Search Results - (( rainfall distribution ((a algorithm) OR (new algorithm)) ) OR ( re education system algorithm ))

Refine Results
  1. 1

    A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Chuan, Zun Liang, Wan Nur Syahidah, Wan Yusoff, Azlyna, Senawi, Mohd Akramin, Mohd Romlay, Fam, Soo-Fen, Wendy Ling, Shinyie, Tan Lit, Ken

    Published 2022
    “…The main objective of this study is to investigate the effectiveness of the automated agglomerative hierarchical and non-hierarchical regionalisation algorithms in identifying the homogeneous rainfall regions based on a new statistically significant difference regionalised feature set. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Zun, Liang Chuan, Wan Yusof, Wan Nur Syahidah, Senawi, Azlyna, Mohd Akramin, Mohd Romlay, Soo, Fen Fam, Wendy, Ling Shinyie, Tan, Lit Ken

    Published 2022
    “…The main objective of this study is to investigate the effectiveness of the automated agglomerative hierarchical and non-hierarchical regionalisation algorithms in identifying the homogeneous rainfall regions based on a new statistically significant difference regionalised feature set. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Chuan, Zun Liang, Wan Nur Syahidah, Wan Yusoff, Azlyna, Senawi, Mohd Akramin, Mohd Romlay, Fam, Soo-Fen, Shinyie, Wendy Ling, Ken, Tan Lit

    Published 2022
    “…The main objective of this study is to investigate the effectiveness of the automated agglomerative hierarchical and non-hierarchical regionalisation algorithms in identifying the homogeneous rainfall regions based on a new statistically significant difference regionalised feature set. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms by Marina, Patrick, Mah, Yau Seng, Putuhena, Frederik Josep, Wang, Yin Chai, Onni Suhaiza, Selaman

    Published 2016
    “…These findings suggest that satellite algorithm estimations from TRMM are suitable to represent the spatial distribution of extreme rainfall.…”
    Get full text
    Get full text
    Get full text
    Article
  5. 5
  6. 6

    The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli by Ramli, Suzana

    Published 2015
    “…Flooding is a natural disaster that often occurs in Malaysia due to its heavy rainfall distribution. …”
    Get full text
    Get full text
    Thesis
  7. 7
  8. 8

    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin by Nasaruddin, Amir Hambaly

    Published 2019
    “…The development of Web-Based RIG Performance Reporting System is a solution to the CoRe department to generating the report from the system. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Investigating the relationship between the urban heat island effect and short-duration extreme rainfall in Kuala Lumpur by Tan, Yan Kai

    Published 2025
    “…Hourly rainfall data exceeding the 99th percentile from 2007 to 2023 were used to assess spatiotemporal variation, diurnal distribution and trends. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  10. 10

    Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization by El Tawil, Naji Ammar Mansour

    Published 2021
    “…The PSO algorithm allocates and determines the size of the capacitor and distributed generation in the power system. …”
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11

    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios by Tayebiyan, Aida

    Published 2015
    “…The increase in temperature could influence time and magnitude of rainfall by shifting dry and wet seasons. Moreover, the output results indicate a decrease in monthly rainfall. …”
    Get full text
    Get full text
    Get full text
    Thesis
  12. 12
  13. 13
  14. 14
  15. 15

    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

    Published 2020
    “…Determination of the best factor is carried out in a genetic algorithm by combining several parameters of the crossover probability (Pc) and mutation probability (Pm). …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    A Comparative Study of Z-Score and Min-Max Normalization for Rainfall Classification in Pekanbaru by Rahmad Ramadhan, Laska, Anne Mudya, Yolanda

    Published 2024
    “…Data preprocessing plays a crucial role in enhancing the performance of machine learning algorithms for classification tasks. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18
  19. 19

    Comparison of future intensity duration frequency curve by considering the impact of climate change: case study for Kuching city by Kuok, Kelvin K.K, Mah, D.Y.S., Imteaz, M.A, Kueh, S.M

    Published 2016
    “…Very often, hydrologist found that the severity of flood is 100-year ARI. However, there is a possibility that the 100-year ARI flood severity will hit the same place again after a few months later. …”
    Get full text
    Get full text
    Article
  20. 20

    Climate change impact on hydrological, sediment, and nutrient in Langat River basin: an assessment using integrated model / Nor Faiza Abd Rahman by Abd Rahman, Nor Faiza

    Published 2019
    “…The research suggested that artificial neural network (ANN) using a Lavenberg-Marquardt algorithm can successfully regenerate stream flow and sediment missing data for better accuracy of model. …”
    Get full text
    Get full text
    Thesis