Search Results - (( rainfall distribution _ algorithm ) OR ( parameter estimation mead algorithm ))

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  1. 1
    Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia

    Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia by Zulkarnain, Norsyahidah, Abdul Hadi, Muhammad Salihi, Mohammad, Nurul Farahain, Shogar, Ibrahim

    Published 2023
    “…Nelder-Mead outperforms the other optimization algorithm with the least error. …”
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  2. 2
    Poisson Transmuted Exponential Distribution For Count Data With Skewed, Dispersed And Excess Zero

    Poisson Transmuted Exponential Distribution For Count Data With Skewed, Dispersed And Excess Zero by Ademola Abiodun, Adetunji

    Published 2024
    “…Different Moment-Based Mathematical Properties Of The New Proposed Distributions Are Obtained. Different Algorithms Are Used To Assess The Maximum Likelihood Estimates For The Parameters Of The Proposed Distributions.The Newton-Raphson And The Nelder-Mead, With Minimum Iterations For Convergence And Log-Likelihood Values, Provide Optimum Estimates. …”
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  3. 3
    Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah

    Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah by Wan Shahidan, Wan Nurshazelin, Abdullah, Siti Nurasikin

    Published 2017
    “…So, in this study clustering algorithm on rainfall distribution dataset is done using WEKA 3.8 software. …”
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  4. 4
    TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms

    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.…”
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  5. 5
    Hybrid Genetic Algorithm On Predicting Next Rainfall Distribution

    Hybrid Genetic Algorithm On Predicting Next Rainfall Distribution by Mohd Zain, Rasuan

    Published 2017
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  6. 6
    Simulation of COVID-19 outbreaks via graphical user interface (GUI)

    Simulation of COVID-19 outbreaks via graphical user interface (GUI) by Mohd Jamil, Norazaliza, Rosli, Norhayati, Muhammad, Noryanti

    Published 2021
    “…An improved SIRD model was solved via the 4th order Runge-Kutta (RK4) method and 14 unknown parameters were estimated by using Nelder- Mead algorithm and pattern-search technique. …”
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  7. 7
    A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions

    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
    “…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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  8. 8
    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions

    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
    “…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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  9. 9
    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions

    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
    “…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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  10. 10
    Nonlinear partial differential equations model related to ethanol production

    Nonlinear partial differential equations model related to ethanol production by Ahmad Izul Fakhruddin, Azimi, Norazaliza, Mohd Jamil

    Published 2019
    “…Since the model is nonlinear partial differential equations (PDEs), Gear's algorithm, a numerical method was employed to solve the system while the Nelder-Mead method is utilised to estimate the value of the parameters. …”
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  11. 11
    Investigating the relationship between the urban heat island effect and short-duration extreme rainfall in Kuala Lumpur

    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. …”
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  12. 12
    Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization

    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. …”
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  13. 13
    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios

    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. …”
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  14. 14
    Development and Application of a Finite Element Distributed Rainfall Runoff Simulation Model

    Development and Application of a Finite Element Distributed Rainfall Runoff Simulation Model by Huang, Yuk Feng

    Published 2000
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  15. 15
    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat

    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
    “…Based on the initial study conducted, there are 6 factors that have the potential to influence the number of DHF cases in an area, namely temperature (X1), rainfall (X2), population density (X3), altitude (X4), distribution of males (X5), and distribution of education level (X6). …”
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  16. 16
    The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli

    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. Lately, the exceptional amount of rainfall worsens the flood situation. …”
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  17. 17
    A Comparative Study of Z-Score and Min-Max Normalization for Rainfall Classification in Pekanbaru

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

    Published 2024
    “…This study focuses on normalizing rainfall data in Pekanbaru from 2019 to 2023. The objective is to compare various data normalization techniques, including Min-Max Normalization and Z-Score Normalization. …”
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  18. 18
    Simulation of the distributed rainfall-runoff process

    Simulation of the distributed rainfall-runoff process by Huang, Yuk Feng, Lee, Teang Shui

    Published 2011
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  19. 19
    Comparison of future intensity duration frequency curve by considering the impact of climate change: case study for Kuching city

    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
    “…Therefore, there is an initiative in this study to derive future IDF curve by considering the future rainfall using ‘delta’ approach. The annual maximum precipitations for 2020s, 2050s and 2080s are generated using Statistical Downscaling Model (SDSM), neural network (NN) with scale conjugate gradient and Cuckoo search optimization algorithms. …”
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  20. 20
    Rain models for the prediction of fade duration at millimeter wavelengths

    Rain models for the prediction of fade duration at millimeter wavelengths by Othman, Mohd. Afzan

    Published 2006
    “…Previous researches pointed out that the distribution of the durations of rain events at different intensities is more fundamental than distributions of link fades. …”
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