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  1. 1
    Object-Oriented Programming semantics representation utilizing agents

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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  2. 2
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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  3. 3
    T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm

    T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm by Rahman, Mostafijur, Sultana, Dalia, Sabira, Khatun, M. F. M., Jusof, Syamimi Mardiah, Shaharum, Nurhafizah, Abu Talip Yusof, Qaiduzzaman, Khandker M., Hasan, Md. Hasibul, Rahman, Md. Mushfiqur, Hossen, Md. Anwar, Begum, Afsana

    Published 2019
    “…The reason is that the T-way sequence input interaction is NP-Hard problem. In this research, Fish Swarm algorithm is proposed to adapt with T-way sequence input interaction test strategy. …”
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  4. 4
    Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization: article / Junainah Pardi

    Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization: article / Junainah Pardi by Pardi, Junainah

    Published 2009
    “…Once the locations are determined, Particle Swarm Optimization (PSO) technique is developed to identify the optimal size of the DG. It is an algorithm that represents the behavior of a flock of birds or a school of fish.…”
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  5. 5
    Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi

    Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi by Pardi, Junainah

    Published 2009
    “…Once the locations are determined, Particle Swarm Optimization (PSO) technique is developed to identify the optimal size of the DG. It is an algorithm that represents the behavior of a flock of birds or a school of fish.…”
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    Thesis
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  6. 6
    Developing an ensembled machine learning prediction model for marine fish and aquaculture production

    Developing an ensembled machine learning prediction model for marine fish and aquaculture production by Rahman L.F., Marufuzzaman M., Alam L., Bari M.A., Sumaila U.R., Sidek L.M.

    Published 2023
    “…This research aims to develop an MLbased prediction of marine fish and aquaculture production. …”
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  7. 7
    Development of fish cupula inspired multi-fluidic sensor for liquid slosh detection

    Development of fish cupula inspired multi-fluidic sensor for liquid slosh detection by Ahmad, Mohd Ashraf, Musa, Zulkifli, Zawawi, Mohd Anwar, Mohd Falfazli, Mat Jusof, Mohd Rashid, Muhammad Ikram, Suid, Mohd Helmi, Zaharuddin, Mohamed

    “…Using the accelerometer as a detector device, the wave height reading generated by tank movement can be identified and analyzed. …”
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    Research Report
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  8. 8
    Garra Rufa‐inspired optimization technique

    Garra Rufa‐inspired optimization technique by Abdulbari, Hayder A., Jaber, Aqeel S., Shalash, Nadheer A., Abdalla, Ahmed N.

    Published 2020
    “…The present work was inspired by the fascinating movement of Garra Rufa fish between two immersed legs during a regular “fish massage session.” …”
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  9. 9
    Development and characterization of anonymous nuclear markers to determine genetic variation in two groupers species and their hybrids

    Development and characterization of anonymous nuclear markers to determine genetic variation in two groupers species and their hybrids by Ahmad Zaidi Tani

    Published 2015
    “…This study set forth to overcome this limitation by developing the second generation of non-coding non informative anonymous nuclear markers (ncni-ANM) for subsequent genetic characterization of Fl grouper hybrids. …”
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