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  1. 1
    Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks

    Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks by Alhalabi, Huda A. H.

    Published 2019
    “…MSCIF integrates three main algorithms: clustering algorithm, selection algorithm, and a synchronized flooding. …”
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  2. 2
    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh

    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh by Hazem Jihad , Ali Badarneh

    Published 2021
    “…Dynamic-Coalition framework establishes a relevance between sensors and gateways to construct dynamic blocks called dynamic-coalitions. …”
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  3. 3
    A Distributed Energy Aware Connected Dominating Set Technique for Wireless Sensor Networks

    A Distributed Energy Aware Connected Dominating Set Technique for Wireless Sensor Networks by Abd Aziz, Azrina, Sekercioglu, Ahmet

    Published 2012
    “…This paper presents an energy-efficient algorithm based on the connected dominating set (CDS) for a wireless sensor networks (WSN). …”
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  4. 4
    Virtual Force Algorithm and Cuckoo Search algorithm for node placement technique in wireless sensor network

    Virtual Force Algorithm and Cuckoo Search algorithm for node placement technique in wireless sensor network by Ahmad, Puteri Azwa, Mahmuddin, Massudi, Omar, Mohd Hasbullah

    Published 2013
    “…Wireless Sensor Network (WSN) has become one of the current technologies in the world of information technology.Coverage and connectivity are the main requirement that reflects the performance and quality of services in WSN applications.In WSN applications with a large scale area, the sensor nodes are deployed randomly in a noninvasive way.The deployment process will cause some issues such as coverage hole and overlapping that reflect to the performance of coverage area and connectivity.Node placement model is constructed to find the optimal node placement.Virtual Force Algorithm (VFA) and Cuckoo Search (CS) algorithm approach for node placement technique is analyzed to find the optimal node placement in order to improve the network coverage and connectivity with a minimum coverage hole and overlapping area.…”
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  5. 5
    Topology control in heterogeneous wireless sensor networks / Nafiseh Ahadi

    Topology control in heterogeneous wireless sensor networks / Nafiseh Ahadi by Ahadi, Nafiseh

    Published 2011
    “…Topology control algorithms are energy efficient mechanisms that extend lifetime of the WSN witch include tow processes, construction and maintenance. …”
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  6. 6
    Clustering Approach In Wireless Sensor Networks Based On K-Means: Limitations And Recommendations

    Clustering Approach In Wireless Sensor Networks Based On K-Means: Limitations And Recommendations by Hassan, Ali Abdul-hussian, Md Shah, Wahidah, Husien, Ali Mohamed, Talib, Mohammed Saad, Mohammed, Ali Abdul Jabbar, Othman, Mohd Fairuz Iskandar

    Published 2019
    “…One of most popular cluster algorithms that utilizing into organize sensor nodes is K-means algorithm. …”
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  7. 7
    SUDOKU HELPER

    SUDOKU HELPER by Abdul Razak, Muhammad Asyraf

    Published 2015
    “…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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  8. 8
    The impact of clustering on the average path length in wireless sensor networks

    The impact of clustering on the average path length in wireless sensor networks by Aziz, A.A., Şekercioğlu, Y. A.

    Published 2015
    “…Clustering algorithms have been widely used in wireless sensor networks for virtual backbone construction. …”
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  9. 9
    Underwater Wireless Sensor Networks: Routing Issues and Future Challenges

    Underwater Wireless Sensor Networks: Routing Issues and Future Challenges by Muhammad, Ayaz, Azween, Abdullah

    Published 2009
    “…In addition, at the end we will give some future directions, which can be helpful in order to construct the algorithms for such environments.…”
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  10. 10
    Underwater Wireless Sensor Networks: Routing Issues and Future Challenges

    Underwater Wireless Sensor Networks: Routing Issues and Future Challenges by Muhammad, Ayaz, Azween, Abdullah

    Published 2009
    “…In addition, at the end we will give some future directions, which can be helpful in order to construct the algorithms for such environments.…”
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  11. 11
    Design and development of prototype robot gripper for object weight measurement

    Design and development of prototype robot gripper for object weight measurement by Almassri, Ahmed M. M.

    Published 2014
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  12. 12
    A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation

    A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation by Hossen J., Sayeed S., Iqbal A.K.M.P.

    Published 2023
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  13. 13
    A Distributed Topology Control Method for Improving Energy Efficiency of Wireless Sensor Networks

    A Distributed Topology Control Method for Improving Energy Efficiency of Wireless Sensor Networks by Abd Aziz, Azrina, Sekercioglu, Ahmet

    Published 2012
    “…The method is based on the Connected Dominating Set (CDS) concept, which takes energy reserves of the individual nodes into consideration when constructing the virtual backbone. To achieve this, we have developed a novel algorithm called three phase single initiator (TPSI). …”
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  14. 14
    Hardware development of autonomous mobile robot based on actuating lidar

    Hardware development of autonomous mobile robot based on actuating lidar by Mohd Romlay, Muhammad Rabani, Mohd Ibrahim, Azhar, Toha, Siti Fauziah, Rashid, Muhammad Mahbubur, Ahmad, Muhammad Syahmi

    Published 2022
    “…In this research, we present the construction of an autonomous mobile robot based on a single actuating LiDAR sensor, with human subjects as the main element to be detected. …”
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  15. 15
    AUTOMATED GUIDED ROBOT (AGR)

    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…Algorithm conversion to C code programming has been done throughout the project for the obstacle avoidance and path planning algorithms based upon the GA platform ofAI.…”
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  16. 16
    Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours

    Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours by Kalid Abdlkader Marsal Salih

    Published 2024
    “…Then, the enhancement clustering algorithm will be constructed based on correlated degree which is selected as a cluster head to serves as a link connectivity between individual node and its neighbor to form network clustering. …”
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  17. 17
    Maze solving balbot

    Maze solving balbot by Soon, Chi Wei

    Published 2010
    “…The GP2D120 IR distance sensor is used to achieve the balancing mode while the GP2D12 IR sensor is applied as the input for microcontroller in the determination of the path control algorithm. …”
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  18. 18
    Finding objects with segmentation strategy based multi robot exploration in unknown environment

    Finding objects with segmentation strategy based multi robot exploration in unknown environment by Arezoumand, Reza, Mashohor, Syamsiah, Marhaban, Mohammad Hamiruce

    Published 2013
    “…For constructing map robot can use on built range finder sensor or using vision based systems. …”
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  19. 19
    Maze Mouse

    Maze Mouse by Abdul Rahim, Asmalilah

    Published 2004
    “…Focus of the project is primarily on the infrared sensor system and maze solving algorithm which are the critical part ofthis project.…”
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  20. 20
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
    “…The results obtained in these experiments would provide some overview in deploying machine learning algorithm for characterizing the Brillouin-based fibre sensor signals.…”
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