Search Results - (( developing predictive scheduling algorithm ) OR ( java application learning algorithm ))

Refine Results
  1. 1

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
    “…New Iterative Alternating Group Explicit (NAGE) is a powerful parallel numerical algorithm for multidimensional temperature prediction. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2

    Optimalisation of a job scheduler in the grid environment by using fuzzy C-mean by Lorpunmanee, Siriluck, Abdullah, Abdul Razak

    Published 2007
    “…Simulation runs demonstrate that our algorithm leads to better results than the traditional algorithms for scheduling policies used in Grid environment.…”
    Get full text
    Article
  3. 3
  4. 4

    A static jobs scheduling for independent jobs in Grid Environment by using Fuzzy C-Mean and Genetic algorithms by Lorpunmanee, Siriluck, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan, Srinoy, Surat

    Published 2006
    “…We present a static job scheduling algorithm by using Fuzzy C-Mean and Genetic algorithms. …”
    Get full text
    Get full text
    Conference or Workshop Item
  5. 5
  6. 6

    Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris by Abubakar Auwal , Idris

    Published 2017
    “…This research proposed an optimal downlink scheduling algorithm called Video Real-Time Scheduling Algorithm (VRTSA) to support real-time traffic of video in LTE network. …”
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7

    Cache replacement algorithm using hierarchical allocation scheduling by Mohd Sharif, Mohammad Faizal

    Published 2014
    “…The core principle is to keep the relatively important instruction in cache memory from being evicted. The development of the HAS model is based on the idea of hierarchical temporal memory (HTM) developed by Numenta Inc. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

    Published 2017
    “…The proposed algorithm is evaluated using tasks scheduling in the scheduling load simulator and validated using statistical modeling. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10

    Dynamic scheduling in a multi-product manufacturing system by Hassan, Adnan, Mohd. Shaharoun, Awaluddin, Oktaviandri, Muchamad

    Published 2005
    “…The dynamics of real manufacturing system are very complex in nature. Schedules developed based on deterministic algorithms are unable to effectively deal with uncertainties in demand and capacity. …”
    Get full text
    Get full text
    Monograph
  11. 11

    Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications by Chuan, Zun Liang, Tan, Lit Ken, Wee, Angel Chi Chyin, Yim Hin, Tham, Shao, Jie Ong, Jia, Yi Low, Chong, Yeh Sai

    Published 2024
    “…In academia, this study proposed an innovative SLR-MLR predictive algorithm and utilized a novel statistical approach to evaluate and select the superior predictive algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  12. 12

    Ride with me - Ride-sharing application with opportunistic AI by Teh, Ming En

    Published 2023
    “…It applies opportunistic AI to optimise the scheduling of riders to passenger efficiently. The app is developed by using Flutter and the opportunistic AI algorithm that developed will assist in predicting the user’s daily schedule of location visit based on the user’s Google Maps’ data and thus, matching the driver and passengers intelligently. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  13. 13

    Hybrid dynamic scheduling model for flexible manufacturing system with machine availability and new job arrivals by Paslar, Shahla

    Published 2015
    “…The performance of the schedules as produced by the scheduling/rescheduling algorithms were investigated and compared. …”
    Get full text
    Get full text
    Thesis
  14. 14
  15. 15

    Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems by Salman, Mustafa Ismael

    Published 2015
    “…Consequently, a modified downlink scheduler based on a Packet Prediction Mechanism (PPM) is conducted at the eNodeB. …”
    Get full text
    Get full text
    Thesis
  16. 16
  17. 17

    Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning by Baharadin, Hazirah

    Published 2019
    “…The purpose of this project is to develop a predictive analysis system of Remaining Useful Life (RUL) in refinery. …”
    Get full text
    Get full text
    Final Year Project
  18. 18

    Optimal Maintenance Scheduling for Multi-Component E-Manufacturing System by Arab, Ali

    Published 2009
    “…In this research a method of enhanced maintenance scheduling of multi-component e-Manufacturing systems has been developed. …”
    Get full text
    Get full text
    Thesis
  19. 19
  20. 20

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item