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  1. 1
    An enhancement of sliding window algorithm for rainfall forecasting

    An enhancement of sliding window algorithm for rainfall forecasting by Azahar, Siti Nor Fathihah, Othman, Mahmod, Saian, Rizauddin

    Published 2017
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  2. 2
    MODELLING ANALYSIS FOR ACCURATE TROPICAL WEATHER FORECASTING

    MODELLING ANALYSIS FOR ACCURATE TROPICAL WEATHER FORECASTING by Calvin, Wong Qin Jie

    Published 2023
    “…One of the most difficult aspects of weather forecasting is tropical weather forecasting. Rainfall prediction is to forecast the rainfall at a specific location with the use of science and technology. …”
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    Final Year Project Report / IMRAD
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  3. 3
    Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment

    Rainfall-funoff modelling in batang layar and oya sub-catchments using pre-developed ann model for tinjar catchment by Awangku Faizal Sallehin, Awangku Brahim

    Published 2009
    “…Artificial Neural Network (ANN) has been widely used to forecast Rainfall-Runoff relationships. Many ANN has been developed by experts in order to forecast RainfallRunoff relationships in certain catchment. …”
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    Final Year Project Report / IMRAD
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  4. 4
    Daily Rainfall Forecasting Using Meteorology Data with Long Short-Term Memory (LSTM) Network

    Daily Rainfall Forecasting Using Meteorology Data with Long Short-Term Memory (LSTM) Network by Soo See, Chai, Goh, Kok Luong

    Published 2022
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  5. 5
    Daily rainfall prediction using clonal selection algorithm

    Daily rainfall prediction using clonal selection algorithm by Noor Rodi, Nur Syazwani, Ismail , Amelia Ritahani, Abdul Malik, Marlinda

    Published 2012
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    Proceeding Paper
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  6. 6
    A clonal selection algorithm model for daily rainfall data prediction

    A clonal selection algorithm model for daily rainfall data prediction by Noor Rodi, Nur Syazwani, Abdul Malik, Marlinda, Sie Chun, Ting, Ismail , Amelia Ritahani, Tang, Chao-Wei

    Published 2014
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  7. 7
    Investigation of Multimodel Ensemble Performance Using Machine Learning Method for Operational Dam Safety

    Investigation of Multimodel Ensemble Performance Using Machine Learning Method for Operational Dam Safety by Basri H., Marufuzzaman M., Mohd Sidek L., Ismail N.

    Published 2023
    “…Hence, consideration of the development of more flexible inflow forecasting systems is needed. These will not be based on a single substantive rainfall-runoff model, but efficient utilization of the synchronous flow forecasts from several substantive rainfall-runoff models, each having different strengths and weaknesses, to produce improved forecasts. …”
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  8. 8
    Neural network application in the change of reservoir water level stage forecasting

    Neural network application in the change of reservoir water level stage forecasting by Ashaary, Nur Athirah, Wan Ishak, Wan Hussain, Ku-Mahamud, Ku Ruhana

    Published 2015
    “…Artificial Neural Network is one of the computational algorithms that can be applied in developing a forecasting model for the change of reservoir water level stage.Forecasting of the change of reservoir water level stage is vital as the change of the reservoir water level can affect the reservoir operator’s decision.The decision of water release is very critical in both flood and drought seasons where the reservoir should maintain high volume of water during less rainfall and enough space for incoming heavy rainfall. …”
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  9. 9
    Development of trees management system using radial basis function neural network for rain forecast

    Development of trees management system using radial basis function neural network for rain forecast by Auzani, Hasnul, Hashim, Khairusy Syakirin Has-Yun, Mohd Nazri, Farah Aniza

    Published 2021
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  10. 10
    Rainfall modeling using two different neural networks improved by metaheuristic algorithms

    Rainfall modeling using two different neural networks improved by metaheuristic algorithms by Sammen S.S., Kisi O., Ehteram M., El-Shafie A., Al-Ansari N., Ghorbani M.A., Bhat S.A., Ahmed A.N., Shahid S.

    Published 2024
    “…The results indicated that the MLP�HGSO performed better than the other models in forecasting rainfall at both stations. In addition, transition matrices were computed for each station and year based on the conditional probability of rainfall or absence of rainfall on a given month. …”
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  11. 11
    Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins

    Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins by Sidek L.M., Basri H., Marufuzzaman M., Deros A.M., Osman S., Hassan F.A.

    Published 2024
    “…To forecast unexpected flood occurrences, faster flood prediction necessitates computational prediction models such as Machine Learning (ML) algorithms, which are extensively utilized around the world. …”
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  12. 12
    A review of deep learning and machine learning techniques for hydrological inflow forecasting

    A review of deep learning and machine learning techniques for hydrological inflow forecasting by Latif S.D., Ahmed A.N.

    Published 2024
    “…Conventional machine learning models have been widely used for reservoir inflow and rainfall prediction. Nowadays, researchers focus on a new computing architecture in the area of AI, namely, deep learning for hydrological forecasting parameters. …”
    Review
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  13. 13
    A performance analysis of association rule mining algorithms

    A performance analysis of association rule mining algorithms by Fageeri, S.O., Ahmad, R., Alhussian, H.

    Published 2016
    “…In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. …”
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  14. 14
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…We hyave used the CPU profiler of Oracle JavaTM VisualVM to monitor the execution of LRE-TL as well as USG algorithms. …”
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  15. 15
    Efficient Model for Waste Load and Route Optimization

    Efficient Model for Waste Load and Route Optimization by Achmad, Nopransyah, Tri Basuki, Kurniawan, Misinem, ., Muhammad Izman, Herdiansyah, Edi Surya, Negara

    Published 2024
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  16. 16
    Application of computational intelligence methods in modelling river flow prediction: A review

    Application of computational intelligence methods in modelling river flow prediction: A review by Zaini N., Malek M.A., Yusoff M.

    Published 2023
    Conference Paper
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  17. 17
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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    Final Year Project / Dissertation / Thesis
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  18. 18
    Early prediction of dengue outbreak using Artificial Neural Network (ANN) / Muhammad Sirajuddin Ismail

    Early prediction of dengue outbreak using Artificial Neural Network (ANN) / Muhammad Sirajuddin Ismail by Ismail, Muhammad Sirajuddin

    Published 2024
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    Thesis
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  19. 19
    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques

    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

    Published 2007
    “…The models consists of 9 inputs (previous last five-day reservoir inflow and last four-day average rainfall across the catchment) and are able to forecast the next day inflow into the reservoir. …”
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  20. 20
    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin

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

    Published 2019
    “…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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