Search Results - (( java application using algorithm ) OR ( network representation using algorithm ))

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  1. 1

    Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong by Chong, Chun Yong

    Published 2016
    “…Even if maintainers possess additional information that could be useful to guide and improve the clustering results, traditional clustering algorithms have no way to take advantage of this information. …”
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    Thesis
  2. 2

    Dynamic force-directed graph with weighted nodes for scholar network visualization by Mohd. Aris, Khalid Al-Walid, Ramasamy, Chitra, Mohd Aris, Teh Noranis, Zolkepli, Maslina

    Published 2022
    “…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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    Article
  3. 3

    Development of intelligent 3D solid modeler based on artificial intelligent technique by Mohd. Zain, Azlan, Talib, Mohamad Shukor, Harun, Habibollah, Matondang, Muhammad Zaini, Mardzuki, Samihah

    Published 2008
    “…The framework consists of neural network models for the reconstruction and the hybrid computing algorithm as representation scheme of the reconstructed solid. …”
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    Monograph
  4. 4

    Evaluation of Visual Network Algorithms on Historical Documents by Khairunnisa, Binti Ibrahim

    Published 2020
    “…The evaluation found that FA2 algorithm when combined with MC algorithm produce the best network representation for SAGA. …”
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    Thesis
  5. 5

    Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column by Othman, M. R., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2003
    “…Therefore, an algorithm for the development of process fault detection system in dynamic processes using artificial neural network (ANN) is presented. …”
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    Conference or Workshop Item
  6. 6

    Occupancy grid map algorithm with neural network using array of infrared sensors by N A, Yatim, N, Buniyamin, Z M, Noh, Nur Aqilah, Othman

    Published 2020
    “…In this paper, low cost and noisy sensors such as infrared sensors were used with the occupancy grid map algorithm integrated with a neural network. …”
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    Conference or Workshop Item
  7. 7

    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures by Naseer, S., Ali, R.F., Dominic, P.D.D., Saleem, Y.

    Published 2020
    “…We trained four representation learning models using popular deep neural network architectures to extract deep representations from ISCX 2012 traffic flows. …”
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    Article
  8. 8

    Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar by Abdul Ghafar, Nor Hamidah

    Published 2005
    “…The binary representation was used for the input node of neural network for back propagation training algorithm. …”
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    Student Project
  9. 9

    Identifying the influential spreaders in multilayer interactions of online social networks by Al-Garadi, M.A., Varathan, Kasturi Dewi, Ravana, S.D., Ahmed, E., Chang, V.

    Published 2016
    “…The measurement results are found to be more reliable when the identification algorithms are applied to proposed topological representation compared when these algorithms are applied to single layer representations.…”
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    Article
  10. 10

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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    Final Year Project
  11. 11

    Fast zerox algorithm for routing in optical multistage interconnection networks. by T.D. , Shahida, Othman, Mohamed, Abdullah, M. Khazani

    Published 2010
    “…A new pre-routing technique called the inverse Conflict Matrix (iCM) is also introduced to map all possible conflicts identified between each node in the network as another representation of the standard conflict matrix commonly used in previous Zero-based algorithms. …”
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    Article
  12. 12
  13. 13

    Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows by Zhang, Shasha, Dong, Qiming, Yasin, Megat Al Imran, Fang, Ng Chwee

    Published 2026
    “…During the feature extraction part, different machine-learning models are applied: Bidirectional Encoder Representations from Transformers (BERT) or Enhanced Representation through Knowledge Integration (ERNIE) for text; Convolutional Recurrent Neural Network (CRNN), and Bidirectional Long Short-Term Memory (Bi-LSTM) for audio; and Residual Neural Network (ResNet50) and Inflated 3D Convolutional Network (I3D) for video. …”
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    Article
  14. 14
  15. 15

    SENTIMENT ANALYSIS IN SOCIAL NETWORKS USING NAiVE BAYES ALGORITHM by MAHMOUD, MOHAMED YAHYA

    Published 2011
    “…This report is concerned with the opinion mining and sentiment analysis in social networks especially Twitter, it aims to give a brief insight into the ongoing research in sentiment analysis algorithms and techniques, and graphical representation of the statistical results by applying the sentiment analysis on social networks. …”
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    Final Year Project
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    The design and implementation of a two and three-dimensional triangular irregular network based GIS by Abdul Rahman, Alias

    Published 2000
    “…In the aspect of spatial representation, several major representations are investigated, which then lead to identifying anappropriate representation both for 2D and 3D data, that is triangular irregular network (TIN) data structures. 2D data is represented by a 2D TIN, and 3D data is represented by a 3D TIN (also called a tetrahedral network or TEN). …”
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    Thesis
  18. 18

    Optimization of RFID network planning using MDB-FA method by Elewe, Adel Muhsin, Hasnan, Khalid, Nawawi, Azli

    Published 2017
    “…The generated data are utilized as an input representation to apply into firefly algorithm based on Density-Based Algorithm (DBSCAN) to find the optimal network solution. …”
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    Article
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    Comparison between Lamarckian Evolution and Baldwin Evolution of neural network by Taha, Imad, Inazy, Qabas

    Published 2006
    “…Traditional schema theory does not support Lamatckian learning, i.e, forcing the genetic representation to match the solution found by the learning algorithm. …”
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    Article