cognitive theory of multimedia learning and computational thinking in tackling the cognitive load issues among young digital natives : a conceptual framework

    Bridging Mayer’s cognitive theory of multimedia learning and computational thinking in tackling the cognitive load issues among young digital natives : a conceptual framework by Wan Nor Ashiqin Wan Ali, Wan Ahmad Jaafar Wan Yahaya

    Published 2022
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  20. 20
    Using the line array representation as an alternative method for understanding whole number multiplication among primary students

    Using the line array representation as an alternative method for understanding whole number multiplication among primary students by Chai, Chin Pheng

    Published 2015
    “…Qualitative data was collected by using the teaching experiment technique. Students worked in pairs on ten SDM and two MDM tasks. …”
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