Search Results - (((("pattern mining algorithm") OR ("patterns using algorithm"))) OR ("self learning algorithm"))*

  • Showing 1 - 12 results of 12
Refine Results
  1. 1
  2. 2
  3. 3
  4. 4

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In this thesis the research of a self-learning algorithm will be presented, outlined and discussed in detailed manner. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Sequential pattern mining on library transaction data by Sitanggang, Imas Sukaesih, Husin, Nor Azura, Agustina, Anita, Mahmoodian, Naghmeh

    Published 2010
    “…This paper presents results of the work in applying the sequential pattern mining algorithm namely AprioriAll on a library transaction dataset. …”
    Get full text
    Get full text
    Conference or Workshop Item
  6. 6

    Education in the Era of IR 4.0 by Hasnah, Haron

    Published 2018
    “…IR 4.0 also known as the ‘digital revolution’: combines technological and human capacities in an unprecedented way through self- learning algorithms, self-driving cars, human–machine interconnection and big-data analytics.…”
    Get full text
    Get full text
    Conference or Workshop Item
  7. 7

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Dhany, Saputra

    Published 2008
    “…A comprehensive performance study has been reported that PrefixSpan, one of the sequential pattern mining algorithms, outperforms GSP, SPADE, as well as FreeSpan in most cases, and PrefixSpan integrated with pseudoprojection technique is the fastest among those tested algorithms. …”
    Get full text
    Thesis
  8. 8

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
    “…A comprehensive performance study has been reported that PrefixSpan, one of the sequential pattern mining algorithms, outperforms GSP, SPADE, as well as FreeSpan in most cases, and PrefixSpan integrated with pseudoprojection technique is the fastest among those tested algorithms. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Two-wheel balancing robot; review on control methods and experiments by Mohd Romlay, Mohamad Rabani, Mohd. Ibrahim, Azhar, Toha, Siti Fauziah, Rashid, Muhammad Mahbubur

    Published 2019
    “…This article intended to address the control methods of balancing two-wheeled mobile robot from linear controller, non-linear controller and adapting and self-learning algorithm. The focus of the review will be the evaluation and experiment done on two-wheel mobile robot. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Advancements and challenges in mobile robot navigation: a comprehensive review of algorithms and potential for self-learning approaches by Al Mahmud, Suaib, Kamarulariffin, Abdurrahman, Mohd Ibrahim, Azhar, Haja Mohideen, Ahmad Jazlan

    Published 2024
    “…The findings suggest that, even though the self-learning algorithms require huge amounts of training data and have the possibility of learning erroneous behavior, they possess huge potential to overcome challenges rarely addressed by the other traditional algorithms. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    Optimisation of fed-batch fermentation process using deep reinforcement learning by Chai, Wan Ying

    Published 2023
    “…Deep reinforcement learning is a self-learning algorithm through trial and error and experience, without any prior knowledge. …”
    Get full text
    Get full text
    Get full text
    Thesis
  12. 12

    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

    Published 2015
    “…The selection is based on the user preferences since it uses a self-learning algorithm to determine triggers and handover thresholds dynamically. …”
    Get full text
    Get full text
    Thesis