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  1. 1

    Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) Approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie by Mohd Junaidi, Muhammad Athir, Mohd Shafie, Siti Aishah

    Published 2023
    “…Hence, many forecasting methods have been developed to produce accurate predicted values. Inflation rates provide appropriate and timely information about the trend changes, which affect the economy of Malaysia because of the different uses in many ways. …”
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  2. 2

    Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie by Mohd Junaidi, Muhammad Athir, Mohd Shafie, Siti Aishah

    Published 2023
    “…Hence, many forecasting methods have been developed to produce accurate predicted values. Inflation rates provide appropriate and timely information about the trend changes, which affect the economy of Malaysia because of the different uses in many ways. …”
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    Book Section
  3. 3

    A multi-period scheduling of dynamic cellular manufacturing systems in the presence of cost uncertainty by Delgoshaei, Aidin, Ali, Ahad, Ariffin, Mohd Khairol Anuar, Gomes, Chandima

    Published 2016
    “…The aim is finding the trade-off values between in-house manufacturing and using outsource services while system costs are not deterministic and may be varied from period to period by inflation. To solve the model, a hybrid genetic and simulated annealing algorithms is developed because of the high potential of outcomes to be trapped in the local optima. …”
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    Article
  4. 4

    All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.] by Chiau Ming, Long, Karuppannan, Mahmathi, Abdul Wahab, Izyan, Abd Wahab, Mohd Shahezwan, Zulkifly, Hanis Hanum

    Published 2014
    “…Values obtained from this algorithm are used in peer reviews to verify the validity of reporter’s conclusion regarding ADRs. …”
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  5. 5

    Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

    Published 2022
    “…Unmanned aerial vehicles (UAVs) may address these issues. Machine learning algorithms (MLs) can predict rice biomass from UAV-based vegetation indices (VIs). …”
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    Thesis