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  1. 1
    An introduction to swarming robotics: application development trends

    An introduction to swarming robotics: application development trends by Zainal Abidin, Zulkifli

    Published 2013
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  2. 2
    Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah

    Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah by Abdullah, Muhamad Faizol Adli

    Published 2010
    “…Backpropagation (BP) algorithm is widely used to solve many real world problems by using the concept of Multilayer Perception (MLP). …”
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    Thesis
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  3. 3
    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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  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
    thesis::doctoral thesis
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  5. 5
    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling

    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

    Published 2024
    “…This study proposed a motion planning and control strategy for an autonomous vehicle collision avoidance system based on the potential field (PF) approach with a combination of the parameter scheduling technique. A particle swarm optimization algorithm is used to optimize the knowledge database information that is developed based on the perception of driver toward risk in the driving environment. …”
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  6. 6
    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling

    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

    Published 2024
    “…This study proposed a motion planning and control strategy for an autonomous vehicle collision avoidance system based on the potential field (PF) approach with a combination of the parameter scheduling technique. A particle swarm optimization algorithm is used to optimize the knowledge database information that is developed based on the perception of driver toward risk in the driving environment. …”
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