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  1. 1

    Network reconfiguration and control for loss reduction using genetic algorithm by Jawad, Mohamed Hassan Izzaldeen

    Published 2010
    “…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
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    Thesis
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    Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm by Mohammed, Zahraa Abdulkareem

    Published 2017
    “…This work is aimed to decrease the total real and reactive power losses while enhancing the voltage profile of the distribution network with less computation time by proposing two new artificial intelligence algorithms, i.e. grouping particle swarm optimization algorithm and grouping genetic algorithm. …”
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    Thesis
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    Modified artificial neural network (ANN) models for Malaysian construction costs indices (MCCI) data / Saadi Ahmad Kamaruddin by Ahmad Kamaruddin, Saadi

    Published 2018
    “…Artificial neural network (ANN) is one of the most prominent universal approximators, and has been implemented tremendously in forecasting arena. …”
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    Thesis
  6. 6

    A comparative analysis of Prim, Kruskal, and Reverse-Delete algorithms in optimizing routes within Terengganu’s and Pahang’s attraction road network / Munashahira Mohammad Zahid... by Mohammad Zahid, Munashahira

    Published 2024
    “…The goal is to determine the most effective algorithm for constructing the minimum spanning tree (MST) that minimizes total travel distance. …”
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    Thesis
  7. 7

    Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network by Tee Y.K., Tiong S.K., Johnny K.S.P., Yeoh E.C.

    Published 2023
    “…The proposed algorithm, support vector regression assists genetic algorithm (SVRaGA) was tested in a dynamic WCDMA mobile network simulator. …”
    Conference paper
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    A case study on quality of sleep and health using Bayesian networks by Hong , Choon Ong, Chiew , Seng Lee, Chye , Ching Sia

    Published 2012
    “…The network scores computation is implemented to estimate the fitting of the resulting network of each structural learning algorithm in order to choose the best-fitted network. …”
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    Article
  9. 9

    FPGA implementation of handwritten number recognition using artificial neural network by Mittal, Harsh, Sharma, Abhishek, Perumal, Thinagaran

    Published 2019
    “…This network was implemented on Xilinx Zybo board XC7Z010CLG400-1. …”
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    Conference or Workshop Item
  10. 10

    An implementation of open systems interconnection (OSI) transport layer P2P identification algorithm using Netflow and Netfilter as a P2P traffic firewall / Amir Herman Amiruddin by Amiruddin, Amir Herman

    Published 2014
    “…The ability of detecting P2P host by this algorithm was compared to the detection rate of operational DPI appliances in the network. …”
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    Thesis
  11. 11

    Electricity distribution network for low and medium voltages based on evolutionary approach optimization by Hasan, Ihsan Jabbar

    Published 2015
    “…This thesis deals with the optimization of distribution network planning to find the most affordable network design in terms of total power losses minimization and voltage profiles improvement. …”
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    Thesis
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    Implementation of RIO in UMJaNetSim / Chan Chin We by Chan, Chin We

    Published 2004
    “…In this project, I will focus on the earliest making algorithm, which is calculating the average queue sizes for in-profile packets and total packets. …”
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    Thesis
  14. 14

    Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain by Sadrnia, Abdolhossein

    Published 2014
    “…The result shows if the proposed model implement to redesign forward logistics, 12.36% of the total cost can be decreased. …”
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    Thesis
  15. 15

    Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar by Vijyakumar, Kanendra Naidu

    Published 2015
    “…Blackout is the worst case scenario that could occur in the power system network. The cascading failure from one part of the system can propagate throughout the network and cause total system blackout. …”
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    Thesis
  16. 16

    Time Synchronization Using Distributed Observer Algorithm With Sliding Mode Control For Wireless Sensor Network by Yew, Tze Hui

    Published 2015
    “…TSDOS has the characteristics of being totally distributed, asynchronous, scalable across different network topological structures and adaptable to ad-hoc nodes deployment and link failures.In this dissertation, TSDOS has been implemented in several experimental simulations subject to different network topology and ad-hoc nodes deployment in MATLAB. …”
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    Thesis
  17. 17

    Modified artificial neural network (ANN) models for Malaysian construction costs indices (MCCI) data / Saadi Ahmad Kamaruddin by Ahmad Kamaruddin, Saadi

    Published 2018
    “…Artificial neural network (ANN) is one of the most prominent universal approximators, and has been implemented tremendously in forecasting arena. …”
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    Book Section
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    Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images by Adil Humayun, Khan

    Published 2024
    “…In the third classification algorithm, hybrid features are extracted using AlexNet and VGG-16 through a transfer learning approach where parameter manipulation is implemented to simplify the network. …”
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    Thesis
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    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…This algorithm is an exact algorithm that is specifically for finding the shortest route in a network. …”
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    Final Year Project
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    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

    Published 2021
    “…Thereupon, in this study, the WQI prediction model for Penang rivers has been developed by using Artificial Neural Network (ANN) architecture in MATLAB. There are 30 water quality parameters with a total of 1000 samples were obtained from DOE for further model implementation. …”
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    Monograph