Search Results - (( knowledge visualisation using algorithm ) OR ( using optimization mead algorithm ))

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  1. 1

    A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network by Gumaida, Bassam, Abubakar, Adamu

    Published 2024
    “…This work proposes a novel and rigorous efficiency localization algorithm utilizing a simplex optimization approach for node localization. …”
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    Article
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    Single and Multiple variables control using Tree Physiology Optimization by Halim, A.H., Ismail, I.

    Published 2017
    “…This paper presents the tuning of single-input single-output (SISO), and multiple-input multiple-output (MIMO) control system using Tree Physiology Optimization (TPO). TPO is a metaheuristic optimization algorithm that has a clustered diversification search strategy inspired from plant shoots growth. …”
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    Article
  5. 5

    Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm by Ling, Kuok Fong, Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad

    Published 2023
    “…The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). …”
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    Article
  6. 6

    Improving the evaluation performance of space-time trellis code through visualisation by Harun, Harlisya, Ungku Chulan, Ungku Azmi Iskandar, Khazani, Khamizon

    Published 2011
    “…To our knowledge, although visualisation is widely used to handle a variety of problems, it has never been employed specifically to solve complexity problems that are related to generator matrix G evaluation. …”
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    Conference or Workshop Item
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    Improving the evaluation performance of space-time trellis code through STTC visualisation tool by Harun, Harlisya, Ungku Chulan, Ungku Azmi Iskandar, Khazani, Khamizon

    Published 2013
    “…To our knowledge, although visualisation is widely used to handle a variety of problems, it has never been employed specifically to solve complexity problems that are related to generator matrix G evaluation. …”
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    Article
  8. 8

    Agro-ento bioinformation: towards the edge of reality by Syed Hassan, Syed Tajuddin

    Published 2002
    “…The primers, which entrain processes, both natural and man-induced, include mechanisms such as protocols, algorithms, visualisations, and structural and visual designs. …”
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    Inaugural Lecture
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    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 time-varying coefficients of SEIRD model that best fit the real data of COVID-19 cases are obtained using the Nelder-Mead optimization algorithm. This an extended SIRD model with exposed (E) compartment becoming SEIRD, leads to a robust model. …”
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    Proceeding Paper
  11. 11

    Automated Detection and Classification of Retinal Vein Occlusion Using Ultra-widefield Retinal Fundus Images and Transfer Learning by Ivy Ong Siaw Yin, Ong

    Published 2024
    “…The approach seeks to utilise knowledge from pretraining to enhance the performance of the segmentation model. …”
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    Thesis
  12. 12

    Real-time anomaly detection using clustering in big data technologies / Riyaz Ahamed Ariyaluran Habeeb by Riyaz Ahamed , Ariyaluran Habeeb

    Published 2019
    “…Subsequently, comparative analysis to further establish the problems has been carried out via utilization of various existing algorithms which were then validated using three openly available datasets. …”
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    Thesis
  13. 13

    Predicting YSPSAH's product preferences across department of private hospitals by Abd Malik, Nur Aisyah Syahirah

    Published 2025
    “…Future enhancements could involve integrating real-time data and testing advanced forecasting algorithms to improve model performance. Overall, this project demonstrates the potential of predictive modelling and MBA to transform historical sales data into strategic knowledge, optimising procurement planning and enhancing operational efficiency in the pharmaceutical industry.…”
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    Student Project