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  1. 1
    An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers

    An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers by Ibrahim, Huda, Aburukba, Raafat O., El-Fakih, Khaled

    Published 2018
    “…This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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  2. 2
    Minimum completion time for power-aware scheduling in cloud computing

    Minimum completion time for power-aware scheduling in cloud computing by Mehdi, Nawfal A., Mamat, Ali, Aljuboori, Ali A.Alwan, Ziyad, Abdul-Mehdi

    Published 2012
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  3. 3
    Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers

    Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers by Khoshkholghi, Mohammad Ali, Derahman, Mohd Noor, Abdullah, Azizol, Subramaniam, Shamala, Othman, Mohamed

    Published 2017
    “…In this paper, several novel algorithms are proposed for the dynamic consolidation of VMs in cloud data centers. …”
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  4. 4
    Honey bee based trust management system for cloud computing

    Honey bee based trust management system for cloud computing by Firdhous, Mohamed, Ghazali, Osman, Hassan, Suhaidi, Harun, Nor Ziadah, Abas, Azizi

    Published 2011
    “…In this paper, the authors propose the concept that honey bee algorithm which has been developed to solve complex optimization problems can be successfully used to address this issue.The authors have taken a closer look at the optimization problems that had been solved using the honey bee algorithm and the similarity between these problems and the cloud computing environment.Thus concluding that the honey bee algorithm could be successfully used to solve the trust management issue in cloud computing.…”
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  5. 5
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  6. 6
    Energy and performance efficient resource allocation for cloud-based data centers

    Energy and performance efficient resource allocation for cloud-based data centers by Akhter, Nasrin

    Published 2015
    “…This thesis demonstrates that the dynamic consolidations of virtualmachines in cloud data centers by proposing energy efficient algorithms and policies. …”
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  7. 7
    Investigating the schedulability of periodic real-time tasks in virtualized cloud environment

    Investigating the schedulability of periodic real-time tasks in virtualized cloud environment by Alhussian, H., Zakaria, N., Patel, A., Jaradat, A., Abdulkadir, S.J., Ahmed, A.Y., Bahbouh, H.T., Fageeri, S.O., Elsheikh, A.A., Watada, J.

    Published 2019
    “…In this paper, we developed a computing architecture and algorithms for supporting soft real-time task scheduling in a cloud computing environment through the dynamic provisioning of virtual machines. …”
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  8. 8
    Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing

    Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing by Fahad, Ahmed Mohammed, Ahmed, Abdulghani Ali, M. N. M., Kahar

    Published 2019
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  9. 9
    Cloudids: Cloud Intrusion Detection Model Inspired By Dendritic Cell Mechanism

    Cloudids: Cloud Intrusion Detection Model Inspired By Dendritic Cell Mechanism by Azuan Ahmad, Norbik Bashah Idris, Mohd Nazri Kama

    Published 2024
    “…In addition, maintenance of traditional IDS in Cloud Computing system requires expertise and consumes more time where not each Cloud user has. …”
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  10. 10
    Fog offloading and task management in IoT-fog-cloud environment: review of algorithms, networks, and SDN application

    Fog offloading and task management in IoT-fog-cloud environment: review of algorithms, networks, and SDN application by Rezaee, Mohammad Reza, Abdul Hamid, Nor Asilah Wati, Hussin, Masnida, Ahmad Zukarnain, Zuriati

    Published 2024
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  11. 11
    Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider

    Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider by Omer Fadlelmola Elkhider, Samih

    Published 2011
    “…Moreover, this prototype could be used as the basis for developing more advanced remote monitoring in term of performance to access and interact with mobile cloud, which is the future of mobile technology.…”
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  12. 12
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  13. 13
    An Educational Tool Aimed at Learning Metaheuristics

    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. …”
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  14. 14
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  15. 15
    Mapping of oil palm land cover using integration of cloud computing, machine learning and big data

    Mapping of oil palm land cover using integration of cloud computing, machine learning and big data by Shaharum, Nur Shafira Nisa

    Published 2019
    “…Obtaining information of oil palm plantation over a large area will be very intensive, costly and time consuming. Thus, this study had utilised cloud-based platforms, namely Google Earth Engine (GEE) and Remote Ecosystem Monitoring Assessment Pipeline (REMAP) to map the oil palm areas. …”
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  16. 16
    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
    “…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). …”
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  17. 17
    IoT-BSEM internet of things-based smart energy meter for domestic house

    IoT-BSEM internet of things-based smart energy meter for domestic house by Abdul Razak, Nur Atiqah Husna, Ramlee, Ridza Azri, Ahmed Kamal, Ibrahim Faris, Andre, H, Khmag, Asem

    Published 2023
    “…The microcontroller receives the measured data from the sensor and calculated using developed algorithm, then data sent to the IoT cloud. …”
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  18. 18
    A new scheduling technique to improve data management in cloud computing

    A new scheduling technique to improve data management in cloud computing by Khan, Nawsher

    Published 2013
    “…Cloud Computing is an extremely successful service oriented computing paradigm and has revolutionized, modernized, and well-developed infrastructure of computing. …”
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  19. 19
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
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    Monograph
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  20. 20
    AI powered asthma prediction towards treatment formulation: an android app approach

    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
    “…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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