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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    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”. …”
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  2. 2
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

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

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  3. 3
    Green scheduling algorithm for a computational grid environment

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

    Published 2016
    “…The experimental results significantly showed that the proposed green scheduling algorithm was able to save the consumption of cooling load by 22.02 in DC's server room. …”
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  4. 4
    The current practices of green computing approaches in Malaysia

    The current practices of green computing approaches in Malaysia by Ahmaro I.Y.Y., Bin Mohd Yusoff M.Z., Abualkishik A.M.

    Published 2023
    “…Internet; Internet telephony; Telecommuting; Voice/data communication systems; Algorithmic efficiencies; Current practices; Green computing; IT industry; Malaysia; Malaysian IT industry; Online surveys; Voice over Internet protocol; Internet protocols…”
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  5. 5
    Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry

    Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry by Chaudhry, Muhammad Tayyab

    Published 2015
    “…Data centers can go green by saving electricity in two major areas: computing and cooling. …”
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  6. 6
    A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres

    A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres by Atiewi S., Yussof S., Rusli M.E.B., Zalloum M.

    Published 2023
    “…Cloud computing; Costs; Dynamic frequency scaling; Electric power utilization; Energy efficiency; Energy utilization; Infrastructure as a service (IaaS); Network security; Quality of service; User interfaces; Virtual machine; Voltage scaling; Cloud computing environments; Data centres; DVFS; Dynamic voltage frequency scaling; Energy-Efficient Scheduling; Low energy consumption; Reduce energy consumption; Task-scheduling algorithms; Green computing…”
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  7. 7
    A comparative analysis of task scheduling algorithms of virtual machines in cloud environment

    A comparative analysis of task scheduling algorithms of virtual machines in cloud environment by Atiewi S., Yussof S., Ezanee M.

    Published 2023
    “…In this study, an experimental comparative study is carried out among three task scheduling algorithms in cloud computing, namely, random resource selection, round robin and green scheduler. …”
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  8. 8
    Empowering cloud providers: optimised locust-inspired algorithm for SLA violation mitigation in green cloud computing

    Empowering cloud providers: optimised locust-inspired algorithm for SLA violation mitigation in green cloud computing by Alsaaidah, Yousef A., Muhammed, Abdullah, Ala’anzy, Mohammed Alaa, Othman, Mohamed, Abdullah, Azizol

    Published 2025
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  9. 9
    Software reusability in green computing / Ibraheem Y. Y. Ahmaro

    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. …”
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  10. 10
    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

    Published 2019
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  11. 11
    INCENTIVE-SCHEDULING ALGORITHMS TO PROVIDE GREEN COMPUTATIONAL DATA CENTER

    INCENTIVE-SCHEDULING ALGORITHMS TO PROVIDE GREEN COMPUTATIONAL DATA CENTER by HARUNA, AHMED ABBA

    Published 2017
    “…The increased of computational loads in grid servers are dissipating more heat and eventually amplifies the cooling demand in Data Center (DC), and at the same time lead to more submitted jobs missing their job completion deadlines. …”
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  12. 12
    Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence

    Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence by Doolun, Ian Shivraj, Ponnambalam, S. G., Subramanian, Nachiappan, Kanagaraj, G.

    Published 2018
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  13. 13
    Analysis and modeling of database storage optimization power consumption usage for green data centers

    Analysis and modeling of database storage optimization power consumption usage for green data centers by Wan Noor Hamiza, Wan Ali

    Published 2014
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  14. 14
    A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption

    A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption by Haruna, Chiroma, Abdullahi, Usman Ali, Targio Hashem, Ibrahim Abaker, Saadi, Younes, Al-Dabbagh, Rawaa Dawoud, Ahmad, Muhammad Murtala, Emmanuel Dada, Gbenga, Danjuma, Sani, Maitama, Jaafar Zubairu, Abubakar, Adamu, Abdulhamid, Shafi’i Muhammad

    Published 2019
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  15. 15
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  16. 16
    Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen

    Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen by Shawkat S.A., Tuama B.A., Al-Barazanchi I.

    Published 2023
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  17. 17
    A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers

    A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers by Anthony, Bokolo Jnr., Mazlina, Abdul Majid, Awanis, Romli

    Published 2018
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  18. 18
    Statistical approach toward achieving green cloud computing in virtualized single server environment / Mohd Badrulhisham Ismail

    Statistical approach toward achieving green cloud computing in virtualized single server environment / Mohd Badrulhisham Ismail by Ismail, Mohd Badrulhisham

    Published 2020
    “…In addition to that, load balancing optimisation was proven to be able to achieve green cloud computing with low power consumption where the best load balancing is MU/LRR. …”
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  19. 19
    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

    Published 2019
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  20. 20
    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

    Published 2019
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