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  1. 1
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  2. 2
    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing

    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

    Published 2019
    “…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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  3. 3
    Energy efficient path reconstruction in wireless sensor network using iPath

    Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

    Published 2019
    “…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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  4. 4
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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  5. 5
    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network

    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network by Almuslehi, Hussein Saad Mohammed

    Published 2023
    “…Future research will focus on developing a Software Defined Networking (SDN) management framework, optimizing power management strategies, and exploring diverse network environments to enhance the adaptability and performance of wireless sensor networks.…”
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  6. 6
    Feature-based stereo vision relative positioning strategy for formation control of unmanned aerial vehicles

    Feature-based stereo vision relative positioning strategy for formation control of unmanned aerial vehicles by Yaghoobi, Yousef, Bahiki, Muhammad Rijaluddin, Syaril Azrad

    Published 2019
    “…In this paper, a novel approach in developing a Vision System as the primary sensor for relative positioning in flight formation of a Leader-Follower scenario is introduced. …”
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  7. 7
    Designated Path Routing Algorithm For Dense Wireless Sensor Network

    Designated Path Routing Algorithm For Dense Wireless Sensor Network by Subramaniam, Siva Kumar, Ikhwan Lee, Mohamad Yusry Lee, Feroz, Farah Shahnaz, Azman, Amierul Syazrul Azril

    Published 2021
    “…The proposed algorithm has been developed to optimize the network performance by dividing the traffic into two and by reducing the flooding during route discovery. …”
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  8. 8
    Multi-Agent Reinforcement Learning For Swarm Robots Formation

    Multi-Agent Reinforcement Learning For Swarm Robots Formation by Bujang, Christina

    Published 2021
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    Monograph
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  9. 9
    Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network

    Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network by Jahan, Mohammad Saukat

    Published 2015
    “…Simulation models have been developed and simulated to verify the performance improvements of the proposed algorithms. …”
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  10. 10
    Energy-efficient ant colony based leach routing algorithm in wireless sensor network

    Energy-efficient ant colony based leach routing algorithm in wireless sensor network by Muhammad Zahir Abd Latif, Kit Guan Lim, Min Keng Tan, Helen Sin Ee Chuo, Tienlei Wang, Kenneth Tze Kin Teo

    Published 2022
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  11. 11
    Novel detection soft-computing algorithm for structural health monitoring system

    Novel detection soft-computing algorithm for structural health monitoring system by Ng, Kian Theng

    Published 2013
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  12. 12
    Region-based Energy-aware Clustering (REC) for Efficient Packet Forwarding in WSN

    Region-based Energy-aware Clustering (REC) for Efficient Packet Forwarding in WSN by Nazir, Babar, Hasbullah, Halabi

    Published 2010
    “…Energy (battery) of the sensor node is considered as the scarcest resource in Wireless Sensor Network (WSN), hence a communication protocol that efficiently uses the limited energy must be developed. …”
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  13. 13
    Stability improvement low energy adaptive clustering hierarchy routing (sileach) protocol for wireless sensor network

    Stability improvement low energy adaptive clustering hierarchy routing (sileach) protocol for wireless sensor network by Jasim, Al-Haddad Zaid Ali

    Published 2017
    “…Wireless Sensor networks (WSN) consist of a large number of homogeneous or heterogeneous sensor nodes. …”
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  14. 14
    Stability improved of improved low energy adaptive clustering hierarchy routing protocol for wireless sensor network

    Stability improved of improved low energy adaptive clustering hierarchy routing protocol for wireless sensor network by Sabah Talib, Al-Zubaidi Ammar

    Published 2017
    “…Wireless Sensor networks (WSN) consist of a large number of homogeneous or heterogeneous sensor nodes. …”
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  15. 15
    Enhancing navigation accuracy of Turtlebot3 Burger mobile robot

    Enhancing navigation accuracy of Turtlebot3 Burger mobile robot by Muhammad Haniff, Gusrial, Muhammad Luqman Hakim, Abdullah, Nur Aqilah, Othman, Hamzah, Ahmad

    Published 2024
    “…Different sources of sensor information are fused into a single representational format called sensor fusion. …”
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  16. 16
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…These data are processed and stored in appropriate formats in a MySQL server database. Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  17. 17
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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  18. 18
    Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review

    Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review by Danyaro, K.U., Hussain, H.H., Abdullahi, M., Liew, M.S., Shawn, L.E., Abubakar, M.Y.

    Published 2022
    “…Additionally, these data which appear in ASCII format to the Metocean system are also manual and silos. …”
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  19. 19
    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review

    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review by Krishna, S., Ridha, S., Vasant, P., Ilyas, S.U., Sophian, A.

    Published 2020
    “…Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. …”
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  20. 20
    Disparity map calculation through epipolar lines estimation for 3D facial reconstruction

    Disparity map calculation through epipolar lines estimation for 3D facial reconstruction by Cheddad, Abbas, Setan, Halim, Majid, Zulkepli

    Published 2005
    “…A dense disparity map is generated to be the input for the depth calculation which, in its turn leads to 3D model formation.…”
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