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  1. 1

    Mobile data gathering algorithms for wireless sensor networks by Ghaleb, Mukhtar Mahmoud Yahya

    Published 2014
    “…In this algorithm, the user has to tune an appropriate variable which directly affects the power consumption and the data gathering latency. …”
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    Thesis
  2. 2

    Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detecti... by Mohd Sayud, Nur Asikin

    Published 2018
    “…In ArcGlS software, DEM data will be process by using terrain roughness model that has been derived by using Slope Variability algorithm. …”
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    Thesis
  3. 3

    Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea by Sim, Doreen Ying Ying

    Published 2018
    “…The parameters involved in the prediction algorithms developed are based on common OSA risk factors and visual-inspected variables found in the patients’ records in the OSA datasets collected. …”
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    Thesis
  4. 4

    Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool by Obada , M. A. Asqool

    Published 2022
    “…Therefore, this study aims to investigate the best algorithm for data filtration and how to use it to obtain accurate data for measuring TTR. …”
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    Thesis
  5. 5

    Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models by Hilal, Yousif Yakoub

    Published 2019
    “…Data were collected from Peninsular Malaysia, Sabah and Sarawak over a period of 11 years (annual data from 2005 to 2015). …”
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    Thesis
  6. 6

    Penalized Quantile Regression Methods And Empirical Mode Decomposition For Improving The Accuracy Of The Model Selection by Ambark, Ali Saleh Al-Massri

    Published 2024
    “…The EMD algorithm decomposes the non-stationary and non-linear time series data into a finite collection of approximately orthogonal components called intrinsic mode functions and residual components. …”
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    Thesis
  7. 7

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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    Thesis
  8. 8

    Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms by Afzal, Asif, Alshahrani, Saad, Alrobaian, Abdulrahman, Buradi, Abdulrajak, Khan, Sher Afghan

    Published 2021
    “…It is concluded that these algorithms are suitable for predicting sensitive output energy data of a CCPP depending on thermal input variables.…”
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    Article
  9. 9

    DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS by MUHAMMAD AMIR AFIQ, MOHAMED

    Published 2018
    “…The data that have been collected will be sent to the cloud storage which is Thingspeak channel. …”
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    Final Year Project Report / IMRAD
  10. 10

    An efficient algorithm to discover large and frequent itemset in high dimensional data by Zulkurnain, Nurul Fariza

    Published 2019
    “…The current trend of data collection involves a small number of observations with a very large number of variables, known as high dimensional data. …”
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    Monograph
  11. 11

    Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis by Kartiwi, Mira, Ab Rahman, Jamalludin, Nik Mohamed, Mohamad Haniki, Draman, Samsul, Ab Rahman, Norny Syafinaz

    Published 2017
    “…Methods: The dataset was extracted from the National Electronic Cigarette Survey (NECS) 2016.A total of 4,288 responses were collected. The collected data was used to build and verified the model. …”
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    Article
  12. 12

    Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour by Jan, Ketil Arnulf, Kai, Rune Larsen, Øyvind, Lund Martinsen, Bong, Chih How

    Published 2014
    “…Some disciplines in the social sciences rely heavily on collecting survey responses to detect empirical relationships among variables. …”
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    Article
  13. 13

    Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

    Published 2023
    “…Findings This research makes two key observations. Firstly, an algorithm with good performance metrics over a small data set collection may obtain worse results when the data set collection is extended. …”
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    Book Section
  14. 14

    Feature selection methods for optimizing clinicopathologic input variables in oral cancer prognosis by Chang, S.W., Kareem, S.A., Kallarakkal, A.F., Merican, A.F., Abraham, M.T., Zain, R.B.

    Published 2011
    “…The objective is to reduce the number of input variables, thus to identify the key clinicopathologic (input) variables of oral cancer prognosis based on the data collected in the Malaysian scenario. …”
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    Article
  15. 15

    Solving the vehicle routing problem with stochastic demands via hybrid genetic algorithm-tabu search by Ismail, Zuhaimy, Irhamah, Irhamah

    Published 2008
    “…The relative performance of the proposed HGATS is compared to each GA and TS alone, on a set of randomly generated problems following some discrete probability distributions. The problem data are inspired by real case of VRPSD in waste collection. …”
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    Article
  16. 16

    Monthly rainfall prediction model of Peninsular Malaysia Using Clonal Selection Algorithm by Rodi N.S.N., Malek M.A., Ismail A.R.

    Published 2023
    “…The high values of similarity percentage obtained between simulated and actual rainfall data in this study, reinforced the hypothesis that CSA is suitable to be used for prediction of continuous time series data such as monthly rainfall data which highly variable in nature. …”
    Article
  17. 17

    A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST by BAHARUDIN, ZUHAIRI

    Published 2010
    “…In this thesis, a new AR algorithm especially designed for long data records as a solution to STLF problem is proposed. …”
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    Thesis
  18. 18

    A case study on quality of sleep and health using Bayesian networks by Hong , Choon Ong, Chiew , Seng Lee, Chye , Ching Sia

    Published 2012
    “…A total of 1316 sets of data are collected with 20 variables of interest being studied. …”
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    Article
  19. 19

    Optimum Power Production of Small Hydropower Plant (SHP) Using Firefly Algorithm (FA) in Himreen Lake Dam (HLD), Eastern Iraq by Hammid, Ali Thaeer, M. H., Sulaiman, Kadhim, Atheer A.

    Published 2017
    “…The variables mentioned are net turbine head, rate of water flow and power production which had been gathered in the data during a research throughout a 10-year period. …”
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    Article
  20. 20

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Data collected were used for the multilevel analysis, Markov Chain Monte Carlo (MCMC) simulation via WinBUGS algorithm and influence diagrams for BBNs. …”
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    Thesis