Search Results - (( rainfall distribution using algorithm ) OR ( user evaluation bees algorithm ))
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MYMealPal: Malaysian healthy meal planner using artificial bee colony approach / Wan Muhamad Amirul Hakimi Wan Mohd Zaki
Published 2017“…Then each of the meal plans will be refined in the exploitation process. ABC algorithm will evaluate every meal calories in the database to find the best meal plan with the optimal calories for user. …”
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Student Project -
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Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony
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Academic Exercise -
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Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah
Published 2017“…So, in this study clustering algorithm on rainfall distribution dataset is done using WEKA 3.8 software. …”
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TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms
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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A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
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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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
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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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
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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Investigating the relationship between the urban heat island effect and short-duration extreme rainfall in Kuala Lumpur
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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Final Year Project / Dissertation / Thesis -
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Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization
Published 2021“…The proposed PSO algorithm was used with the OpenDSS engine to solve the power flow through the MATLAB and has been successful implemented in finding an optimal allocation and suitable size of the capacitor and distributed generation. …”
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Thesis -
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. The result of the algorithm performance will be appeared in web application system. …”
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Academic Exercise -
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Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…By using the daily observed data, ANN can map the relationship between rainfall-runoff. …”
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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat
Published 2020“…In this study, the problem of determination dengue disease factors was modeled using a neural network. The activation function in this neural network model then estimated using genetic algorithms. …”
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The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli
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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A Comparative Study of Z-Score and Min-Max Normalization for Rainfall Classification in Pekanbaru
Published 2024“…However, Z-Score Normalization, sometimes referred to as Standardization, standardizes the data by dividing by the standard deviation and subtracting the mean, maintaining the shape of the distribution and making it resistant to outliers. The findings demonstrate that applying normalization techniques effectively enhances classification performance compared to using unnormalized data. …”
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Comparison of future intensity duration frequency curve by considering the impact of climate change: case study for Kuching city
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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Rain models for the prediction of fade duration at millimeter wavelengths
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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Thesis