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  1. 1
    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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  2. 2
    The Development Of System For Algorithms Visualization Using Simjava

    The Development Of System For Algorithms Visualization Using Simjava by Jamil Alsayaydeh, Jamil Abedalrahim, Ahmad Idil, Abdul Rahman, Zainon, Maslan, Aziz, Azwan, Zikri Abadi, Baharudin, Oliinyk, Andrii

    Published 2020
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  3. 3
    Neural network based model predictive control for a steel pickling process

    Neural network based model predictive control for a steel pickling process by Kittisupakorn, P., Thitiyasook, P., Hussain, Mohd Azlan, Daosud, W.

    Published 2009
    “…The Levenberg-Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. …”
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  4. 4
    The development of network error message alert retrieval for organizational intelligence system based on information retrieval techniques / Ahmad Syazwan Ahmad Zaki

    The development of network error message alert retrieval for organizational intelligence system based on information retrieval techniques / Ahmad Syazwan Ahmad Zaki by Ahmad Zaki, Ahmad Syazwan

    Published 2015
    “…In order to overcome this problem, this dissertation will develop an algorithm for the top management to retrieve the important information using information retrieval techniques and method. …”
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    Thesis
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  5. 5
    Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani

    Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani by Abdul Ghani, Nur Syafiqah

    Published 2021
    “…To achieve the set objectives, this research is conducted through three-phase of research activities which are Data pre-processing, Model Development, and Model Validation. …”
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  6. 6
    A QOS Evaluation of the TCP Congestion Control Algorithm

    A QOS Evaluation of the TCP Congestion Control Algorithm by Mnaathr, Satar Habib

    Published 2010
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  7. 7
    Computer vision that can ‘see’ in the dark

    Computer vision that can ‘see’ in the dark by Wong, Yan Chiew, Ahmad Radzi, Syafeeza, Goh, Shi Yong, Sarban Singh, Ranjit Singh

    Published 2024
    “…Insufficient lighting environment has raised challenges for night shift workers’ safety monitoring. Thus, we have developed a computer vision-based algorithm recognizing 11 actions based on action recognition in dark (ARID) dataset. …”
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  8. 8
    Mypesananlive: The development of facebook live order management system using natural language processing approach

    Mypesananlive: The development of facebook live order management system using natural language processing approach by Muhammad Danial Aiman Mohd Hanif

    Published 2022
    “…(ii) To develop a Facebook Live order management system integrated with natural language processing techniques. …”
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    Academic Exercise
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  9. 9
    DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES

    DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES by HANIZAM, MOHD HAZIQ NAZMI

    Published 2019
    “…The implementation of the algorithm consists of three stages which are pre-processing, network training and accuracy evaluation. …”
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    Final Year Project
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  10. 10
    Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman

    Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman by Mohd Azman, Muhammad Qayyum

    Published 2024
    “…This research process serves as a blueprint for developing advanced technical solutions that aid authorities and healthcare professionals in optimal resource management during emergency situations.…”
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    Thesis
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  11. 11
    Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm

    Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm by Ullah Patwari, Mohammed Anayet, Amin, A. K. M. Nurul, Istihyaq , M.H., Faris, Waleed Fekry

    Published 2010
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  12. 12
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Adil Soomro, Zubair, Adrianshah, Andi

    Published 2023
    “…According to this simulation process is shows that Q-Learning is a better performance and effective to train the system to achieve desire compared with SARSA algorithm for drone controller.…”
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  13. 13
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Zubair Adil Soomro, Zubair Adil Soomro, Andi Adrianshah, Andi Adrianshah

    Published 2023
    “…According to this simulation process is shows that Q-Learning is a better performance and effective to train the system to achieve desire compared with SARSA algorithm for drone controller.…”
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  14. 14
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Soomro, Zubair Adil, Adrianshah, Andi

    Published 2023
    “…According to this simulation process is shows that Q-Learning is a better performance and effective to train the system to achieve desire compared with SARSA algorithm for drone controller.…”
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  15. 15
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Adil Soomro, Zubair, Adrianshah, Andi

    Published 2023
    “…According to this simulation process is shows that Q-Learning is a better performance and effective to train the system to achieve desire compared with SARSA algorithm for drone controller.…”
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  16. 16
    Development of land target following system of hexacopter

    Development of land target following system of hexacopter by Zakaria, Abdul Hafiz, Mohd Mustafah, Yasir, M. Hatta, Muhd. Mudzakkir, N. Azlan, Muhd. Nadzif

    Published 2015
    “…The future works include incorporating more complex image processing algorithms to get better target detection performance and more experiments on different real life situations.…”
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    Proceeding Paper
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  17. 17
    A four stage image processing algorithm for detecting and counting of bagworm, Metisa plana Walker (Lepidoptera: Psychidae)

    A four stage image processing algorithm for detecting and counting of bagworm, Metisa plana Walker (Lepidoptera: Psychidae) by Ahmad, Mohd Najib, Mohamed Shariff, Abdul Rashid, Aris, Ishak, Abdul Halin, Izhal

    Published 2021
    “…Due to this, monitoring and detecting of bagworm populations in oil palm plantations is required as the preliminary steps to ensure proper planning of control actions in these areas. Hence, 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 has been researched and completed. …”
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  18. 18
    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
    thesis::doctoral thesis
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  19. 19
    Resource management in grid computing using ant colony optimization

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
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    Monograph
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  20. 20
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Mohamad Hafiz Abu Bakar, Mohamad Hafiz Abu Bakar, Abu Ubaidah Shamsudin, Abu Ubaidah Shamsudin, Ruzairi Abdul Rahim, Ruzairi Abdul Rahim, Zubair Adil Soomro, Zubair Adil Soomro, Andi Adrianshah, Andi Adrianshah

    Published 2023
    “…According to this simulation process is shows that Q-Learning is a better performance and effective to train the system to achieve desire compared with SARSA algorithm for drone controller.…”
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