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  1. 1
    Tag clouds algorithm with the inclusion of personality traits

    Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

    Published 2015
    “…The main contribution of this research is the tag cloud layout styles algorithm, which combines the concept of personality traits and characteristics of colors and shapes. …”
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  2. 2
    Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)

    Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

    Published 2022
    “…The natural evolution optimization algorithm which is genetic algorithm can be improve by combining the nature meta-heuristic algorithms which is bald eagle search to improve the makespan of genetic algorithm using cloudsim that need to be implement on the eclipse platform. …”
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    Academic Exercise
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  3. 3
    System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO)

    System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO) by Mohd Erwan Mazalan

    Published 2022
    “…In this project, Genetic Algorithms (GA) is combine Moth Flame Optimization (MFO) to improve the cloud computing environment. …”
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  4. 4
    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
    “…Then they are assigned to the machines according to the assignment algorithm for job combinations, which is a special integer partition algorithm. …”
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  5. 5
    Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing

    Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing by Parmesivan, Yuganes, Hasan, Sazlinah, Muhammed, Abdullah

    Published 2018
    “…Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm.…”
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  6. 6
    Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing

    Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing by Naha, Ranesh Kumar

    Published 2015
    “…Proposed cloud brokering algorithms works with different types of cloud provider and deal with various user requirements. …”
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  7. 7
    Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism

    Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism by Khalil Abd., Sura

    Published 2017
    “…In this study, to improve the utilization of cloud resources and reduce the energy consumption of datacenters, a combination of energy-aware resource allocation and scheduling mechanism including DNA based Fuzzy Genetic Algorithm (DFGA) is proposed. …”
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  8. 8
    Genetic algorithm optimized network in cloud data centre

    Genetic algorithm optimized network in cloud data centre by Nurika, O., Hassan, M.F., Zakaria, N., Jung, L.T.

    Published 2016
    “…This could be considered a combinatorial problem, which in our methodology is attempted to be solved using genetic algorithm. The generated network card configurations adapt to the typical characteristics of cloud network traffic pattern. …”
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  9. 9
    Privacy-preserving multi-keyword hybrid search over encrypted data in cloud

    Privacy-preserving multi-keyword hybrid search over encrypted data in cloud by Singh, N., Kumar, J., Singh, A.K., Mohan, A.

    Published 2022
    “…This algorithmic combination is able to predict the privacy ranking measure of the retrieved data. …”
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  10. 10
    Privacy-preserving multi-keyword hybrid search over encrypted data in cloud

    Privacy-preserving multi-keyword hybrid search over encrypted data in cloud by Singh, N., Kumar, J., Singh, A.K., Mohan, A.

    Published 2022
    “…This algorithmic combination is able to predict the privacy ranking measure of the retrieved data. …”
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  11. 11
    Alignment of 3D laser scanner point clouds using photogrammetric targets

    Alignment of 3D laser scanner point clouds using photogrammetric targets by Majid, Zulkepli, Setan, Halim, Chong, Albert K.

    Published 2006
    “…For complete 3D model generation, the scanning images is needed to be registered (combined) and merged together. Existing registration method used corresponding features between the two scanned images as registration primitive and finally 3D transformation algorithm was applied to combine the images. …”
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  12. 12
    Cloud co-residency denial of service threat detection inspired by artificial immune system

    Cloud co-residency denial of service threat detection inspired by artificial immune system by Ahmad A., Shafiuddin W., Kama M.N., Idris N.B., Madihah Mohd Saudi

    Published 2024
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  13. 13
    Cloud Co-Residency Denial of Service Threat Detection Inspired by Artificial Immune System

    Cloud Co-Residency Denial of Service Threat Detection Inspired by Artificial Immune System by Ahmad, A, Zainuddin, WS, Kama, MN, Idris, NB, Saudi, MM

    Published 2024
    “…A review of the literature shows that there is still a lack of works on cloud IDS that focused on implementing real-time hybrid detections using Dendritic Cell algorithm (DCA) as a practical approach. …”
    Proceedings Paper
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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
    An improved hybrid method combined with a cloud-based supervisory control to facilitate smooth coordination under low-inertia grids

    An improved hybrid method combined with a cloud-based supervisory control to facilitate smooth coordination under low-inertia grids by Yiizzan, Suffian, Ahmed Mohamed, Ahmed Haidar, Wan Azlan, Wan Zainal Abidin, Hazrul, Mohamed Basri

    Published 2025
    “…For this reason, the paper proposed an optimized hybrid generalized droop method combined with a cloud-based supervisory control using the Internet of Things (IoT) to facilitate smooth transitions and maintain system stability. …”
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  16. 16
    Cloud co-residency denial of service threat detection inspired by artificial immune system

    Cloud co-residency denial of service threat detection inspired by artificial immune system by Ahmad, Azuan, Zainudin, Wan Shafiuddin, Kama, Mohd Nazri, Idris, Norbik Bashah, Mohd Saudi, Madihah

    Published 2018
    “…A review of the literature shows that there is still a lack of works on cloud IDS that focused on implementing real-time hybrid detections using Dendritic Cell algorithm (DCA) as a practical approach. …”
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    Proceeding Paper
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  17. 17
    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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  18. 18
    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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  19. 19
    Secure policies for the distributed virtual machines in mobile cloud computing

    Secure policies for the distributed virtual machines in mobile cloud computing by Annane, Boubakeur

    Published 2020
    “…Mobile Cloud Computing (MCC) is a combination of cloud computing and mobile computing through wireless technology in order to overcome mobile devices' resource limitations. …”
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  20. 20
    Architecture for latency reduction in healthcare internet-of-things using reinforcement learning and fuzzy based fog computing

    Architecture for latency reduction in healthcare internet-of-things using reinforcement learning and fuzzy based fog computing by Shukla, S., Hassan, M.F., Jung, L.T., Awang, A.

    Published 2019
    “…This hybrid approach integrates healthcare IoT devices with the cloud and uses fog services with Fuzzy Reinforcement Learning Data Packet Allocation (FRLDPA) algorithm. …”
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