Search Results - (( java implementation plan algorithm ) OR ( using network coding algorithm ))

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  1. 1

    Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar by Subri, Syarul Haniz

    Published 2006
    “…Back propagation neural network algorithm was used to develop and produce the classifier for corner detector algorithm. …”
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    Thesis
  2. 2

    Genetic algorithm based network coding in wireless ad hoc networks by Tan, Shee Eng

    Published 2013
    “…Wireless network simulation is used to demonstrate and assess the implementation of network coding in wireless ad hoc networks. …”
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    Thesis
  3. 3

    Evolutionary algorithm based network coding for optmization of intelligent vehicular ad hoc network by Lee, Chun Hoe

    Published 2017
    “…This project aims to improve the throughput, energy consumption and overhead of vehicular ad hoc network (VANET) by optimising the network coding (NC) using Genetic Algorithm and Particle Swarm Optimisation (GA-PSO). …”
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    Thesis
  4. 4
  5. 5

    A genetic algorithm for management of coding resources in VANET by Lee, Chun Hoe, Lim, Kit Guan, Min Keng Tan, Renee Ka Yin Chin, Kenneth Tze Kin Teo

    Published 2017
    “…This project aims to improve the throughput, energy consumption and overhead of vehicular ad hoc network (VANET) by optimising the network coding (NC) using Genetic Algorithm (GA). …”
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    Conference or Workshop Item
  6. 6

    Development of computer aided three-dimensional geometric modeler based on designer's idea in twodimensional by Haron, Habibollah

    Published 2006
    “…These algorithm are used to produce chain code series that represented a thinned binary image of the sketch. …”
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    Monograph
  7. 7
  8. 8

    Evolutionary algorithm based network coding for optimization of intelligent vehicular ad hoc network by Lee, Chun Hoe

    Published 2017
    “…This project aims to improve the throughput, energy consumption and overhead of vehicular ad hoe network (VANET) by optimising the network coding (NC) using Genetic Algorithm and Particle Swarm Optimisation (GA-PSO). …”
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    Thesis
  9. 9

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…The project was planned using the Kanban development methodology, and was built using HTML, CSS, JavaScript, Django, NumPy and pandas. …”
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    Final Year Project / Dissertation / Thesis
  10. 10

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The development of this project is based on a framework of 5 main stages: planning, analysis, design, implementation and testing. …”
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    Thesis
  11. 11

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This methodology consist of Requirement and Planning, Design, Construction, Testing and Implementation. …”
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    Thesis
  12. 12

    Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection by Ahmed Khan, Fazeel, Abubakar, Adamu

    Published 2024
    “…The Differential Services Code Point within the Differentiated Service (DiffServ) field is primarily used inside the Layer 3 encapsulated network IP packets. …”
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    Article
  13. 13

    Artificial intelligent power prediction for efficient resource management of WCDMA mobile network by Tee Y.K., Tinng S.K., Koh J., David Y.

    Published 2023
    “…The output of SVR will be used by WCDMA mobile network to decide on new service admission. …”
    Conference Paper
  14. 14

    Multilayers fast mode decision algorithm for scalable video coding: design, implementation, and streaming evaluation on IEEE 802.11g wireless LAN by Maarif, Haris Al Qodri, Gunawan, Teddy Surya

    Published 2011
    “…The advancement and development in video coding technology, together with the increase of storage capacity network infrastructures and computing power are enabling an increasing number of video applications. …”
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    Book
  15. 15

    Optimization of coded signals based on wavelet neural network by Ahmed, Mustafa Sami

    Published 2015
    “…We performed evaluation using 13-bit, 35-bit and 69-bit Barker codes as signal codes to WNN. …”
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    Thesis
  16. 16

    Development of new code for optical code division multiple access systems by Hilal Adnan, Fadhil

    Published 2011
    “…Splitting algorithm is proposed to construct the new code families namely RD code. …”
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    Thesis
  17. 17

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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    Thesis
  18. 18

    Design of information hiding algorithm for multi-link network transmission channel by Fu, Songyin, Wang, Rangding

    Published 2019
    “…This paper designs an information hiding algorithm for multi-link network transmission channel based on secondary positioning, it uses RS code M public key cryptosystem to pre-process secret information and improve the security of information; calculates the upper limit of hiding capacity of multi-link network transmission channel system through information hiding capacity analysis model, and determines whether the hiding capacity exceeds the secret information. …”
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    Article
  19. 19

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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    Article
  20. 20

    Neural network-based codebook search for image compression by Bodruzzaman, M., Gupta, R., Karim, M.R., Bodruzzaman, S.

    Published 2000
    “…The image to be coded is first clustered into a small subset of neighboring images and then the neural network-based encoder is used to find the best matching code sequences in the codebook. …”
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    Conference or Workshop Item