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  1. 1

    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

    Published 2017
    “…To evaluate the hybrid algorithm, optimization of hydro-power energy of Karun dams were considered. …”
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    Thesis
  2. 2

    A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed by Nabi, Amjad

    Published 1998
    “…A procedure for estimating the impact of CO2-induced climate and vegetation changes on actual evapotranspiration (ET), soil moisture and water yield in a humidtropical vegetated watershed was proposed and evaluated. A distributed parameter modelling approach was used whereby a watershed was subdivided into relatively homogeneous ground response units (GRUs) to provide distributed parameter capabilities. …”
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    Thesis
  3. 3

    Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi by Sherksi, Nasereddin Ibrahim

    Published 2020
    “…All water distribution networks suffer from leaks and the amount of leakage widely varies between countries and regions within a country. …”
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    Thesis
  4. 4

    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

    Published 2016
    “…Algorithmic level based methods however are based on introducing new optimization task to improve the minority class classification rate, without changing the data characteristics. …”
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    Thesis
  5. 5

    SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid by Khalid, Khairi

    Published 2017
    “…SWAT-CUP, which links SUFI-2 algorithm to SWAT models, has been utilized in the study for the calibration of SWAT models. …”
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    Thesis
  6. 6

    Shear strength test on unsaturated soil using natural microscopic surface tension force / Basharudin Abdul Hadi by Abdul Hadi, Basharudin

    Published 2017
    “…SWAT-CUP, which links SUFI-2 algorithm to SWAT models, has been utilized in the study for the calibration of SWAT models. …”
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    Book Section
  7. 7

    Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

    Published 2018
    “…Historically, landslide occurrences are usually mapped by taking inventory of location and magnitude of the landslide in a region. This information is used to examine and manage slope failures and distributions effectively. …”
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    Thesis
  8. 8

    The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers by Zhang, Xiaolei, Iqbal bin Saripan, M., Wu, Yanjun, Wang, Zhongxiao, Wen, Dong, Cao, Zhendong, Wang, Bingzhen, Xu, Shiqi, Liu, Yanli, Marhaban, Mohammad Hamiruce, Dong, Xianling

    Published 2024
    “…The radiomic features extracted from the rubber and resin-filled regions in the cartridges were labeled into different categories for evaluating the performance of the machine learning model. …”
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    Article
  9. 9

    SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid by Khalid, Khairi

    Published 2017
    “…SWAT-CUP, which links SUFI-2 algorithm to SWAT models, has been utilized in the study for the calibration of SWAT models.…”
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    Book Section
  10. 10

    Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features by Khalid, Fatimah, Amjeed, Noor, O.K. Wirza, Rahmita Wirza, Madzin, Hizmawati, Azizan, Illiana

    Published 2020
    “…It happens when various images are available for the same person with different length face-to-camera distances due to the appearance of varying facial features of the same person. Therefore, this study proposed to combine the strength normalization and feature-based method to build an illumination distribution model to overcome this problem. …”
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    Article
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  12. 12

    Termite mounds morphometry in predicting groundwater potentiality using geospatial technology by Bala, Ahmed Jamilu

    Published 2020
    “…This hypothesis is however, yet to be scientifically substantiated. The aim of this study therefore, is to develop a groundwater potential model in Geographical Information System (GIS) and evaluate the prospect of termite mounds in predicting suitable zones for groundwater development. …”
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    Thesis
  13. 13

    Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour by Neyamadpour, Ahmad

    Published 2010
    “…These results show that,for all the arrays (2D and 3D) except 3D pole - dipole data, resilient propagation is the most efficient algorithm for training the DC resistivity data. In the case of 3D study of pole - dipole data, the gradient descent with momentum and an adaptive learning rate algorithm is found to be the most efficient paradigm. …”
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    Thesis
  14. 14

    Islanding detection in grid-connected photovoltaic distributed generation using inverter DC-Link voltage by Kumo, Mohammed Saidu

    Published 2017
    “…For the study, a detailed model of 100 kW, 480V, gridconnected PV DG is implemented in MATLAB/Simulink. …”
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    Thesis
  15. 15

    Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

    Published 2022
    “…This was done through the Bayesian weight assignments to combine the favourable traits of the individual models. However, the BMA algorithm was found to be rigid as it was results-oriented and might opt to omit some base models if their performance were significantly poorer than the others. …”
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    Final Year Project / Dissertation / Thesis
  16. 16

    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

    Published 2022
    “…This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.…”
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    Article
  17. 17

    A method for computation of surface roughness of digital elevation model terrains via multiscale analysis by Ahmad Fadzil, Mohamad Hani, Sathyamoorthy, Dinesh, Asirvadam, Vijanth Sagayan

    Published 2010
    “…Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. …”
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    Article
  18. 18

    A method for computation of surface roughness of digital elevation model terrains via multiscale analysis by Mohd Hani, Ahmad Fadzil, Sathyamoorthy, Dinesh, Asirvadam , Vijanth Sagayan

    Published 2010
    “…Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. …”
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    Article
  19. 19

    Development of lung cancer prediction system using meta-heuristic optimized deep learning model by Mohamed Shakeel, Pethuraj

    Published 2023
    “…The algorithm detects the affected region depending on pixel similarity computation process. …”
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    Thesis
  20. 20

    Using Bimodal Gaussian Mixture Model-Based Algorithm for Background Segmentation in Thermal Fever Mass Screening by Siti Sofiah, Mohd Radzi, Kamarul Hawari, Ghazali, Nazriyah, Che Zan, Faradila, Naim

    Published 2011
    “…To estimate the bi - modal background-foreground distribution mixture parameters, Expectation-Maximization (EM) algorithm is applied and the images are clustered statistically and linearly. …”
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    Conference or Workshop Item