Search Results - (( variable interaction patterns algorithm ) OR ( parameter optimization mead algorithm ))

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    Single and Multiple variables control using Tree Physiology Optimization by Halim, A.H., Ismail, I.

    Published 2017
    “…In the proposed method, each shoot from each branch search for possible solution in parallel and the fitness is evaluated based on all best values found by branch search. The proposed algorithm is also compared with deterministic gradient-free algorithm: Nelder-Mead simplex (NMS) and another metaheuristic algorithm: Particle Swarm Optimization (PSO). …”
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    Article
  3. 3

    Modelling transmission dynamics of covid-19 during Pre-vaccination period in Malaysia: a predictive guiseird model using streamlit by Zulkarnain, Norsyahidah, Abdul Hadi, Muhammad Salihi, Mohammad, Nurul Farahain, Shogar, Ibrahim

    Published 2023
    “…The mathematical model is solved using Scipy odeint function, which uses Livermore Solver for Ordinary Differential Equations with an Automatic method switching (LSODA) algorithm. The time-varying coefficients of SEIRD model that best fit the real data of COVID-19 cases are obtained using the Nelder-Mead optimization algorithm. …”
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    Proceeding Paper
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    Sales prediction of religious product and services of Mutawwif Haramain Travel & Tours using predictive analytics by Mohd Sabri, Nurul Ainin Qistina

    Published 2025
    “…This research develops a predictive model for sales prediction at Mutawwif Haramain Travel & Tours, utilizing machine learning algorithms, specifically Decision Tree, Random Forest, and Naive Bayes, to uncover patterns in customer behavior and seasonal demand. …”
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    Student Project
  6. 6

    Agent-Based Model of Virtual Community Cohesion (S/O: 13443) by Yusop, Nor Iadah, Mat Aji, Zahurin, Ab. Aziz, Azizi, Md Dahalin, Zulkhairi

    Published 2021
    “…Also, it is shown that agents' behaviour based on individual attributes can reduce the variability of cohesion levels. This result can be explained by the fact that virtual community cohesion is based on the perceived experiences, trust, participation and interactions by all community members. …”
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    Monograph
  7. 7

    Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration by Althuwaynee, Omar F., Pradhan, Biswajeet, Ahmad, Noordin

    Published 2014
    “…This article uses methodology based on chi-squared automatic interaction detection (CHAID), as a multivariate method that has an automatic classification capacity to analyse large numbers of landslide conditioning factors. …”
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    Conference or Workshop Item
  8. 8

    Flood prediction model for Kuala Terengganu area using predictive analytics by Mohd Zamri, Najwa An-Nisa

    Published 2025
    “…Future enhancements may involve expanding coverage to additional districts and incorporating larger scale datasets and environmental variables to see more patterns.…”
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    Student Project
  9. 9

    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
    “…In a later stage of this project, we could quantify the risk factors for ADR and drug interaction and develop a predictive model which links drug interaction with ADR.…”
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    Book Section
  10. 10

    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients by Moghbel, Mehrdad

    Published 2017
    “…Although many methods have been proposed, this segmentation remains a challenging task due to the lack of visible edges on most boundaries of the liver coupled with high variability of both intensity patterns and anatomical appearances in pathological livers. …”
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    Thesis
  11. 11

    Development of a simulation-based decision support model for high precision component manufacturer by Gan, Sin Yi

    Published 2013
    “…Moreover, the use of simulation enables the study and investigation of the interactive effect of individual components or variables. …”
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    Thesis