Search Results - (( centred learning algorithm ) OR ( century learning algorithm ))

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  1. 1

    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

    Published 2022
    “…The proposed AI algorithm integrates two deep learning models which are object detection algorithm and reinforcement learning. …”
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    Final Year Project / Dissertation / Thesis
  2. 2

    A Mininet emulation study for SDN fat tree data center sleep mode routing algorithms by Fawzi S., Din N.M.

    Published 2025
    “…In this work meta heuristic algorithm is incorporated at the SDN central controller in a fat tree-based data centre for bandwidth usage monitoring, sleep decisions and path selection using Mininet emulation. …”
    Article
  3. 3

    Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children by Yeoh, Sing Hsia

    Published 2011
    “…The advancement of technology in twenty-first century should provide more design of great learning devices. …”
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    Thesis
  4. 4

    DSC722: Research Methodology / College of Computing, Informatics and Mathematics by UiTM, College of Computing, Informatics and Mathematics

    Published 2020
    “…Students will learn innovative ways of harnessing data to transform knowledge and optimize processes in the 21st century.…”
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    Teaching Resource
  5. 5

    Machine learning classifications of multiple organ failures in a malaysian intensive care unit by Norliyana, Nor Hisham Shah, Normy Norfiza, Abdul Razak, Athirah, Abdul Razak, Asma’, Abu-Samah, Fatanah, M. Suhaimi, Ummu Kulthum, Jamaludin

    Published 2024
    “…This study aims to perform the classification of multiple organ failures using machine learning algorithms based on SOFA score. Ninety-eight ICU patients’ data were obtained retrospectively from Universiti Malaya Medical Centre for analysis. …”
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    Article
  6. 6

    Machine Learning Classifications of Multiple Organ Failures in a Malaysian Intensive Care Unit by Shah N.N.H., Razak N.N.A., Razak A.A., Abu-Samah A., Suhaimi F.M., Jamaluddin U.

    Published 2025
    “…This study demonstrates the performances of different machine learning algorithms in the classification of multiple organ failures. …”
    Article
  7. 7

    A review on learning taxonomies from Malay text corpora by Ahmad Nazri, Mohd. Zakree, Shamsuddin, Siti Mariyam, Abu Bakar, Azuraliza

    Published 2007
    “…But there are no comparative work systematically analyzing different techniques and algorithms on learning concept hierarchies from a Malay text. …”
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    Article
  8. 8

    Detecting emotions and depression through voice by Gunawan, Teddy Surya

    Published 2021
    “…A deep learning algorithm can detect emotion, including depression, using a voice signal. …”
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    Article
  9. 9

    A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

    Published 2022
    “…This paper provides an extensive review of the developments for the first two decades of the twenty-first century. Astounding results from early methods based on filtering have intrigued the community to extend these algorithms using other forms of techniques like bundle adjustment and deep learning. …”
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    Article
  10. 10

    An adaptive opposition-based learning selection: The case for jaya algorithm by Nasser, Abdullah B., Kamal Z., Zamli, Hujainah, Fadhl, Ghanem, Waheed Ali H. M., Saad, Abdul-Malik H. Y., Mohammed Alduais, Nayef Abdulwahab

    Published 2021
    “…Over the years, opposition-based Learning (OBL) technique has been proven to effectively enhance the convergence of meta-heuristic algorithms. …”
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    Article
  11. 11

    Kodepoly: an engaging approach to blended futuristic learning in coding by Abd Rahman, Norsyafrina, Azhar Amanullah, Ayn Nur Azhana

    Published 2024
    “…By combining the strategic elements of Monopoly with a curriculum comprised of coding challenges, debugging exercises, and algorithmic puzzles, Kodepoly aims to render the learning process both enjoyable and substantial in content. …”
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    Proceeding Paper
  12. 12

    Assessing the outcome of Competencies Level from Knowledge-Based Project by Sungsinlert, Anyamanee

    Published 2008
    “…Attheend, it will generate the outcome which said to be the Success Rate of the Learning process. Therefore, we shall now have the alternative way in order to provide the more accuracy assessment of the success rate , in Percentage, ofthe learning process at thelearning centre which we have chosen Halliburton Excellence Centre to be our client. …”
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    Final Year Project
  13. 13

    An evolutionary based features construction methods for data summarization approach by Rayner Alfred, Suraya Alias, Chin, Kim On

    Published 2015
    “…A data summarization approach is proposed due to its capability to learn data stored in multiple tables. In other words, this research will discuss the application of genetic algorithm to optimize the feature construction process from the Coral Reefs data to generate input data for the data summarization method called Dynamic Aggregation of Relational Attributes (DARA). …”
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    Research Report
  14. 14
  15. 15

    A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2023
    “…The first research objective is to develop a new deep learning algorithm by a hybrid of DNN and K-Means Clustering algorithms for estimating the Lorenz chaotic system. …”
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    Thesis
  16. 16

    Sequential Learning Methods on RBF with Novel Approach of Minimal Weight Update by Asirvadam , Vijanth Sagayan, McLoone, Sean

    Published 2006
    “…This paper investigates sequential learning method with new form of weight update applied on a decomposed form of training algorithms using Radial Basis Function (RBF) network. …”
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    Conference or Workshop Item
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    Bio-signal identification using simple growing RBF-network (OLACA) by Asirvadam , Vijanth Sagayan, McLoone, Sean, Palaniappan, R

    Published 2007
    “…An enhanced online adaptive centre allocation algorithms (or resource allocation network (RAN)) using simple/stochastic back-propagation method with minimal weight update variant are developed for direct-link radial basis function (DRBF) networks. …”
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    Conference or Workshop Item
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  20. 20

    Kernerlized Correlation Filters Parameters Optimization For Enhanced Visual Tracking by Ong, Chor Keat

    Published 2017
    “…In this research, the tracking is proposed by using the overlap ratio (OR) and centre location error (CLE). In our case, our target is to obtain a better accuracy, which is higher overlap ratio and lower centre location error than the result from the algorithms available in public. …”
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    Monograph