Search Results - (( java implementation learning algorithm ) OR ( using single layer algorithm ))

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  1. 1

    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
  2. 2

    Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system by -, -

    Published 2019
    “…The real-time contour generation approach instantly generates single layer of contour whenever the build height parameter is fed into the algorithm. …”
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    Research Report
  3. 3

    Contour generation for mask projection stereolithography 3D printing by Faeiz Azizi, Adnan

    Published 2019
    “…The real-time contour generation approach instantly generates single layer of contour whenever the build height parameter is fed into the algorithm. …”
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    Thesis
  4. 4

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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    Conference or Workshop Item
  5. 5

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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    Thesis
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    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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    Thesis
  8. 8

    Cross layer design in 802.16d by Al-Hemyari, Ali, Qassem, Y. A., Ng, Chee Kyun, Noordin, Nor Kamariah, Ismail, Alyani, Khatun, Sabira

    Published 2009
    “…The construction of the routing path with multi-channel single transceiver system and single channel single transceiver is proposed together with centralized scheduling (CS) algorithms that reduce the existing interferences in WMN. …”
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    Article
  9. 9

    Classification of multichannel EEG signal by single layer perceptron learning algorithm by Hasan, Mohammad Rubaiyat, Ibrahimy, Muhammad Ibn, Motakabber, S. M. A., Shahid, Shahjahan

    Published 2014
    “…Motor imagery (MI) related Electroencephalogram (EEG) signal classification is one of the main challenge in designing a brain computer interface (BCI) system. Single Layer Perceptron Learning (SLPL) algorithm has a very low computational requirement which makes it suitable for online BCI system. …”
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    Proceeding Paper
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    Reducing network congestion by separating nets of single-row networks into layers by Noraziah, Ahmad, Herawan, Tutut, Noriyani, Mohd Zin, Mustafa, Mat Deris, Zailani, Abdullah

    Published 2011
    “…These results may further be improved by partitioning the network into two or more layers. In this paper, a technique for partitioning the nodes from a single-row network into several layers of planar graphs by using k-means algorithm has been proposed. …”
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    Article
  12. 12

    Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries by Fadzli, S.A., Abdulkadir, S.I., Makhtar, M., Jamal, A.A.

    Published 2016
    “…Previously, the algorithm was used to optimise single parameter (such as distance, time and fuel) for movement between two places. …”
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    Conference or Workshop Item
  13. 13

    Improvement of Centralized Routing and Scheduling Using Cross-Layer Design and Multi-Slot Assignment in Wimax Mesh Networks by Al-Humairi, Ali Zuhair Abdulameer

    Published 2009
    “…This thesis proposes an optimized strategy namely cross-layer design in routing algorithms used find the best route for all SSs and scheduling algorithms, used to assign a time slot for each possible node transmission. …”
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    Thesis
  14. 14

    Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

    Published 2024
    “…Then, a single hidden layer of FNN based on Chelyshkov polynomials with an extreme learning machine algorithm (SHLFNNCP-ELM) is constructed for solving FDEsC. …”
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    Thesis
  15. 15

    Functional link neural network with modified bee-firefly learning algorithm for classification task by Mohmad Hassim, Yana Mazwin

    Published 2016
    “…The single layer property of FLNN also make the learning algorithm used less complicated compared to MLP network. …”
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    Thesis
  16. 16

    Minimize Network Congestions in Single-Row Networks by Noraziah, Ahmad, Noriyani, Mohd Zin, Abdalla, Ahmed N., Norazaliza, Mohd Jamil

    Published 2011
    “…These results may further be improved by partitioning the network into two or more layers. In this paper, a technique based on the graph clustering concept for partitioning the nodes from a single-row network into several layers of planar graphs by using k-means algorithm has been proposed. …”
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    Article
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    Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding by Mahmoud, Omer, Anwar, Farhat, Salami, Momoh Jimoh Emiyoka

    Published 2007
    “…Based on Gradient Descent, Conjugate Gradient, Quasi-Newton techniques three different error back propagation algorithms have been developed for use in training two types of neural networks, a single hidden layer network and three hidden layers network. …”
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    Article
  19. 19

    Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar by Abd Ghafar, Muhamad Azfar

    Published 2015
    “…This paper present a study of fault classification in transmission line with a combination of wavelet transform (WT) and single layer feed-forward network (SLFN) trained by Extreme Learning Machine (ELM) algorithm. …”
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    Thesis
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    Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar by Abd Ghafar, Muhamad Azfar

    Published 2015
    “…This paper present a study of fault classification in transmission line with a combination of wavelet transform (WT) and single layer feed-forward network (SLFN) trained by Extreme Learning Machine (ELM) algorithm. …”
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    Student Project