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  1. 1
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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  2. 2
    A malware analysis and detection system for mobile devices / Ali Feizollah

    A malware analysis and detection system for mobile devices / Ali Feizollah by Ali, Feizollah

    Published 2017
    “…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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  3. 3
    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
    “…Hence, solutions are needed to minimize the energy consumption. 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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  4. 4
    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
    “…Based on the proposed algorithms, energy consumption can be reduced…”
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  5. 5
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…A decentralized Locust-inspired scheduling algorithm (LACE) is one way to minimize the level of energy consumption in cloud datacenters. …”
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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
    “…The aim of this research is to propose a few new host overload detection and VMselection algorithms in order tominimize energy consumption. Recently,researchers have shown an increased interest to reduce energy consumption in cloud data centers by consolidation of Virtual Machines. …”
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  7. 7
    The optimization of resources allocation to minimize energy consumption within data center in cloud

    The optimization of resources allocation to minimize energy consumption within data center in cloud by Ayob, Fahrul Hakim, Jayatis, Punaya, Subramaniam, Shamala

    Published 2019
    “…When comparing with DVFS in a set of experiment, the proposed algorithm is better in terms of lower power consumption.…”
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  8. 8
    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…The first part involves a review of prior locustinspired algorithms, while the second part concerns the adaptation of the algorithm to the cloud computing paradigm. …”
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  9. 9
    HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets

    HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets by Hasan, Raed Abdulkareem, Mostafa, A. Mohammed, Salih, Zeyad Hussein, M. A., Ameedeen, Tapus, Nicolae, Mohammed, Muamer N.

    Published 2018
    “…To address these issues, this study sets forth a novel algorithm (HSO) that optimized energy efficiency resource management in the cloud; the process of the proposed method involves the use of the developed cost and runtime-effective model to create a minimum energy configuration of the cloud compute nodes while guaranteeing the maintenance of all minimum performances. …”
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  10. 10
    A Focal load balancer based algorithm for task assignment in cloud environment

    A Focal load balancer based algorithm for task assignment in cloud environment by Mohammed, Mostafa Abdulghfoor, Hasan, Raed Abdulkareem, Ahmed, Munef Abdullah, Tapus, Nicolae, Shnan, Marwan Ali, Khaleel, M. K., Ali, Ahmed H.

    Published 2019
    “…In this paper, a new load balancing system is presented Focal Load Balancer (F-LB), which has been developed to reduce the traffic in the Cloud, whilst assuring a smooth flow of data in the cloud network. …”
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  11. 11
    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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  12. 12
    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing

    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing by Elrasheed Ismail, Sultan

    Published 2013
    “…The distributed Cloud Computing technology has been produced as the development of the computer network and distributed computing technology. …”
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  13. 13
    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network

    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

    Published 2022
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    Final Year Project / Dissertation / Thesis
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  14. 14
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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  15. 15
    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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  16. 16
    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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  17. 17
    Provider independent cryptographic tools

    Provider independent cryptographic tools by Ibrahim, Subariah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

    Published 2003
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    Monograph
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  18. 18
    An Energy-Efficient Cross-Layer approach for cloud wireless green communications

    An Energy-Efficient Cross-Layer approach for cloud wireless green communications by Sadiq, Ali Safa, Almohammad, Turfah Zeyad, Rabiatul Adawiah, Muhamed Khadri, Ahmed, Abdulghani Ali, Lloret, Jaime

    Published 2017
    “…The main challenge in WSN is to develop an energy efficient algorithm to minimize energy consumption during transmitting information from deployed sensors up to the cloud resources. …”
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  19. 19
    Energy consumption prediction by using machine learning for smart building: Case study in Malaysia

    Energy consumption prediction by using machine learning for smart building: Case study in Malaysia by M. Shapi, Mel Keytingan, Nor Azuana, Ramli, Awalin, Lilik J.

    Published 2021
    “…Thus, this research aims to address the problems by developing a predictive model for energy consumption in Microsoft Azure cloud-based machine learning platform. …”
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  20. 20
    Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications

    Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications by Rafique, Majid

    Published 2025
    “…This study focuses on a Fog Optimized Computing System (FOCS) algorithm, which is developed to handle network congestion and processing challenges imposed by the increasing number of IoT devices. …”
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