Search Results - (( developing soil generation algorithm ) OR ( java code classification algorithm ))

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  1. 1

    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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    Article
  2. 2

    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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    Monograph
  3. 3

    Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns by Hoque, Md. Ikramul, Muzamir, Hasan, Islam, Md Shofiqul, Houda, Moustafa, Abdallah, Mirvat, Sobuz, Md. Habibur Rahman

    Published 2023
    “…In this study, several machine learning approaches are used for the prediction of the unconfined compressive strength (UCS) of polypropylene-stabilised soft soil. This research work generates new data and applies several machine learning algorithms for the analysis of UCS. …”
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    Article
  4. 4

    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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    Thesis
  5. 5

    Shear strength prediction of treated soft clay with sugarcane bagasse ash using artificial intelligence methods by Rufaizal Che Mamat, Sri Atmaja P. Rosyidi, Azuin Ramli

    Published 2023
    “…Case studies of 144 soft clay soil samples from Sarang Buaya, Semerah, Malaysia, were utilised to generate training and testing datasets for developing and validating models. …”
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    Article
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    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

    Published 2008
    “…The model has estimated the runoff using the Soil Conservation Service-Curve Numbers (SCS-CN), determined by the land use/ land cover and the hydrological soil group found in each grid. …”
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    Thesis
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    The evolution of spectral analysis of surface wave method – a review by Mannan Mitu, Sadia Mannan Mitu, Abd. Rahman, Norinah, Mohd Taib, Aizat, Ramli, Ahmad Bukhari, Abang Hasbollah, Dayang Zulaika

    Published 2021
    “…The artificial neural network could be implemented to generate the shear wave velocity profile from the dispersion curve and perform well for the upper layer’s parameters.…”
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    Article
  13. 13

    Pile Capacity Checking Tool based on Distributed Fibre Optic Sensing for Instrumented Pile Load Test by Beddelee, A.A.A.M., Mohamad, H., Tee, B.P.

    Published 2023
    “…The software typically requires input parameters such as extensive soil data, structure geometry, and loading intensity. …”
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    Conference or Workshop Item
  14. 14

    Comparative Analysis of Gene Expressed in Trunking and Non-Trunking Metroxylon sagu Leaves Utilizing Transcriptome Sequencing by Wei Jie, Yan

    Published 2023
    “…However, sago palm planted on deep-peat soil failed to develop their trunk even after 17 years of being planted. …”
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    Thesis
  15. 15

    An improved streamflow model with climate and land use factors for Hulu Langat Basin by Falamarzi, Yashar

    Published 2014
    “…Therefore, assessing the impacts of these changes on water availability is essential and requisite to adapt water resources management and for planning sustainable development strategies especially in a rapid socio-economic development. …”
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    Thesis
  16. 16

    Change analyses and prediction of land use and land cover changes in Bernam River Basin, Malaysia by Kondum, F.A., Rowshon, Md.K., Luqman, C.A., Hasfalina, C.M., Zakari, M.D.

    Published 2024
    “…The MLP model, trained on land change driver variables, facilitated the generation of transition potentials for simulating future LULC changes. …”
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    Article
  17. 17

    Crown counting and mapping of missing oil palm tree using airborne imaging system by Kee, Ya Wern

    Published 2019
    “…The overall accuracy of counting existing oil palm trees using the approach developed in this study is 93.3% while missing trees detection gives the detection accuracy of 89.2%. …”
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    Thesis