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  1. 1

    Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa... by Misnan, Mohamad Farid

    Published 2018
    “…All implemented techniques were processed simultaneously on embedded controller of the customized UAV to get real-time processed image and mapping data. …”
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    Thesis
  2. 2

    Intelligent Sensor Data Pre-processing Using Continuous Restricted Boltzmann Machine by Suhaimi, Emil Zaidan

    Published 2007
    “…The ability ofCRBM to model any given data set is shown by training the CRBM on various data sets reflecting real-world data. …”
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    Final Year Project
  3. 3

    Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa... by Misnan, Mohamad Farid

    Published 2018
    “…All implemented techniques were processed simultaneously on embedded controller of the customized UAV to get real-time processed image and mapping data. …”
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    Book Section
  4. 4

    An improved synthetic data generation for rice yield prediction model by Umana, Muhammad Khalifa

    Published 2025
    “…The research proves that SCEG can create a strong synthetic dataset and enhance real-world data, with a more precise and dependable model for predicting rice output. …”
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    Thesis
  5. 5

    Design of intelligent control system and its application on fabricated conveyor belt grain dryer by Lutfy, Omar F.

    Published 2011
    “…The grain drying process is one of the most critical post-harvest operations in modern agricultural production. …”
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    Thesis
  6. 6

    Data pre-processing for cardiovascular disease classification: A systematic literature review by Irfan Javid, Irfan Javid, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

    Published 2023
    “…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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    Article
  7. 7

    Data pre-processing for cardiovascular disease classification: A systematic literature review by Irfan Javid, Irfan Javid, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

    Published 2023
    “…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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    Article
  8. 8

    Data pre-processing for cardiovascular disease classification: A systematic literature review by Irfan Javid, Irfan Javid, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

    Published 2023
    “…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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    Article
  9. 9

    Data pre-processing for cardiovascular disease classification: A systematic literature review by Javid, Irfan, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

    Published 2023
    “…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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    Article
  10. 10

    Data pre-processing for cardiovascular disease classification: A systematic literature review by Javid, Irfan, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

    Published 2023
    “…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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    Article
  11. 11

    The directs impact to pre-filtering process to weather dataset by Al-Zyadat, Wa'el Jum'ah, Atan, Rodziah, Ibrahim, Hamidah, Azmi Murad, Masrah Azrifah

    Published 2011
    “…Monitoring through of data near real-time (dynamic data), in this paper, we address the issue of efficiently monitoring the satisfaction of sequential process to receive on the way to data storage. …”
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    Article
  12. 12

    Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream by Abdulateef, Alaa Fareed

    Published 2023
    “…Clustering, known for its versatility in real-time data stream processing and independence from labeled instances, is a suitable method for analyzing evolving data streams. …”
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    Thesis
  13. 13

    Development of Water Management Programme for the Tanjung Karang Rice Irrigation Project Using Geographic Information System (GIS) by Khatun, Abeda

    Published 2000
    “…In contributing to the process of decision making the irrigation personnel needs to understand the rainfall pattern and irrigation water demand of the whole system. …”
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    Thesis
  14. 14

    An efficient real-time terrain data organization and visualization algorithm based on enhanced triangle-based level of detail technique by Zamri, Muhamad Najib

    Published 2006
    “…According to the results obtained during the pre-processing, the partitioning of digital elevation data into tiles has successfully reduced the data size although it required a longer processing time. …”
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    Thesis
  15. 15

    Wireless Smart Sensor Network for Flood Management Optimization by Alfarra, Hossam Adden, Alsibai, Mohammad Hayyan

    Published 2017
    “…This pre-processing step is to improve the reliability,data quality and transmission quality. …”
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    Article
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    A partition based feature selection approach for mixed data clustering / Ashish Dutt by Ashish , Dutt

    Published 2020
    “…One such pre-processing algorithm in EDM is clustering. It is a widely used method in data mining to discover unique patterns in underlying data. …”
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    Thesis
  19. 19

    Log Mining Using Generalized Association Rules by Mohd. Helmy, Abd. Wahab

    Published 2004
    “…The process extracts high quality information that can be used to draw conclusions based on relationships or patterns within the data. …”
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    Thesis
  20. 20

    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin by Ahmad, Khairul Azman, Mohd Noor, Mohd Halim, Mohamad Idin, Mohamad Adha

    Published 2011
    “…There are four major steps in a background subtraction algorithm, which are pre-processing, background modeling, foreground detection, and data validation. …”
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    Research Reports