Search Results - (( developing green computing algorithm ) OR ( java application tree algorithm ))

Refine Results
  1. 1
  2. 2

    Green scheduling algorithm for a computational grid environment by Haruna, A.A., Jung, L.T., Zakaria, M.N., Haron, N.S.

    Published 2016
    “…Recently, the increasing demand for computing has led to the development of computational grids. …”
    Get full text
    Get full text
    Conference or Workshop Item
  3. 3

    System Monitoring Tools Version 2.0 (SMTv2) green computing (power management) / Nurul Amira Binti Tahir by Tahir, Nurul Amira

    Published 2013
    “…To support green computing practices, the System Monitoring Tools version one has been developed which is used to monitor the heat releases from the server. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Software reusability in green computing / Ibraheem Y. Y. Ahmaro by Y. Y. Ahmaro, Ibraheem

    Published 2013
    “…Although most green computing initiatives have concentrated on innovating hardware, little attention has been paid to the software aspect and how it can enhance green computing. …”
    Get full text
    Get full text
    Thesis
  6. 6
  7. 7

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8
  9. 9

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10
  11. 11

    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
    Get full text
    Get full text
    Get full text
    Article
  12. 12

    Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm by Rahman, Imran, Vasant, Pandian, Mahinder Singh, Balbir Singh, Abdullah-Al-Wadud, M.

    Published 2014
    “…Recent researches towards the use of green technologies to reduce pollution and increase penetration of renewable energy sources in the transportation sector are gaining popularity. …”
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13
  14. 14
  15. 15
  16. 16

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18
  19. 19
  20. 20