Search Results - (( developing formative sensor algorithm ) OR ( java optimization bat algorithm ))

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  1. 1
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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  2. 2
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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  3. 3
    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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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    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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  16. 16
    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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  17. 17
    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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  18. 18
    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, Shwetank, Ridha, Syahrir, Vasant, Pandian M., Ilyas, Suhaib Umer, Sophian, Ali

    Published 2020
    “…Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. …”
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  19. 19
    Analysis of performance between kinect v1 and kinect v2 for various facial part movements

    Analysis of performance between kinect v1 and kinect v2 for various facial part movements by Heng, Sheng Guang, Rosdiyana, Samad, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah, Pebrianti, Dwi

    Published 2019
    “…The aim of this study is to determine the suitable version of Kinect motion sensor for developing facial therapy or exercise throughout the analysis of face tracking performance. …”
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  20. 20
    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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