Search Results - (( java implementation learning algorithm ) OR ( mobile location based algorithm ))

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  1. 1

    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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    Article
  2. 2

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
    “…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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    Thesis
  3. 3

    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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    Article
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    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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    Thesis
  7. 7

    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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    Thesis
  8. 8

    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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    Conference or Workshop Item
  9. 9

    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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    Learning Object
  10. 10

    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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    Article
  11. 11

    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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    Proceeding Paper
  12. 12

    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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    Thesis
  13. 13

    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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    Proceeding Paper
  14. 14

    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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    Book Chapter
  15. 15

    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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    Article
  16. 16

    Mobile Map-Based Positioning System Using Segmentation Algorithm (MM-BPS) by Migdady, Hazem Moh'd Ali

    Published 2008
    “…This paper reports steps to build a segmentation positioning algorithm and to implement Mobile Map-Based Positioning System prototype.…”
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    Thesis
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    Mobile robot navigation using GPS to solve target location achieving problem / Saiful Zaimy Yahaya, Rozan Boudville and Mohamad Faizal Abdul Rahman by Yahaya, Saiful Zaimy, Boudville, Rozan, Abdul Rahman, Mohamad Faizal

    Published 2010
    “…Navigation is very crucial due to the robot ability to adapt and sustain to its environment and find it path to the target location. This research proposed mobile robot navigation using GPS to cope for the navigation problem in reaching the target location. …”
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    Research Reports
  19. 19

    Context Aware Handover Algorithms For Mobile Positioning Systems by Zaman Khan, Sazid, Thilek, Silvadorai, Tan, Chen Wei, Ramadass, Sureswaran, Anwar, Toni

    Published 2014
    “…This work proposes context aware handover algorithms for mobile positioning systems. The algorithms perform handover among positioning systems based on important contextual factors related to position determination with efficient use of battery. …”
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    Article
  20. 20

    k- Nearest Neighbor Algorithm For Improving Accuracy In Clutter Based Location Estimation Of Wireless Nodes by Muhammad Mansoor Alam, Mazliham Mohd Su'ud, Patrice Boursier, Shahrulniza Musa

    Published 2013
    “…This research is focusing on the precise location estimation of mobile node by using k - nearest neighbor algorithm (k-NN). …”