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  1. 1
    Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman

    Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman by Azman, Muhammad Izzat Azri

    Published 2017
    “…This project used Artificial Bee Colony Algorithms (ABC) by adapting the food foraging behaviour of bee in honey bee and find a suitable house for home buyer based on their requirement. …”
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  2. 2
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media A., Abu Osman, Md. Tap

    Published 2011
    “…This work examines the location determination techniques by attempting to determine the location of mobile users by taking advantage of SS and SQ history data and modeling the locations using the ELM algorithm. …”
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  3. 3
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media Anugerah, Md. Tap, Abu Osman

    Published 2011
    “…This work examines the location determination techniques by attempting to determine the location of mobile users by taking advantage of SS and SQ history data and modeling the locations using the ELM algorithm. …”
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  4. 4
    Application of the bees algorithm for constrained mechanical design optimisation problem

    Application of the bees algorithm for constrained mechanical design optimisation problem by Kamaruddin, Shafie, Abd Latif, Mohd Arif Hafizi

    Published 2019
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  5. 5
    Bees algorithm enhanced with Nelder and Mead method for numerical function optimisation

    Bees algorithm enhanced with Nelder and Mead method for numerical function optimisation by Kamaruddin, Shafie, Bahari, Muhammad Syahril, Pham, Duc Truong, Mohd Amin Hamzas, Mohd Fidzwan, Zakaria, S

    Published 2019
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  6. 6
    Mobile user location prediction: genetic algorithm-based approach

    Mobile user location prediction: genetic algorithm-based approach by Mantoro, Teddy, Muataz, Zubaidah, Ayu, Media Anugerah

    Published 2010
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  7. 7
    Collaborative Location-Based Mobile Game with Error Detection Algorithm

    Collaborative Location-Based Mobile Game with Error Detection Algorithm by Adrus, Mohamad Tazuddin, Wong, Ming Ming, Abang Mohamad Aizuddin, Abang Mohd Mohtar

    Published 2018
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  8. 8
    Optimal design of step – cone pulley problem using the bees algorithm

    Optimal design of step – cone pulley problem using the bees algorithm by Yusof, Noor Jazilah, Kamaruddin, Shafie

    Published 2021
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  9. 9
    The child tracker using location awareness / Muhammad Idham Amdan

    The child tracker using location awareness / Muhammad Idham Amdan by Amdan, Muhammad Idham

    Published 2017
    “…One the significance feature of this project is to track the position of device precisely. The location retrieve from client or the tracked device will be computed and filtered based on the algorithm to generate addresses from latitude and longitude, the coordinate of mobile phone. …”
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  10. 10
    Enhanced location and positioning in wimax networks with virtual mimo base station

    Enhanced location and positioning in wimax networks with virtual mimo base station by Othman, Muhammad Hakim

    Published 2015
    “…Furthermore, a new hybrid algorithm enhancement of mobile station (MS) location estimation by using a single MIMO base station (SMBS) with the virtual base station has been introduced. …”
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  11. 11
    Data clustering using the bees algorithm

    Data clustering using the bees algorithm by Pham, D.T, Otri, S., Afify, A., Mahmuddin, Massudi, Al-Jabbouli, H.

    Published 2007
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  12. 12
    Simulation of Virtual MIMO Base Stations for Mobile Location in IMT-Advanced Networks

    Simulation of Virtual MIMO Base Stations for Mobile Location in IMT-Advanced Networks by Awang Md Isa, Azmi, Mohamad Isa, Mohd Sa'ari, Zakaria, Zahriladha, Mohd Zin, Mohd Shahril Izuan

    Published 2012
    “…The conventional Location and Positioning (L&P) methods rely on availability of base station (BS) locations as well as mitigation of propagation effects. …”
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  13. 13
    Autonomous path planning robot using geographical information

    Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

    Published 2008
    “…The guidance algorithm is formed based on an initial direction and distance of the target location without considering the time taken by the robot to reach the desired destination. …”
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  14. 14
    Improved Location And Positioning Utilizing Single MIMO Base Station In IMT-Advanced System

    Improved Location And Positioning Utilizing Single MIMO Base Station In IMT-Advanced System by Azmi, Awang Md Isa, Mustafa H., Othman, Zahariah, Manap, Mohd Sa'ari, Mohamad Isa, Mohd Shahril Izuan, Mohd Zin, Mohd Shakir, Md Saat, Zahriladha, Zakaria

    Published 2016
    “…The Single MIMO Base Station (SMBS) in mobile WiMAX is combined with a virtual technique, known as the Virtual Base Stations, created a novel algorithm for location and positioning (L&P) purposes. …”
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  15. 15
    A new multicast-based architecture to support host mobility in IPv6

    A new multicast-based architecture to support host mobility in IPv6 by M. Ali, Borhanuddin, Habaebi, Mohamed Hadi, AI-Talib, Sahar

    Published 2003
    “…A new multicast group joidleave mechanism for mobile nodes (MNs) is proposed. The mechanism is based on hash algorithm. …”
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  16. 16
    Optimisation of Surface Roughness in 3D Printing Using the Bees Algorithm

    Optimisation of Surface Roughness in 3D Printing Using the Bees Algorithm by Kamaruddin, Shafie, Ridzuan, Arman Hilmi, Sukindar, Nor Aiman

    Published 2025
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  17. 17
    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
    “…First, the high dependability on multi-attributes (location and time) of packets in random mobile sensors. …”
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  18. 18
    Particle filter approach for estimating indoor mobile user location using IEEE 802.11 signals (F1090)

    Particle filter approach for estimating indoor mobile user location using IEEE 802.11 signals (F1090) by Mantoro, Teddy, Ayu, Media Anugerah, Raman, Shakiratul Husna, Md. Latiff , Nurul Hidayati

    Published 2011
    “…The paper discussed the comparison between the true location and the estimated location based on two types of signals data: normal data and noise data. …”
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  19. 19
    Making location-aware computing working accurately in smart spaces

    Making location-aware computing working accurately in smart spaces by Mantoro, Teddy, Ayu, Media Anugerah, Weyn, Maarten

    Published 2011
    “…The algorithm is based on “multiple observers” on ηk-Nearest Neighbour. …”
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  20. 20
    Enhanced Privacy Protection Against Location-Dependent Attacks in Location Based Services Using Spatial Cloaking

    Enhanced Privacy Protection Against Location-Dependent Attacks in Location Based Services Using Spatial Cloaking by Saravanan, Perumal Shanthi, Balasundaram, Sadhu Ramakrishnan

    Published 2020
    “…Use of Internet enabled mobile devices has facilitated the rapid Use of Internet enabled mobile devices has facilitated the rapid development of location-based services (LBS). …”
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