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  1. 1
    Enhancing a cluster-based TDMA MAC protocol for vehicle-to-vehicle communications / Abubakar Bello Tambawal

    Enhancing a cluster-based TDMA MAC protocol for vehicle-to-vehicle communications / Abubakar Bello Tambawal by Abubakar Bello , Tambawal

    Published 2020
    “…A dynamic time slot allocation strategy using a binary tree algorithm has been proposed to prevent vehicles from the adjacent clusters to reserve the same time slot. …”
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  2. 2
    Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm

    Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm by Muhsen, Yousif Raad, Husin, Nor Azura, Zolkepli, Maslina, Manshor, Noridayu, Al-Hchaimi, Ahmed Abbas Jasim, Ridha, Hussein Mohammed

    Published 2023
    “…The effectiveness of communication within NoCs relies heavily on the routing algorithm employed. …”
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  3. 3
    A cluster-based hybrid replica control protocol for high availability in data grid

    A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

    Published 2019
    “…This research has contributed a dynamic cluster-based hybrid replica control protocol which proposed a clustering algorithm to determine the number of clusters, a mechanism for dynamic participation of nodes in the network, and a replica placement algorithm that produces low communication cost and high data availability as compared to DH and DDG protocols. …”
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  4. 4
    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks

    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

    Published 2025
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  5. 5
    User interface and interactivity design guidelines of algorithm visualization on mobile platform

    User interface and interactivity design guidelines of algorithm visualization on mobile platform by Supli, Ahmad Affandi

    Published 2019
    “…Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. …”
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  6. 6
    Performance Evaluation Of Combined Code-Space Division Multiple Access With Enhanced Parallel Interference Cancellation

    Performance Evaluation Of Combined Code-Space Division Multiple Access With Enhanced Parallel Interference Cancellation by Odeh, Nidhal A.S.

    Published 2007
    “…Finally,the code assignment algorithm is able to further enhance the system capacity by utilizing the same resources compared to the fixed code assignment strategy. …”
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  7. 7
    Resource allocation based on interference coordination for Multicast-Broadcast Single Frequency Network (MBSFN) / Mohd Fahmi Azman

    Resource allocation based on interference coordination for Multicast-Broadcast Single Frequency Network (MBSFN) / Mohd Fahmi Azman by Mohd Fahmi , Azman

    Published 2013
    “…Likewise, in dynamic resource allocation, the resource is allocated dynamically based on the calculated interference level. Genetic algorithm has been implemented to find the solution of allocating the static of pool of frequency respectively to the MBSFN area and to coordinate its interference (SFA-GA). …”
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  8. 8
    Handover algorithm between macrocell and femtocell in LTE network / Muhammad Ubaidullah Ramlan

    Handover algorithm between macrocell and femtocell in LTE network / Muhammad Ubaidullah Ramlan by Ramlan, Muhammad Ubaidullah

    Published 2013
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  9. 9
    Optimizing large scale combinatorial problems using multiple ant colonies algorithm based on pheromone evaluation technique

    Optimizing large scale combinatorial problems using multiple ant colonies algorithm based on pheromone evaluation technique by Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana, Md Norwawi, Norita

    Published 2008
    “…The new algorithm is based on the ant colony system and utilizes average and maximum pheromone evaluation mechanisms. …”
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  10. 10
    Self-adaptive Population Size Strategy Based on Flower Pollination Algorithm for T-Way Test Suite Generation

    Self-adaptive Population Size Strategy Based on Flower Pollination Algorithm for T-Way Test Suite Generation by Abdullah, Nasser, Kamal Z., Zamli

    Published 2019
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  11. 11
    HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation

    HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation by Alazzawi, A.K., Rais, H.M., Basri, S., Alsariera, Y.A., Capretz, L.F., Imam, A.A., Balogun, A.O.

    Published 2021
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  12. 12
    HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation

    HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation by Alazzawi, A.K., Rais, H.M., Basri, S., Alsariera, Y.A., Capretz, L.F., Imam, A.A., Balogun, A.O.

    Published 2021
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  13. 13
    Multi-base number representation in application to scalar multiplication and pairing computation

    Multi-base number representation in application to scalar multiplication and pairing computation by Mohammed Ismail, Abdelwahed

    Published 2011
    “…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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  14. 14
    Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar

    Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar by Duaa , Mehiar

    Published 2021
    “…The quantum computing theory has several advantages that can improve the searching capabilities of PSO-based algorithms. However, there has yet an attempt to adopt quantum behaviour onto robot-based system such as the RDPSO. …”
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  15. 15
    A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism

    A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism by Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana, Md Norwawi, Norita

    Published 2008
    “…Computational tests show promises of the new algorithm.…”
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  16. 16
    Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation

    Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation by Ariful, Haque, Kamal Z., Zamli

    Published 2016
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  17. 17
    A new algorithm on Graphical User Authentication (GUA) based on multi-line grids

    A new algorithm on Graphical User Authentication (GUA) based on multi-line grids by Lashkari, Arash Habibi, Gani, Abdullah, Sabet, Leila Ghasemi, Farmand, Samaneh

    Published 2010
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  18. 18
    A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application

    A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application by Zainal Abidin, Zulkifli

    Published 2011
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  19. 19
    PMT : opposition based learning technique for enhancing metaheuristic algorithms performance

    PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

    Published 2020
    “…Like existing OBL-based approaches, the PMT generates new potential solutions based on the currently selected candidate. …”
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  20. 20
    Modelling of Crowd Evacuation with Communication Strategy Using Social Force Model

    Modelling of Crowd Evacuation with Communication Strategy Using Social Force Model by Norhaida, Hussain, Wai Shiang, Cheah

    Published 2022
    “…As mobile crowd steering applications require user interaction during fire evacuation, we have foreseen a gap in current simulation algorithms, which leads to unrealistic simulation. This paper introduced a new insight into the agent-based crowd simulation through integration of communication strategy into the state of the art of social force for crowd management. …”
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