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  1. 1
    Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living

    Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living by Hamza, Manar Ahmed, Hassan Abdalla Hashim, Aisha, Motwakel, Abdelwahed, Elhameed, Elmouez Samir Abd, Osman, Mohammed, Kumar, Arun, Singla, Chinu, Munjal, Muskaan

    Published 2024
    “…At last, tuning of parameters related to parallel BiGRU model performed by AOA. An wide set of tests carried out to illustrate better performance of AOADL-TC model. …”
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  2. 2
    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…Therefore generating a good decision model or classification model is a major component in many data mining researches. …”
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  3. 3
    EMG motion pattern classification through design and optimization of neural network

    EMG motion pattern classification through design and optimization of neural network by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2012
    “…The ANN models work in parallel thus providing higher computational performance than traditional classifiers which function sequentially. …”
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  4. 4
    An algorithm for Elliott Waves pattern detection

    An algorithm for Elliott Waves pattern detection by Vantuch, T., Zelinka, I., Vasant, P.

    Published 2018
    “…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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  5. 5
    An algorithm for Elliott Waves pattern detection

    An algorithm for Elliott Waves pattern detection by Vantuch, T., Zelinka, I., Vasant, P.

    Published 2018
    “…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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  6. 6
    EMG motion pattern classification through design and optimization of Neural Network

    EMG motion pattern classification through design and optimization of Neural Network by Md. Rezwanul, Ahsan, Muhammad Ibn, Ibrahimy, Othman Omran, Khalifa

    Published 2012
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  7. 7
    Market prices trend forecasting supported by Elliott Wave's theory

    Market prices trend forecasting supported by Elliott Wave's theory by Vantuch, T., Zelinka, I., Vasant, P.

    Published 2017
    “…The trend prediction is supported by application of recognized Elliot waves which was performed by custom developed algorithm based on available knowledge about the patterns. …”
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  8. 8
    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System

    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System by Ali, Mohammed Hasan, Mohamed Fadli, Zolkipli

    Published 2019
    “…The approach was tested on the KDD Cup99 intrusion detection dataset and the results proved the proposed PSO-RKFLN as an accurate, reliable, and effective classification algorithm.…”
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  9. 9
    Random sampling method of large-scale graph data classification

    Random sampling method of large-scale graph data classification by Rashed Mustafa, Mohammad Sultan Mahmud, Mahir Shadid

    Published 2024
    “…Finally, we classified the graphs of data blocks using the SVM algorithm. In experimental evaluation, our proposed method outperformed state-of-the-art graph kernels on graph classification datasets in terms of accuracy.…”
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  10. 10
    VLSI Design of a neurohardware processor implementing the Kohonen Neural Network algorithm

    VLSI Design of a neurohardware processor implementing the Kohonen Neural Network algorithm by Rajah, Avinash

    Published 2005
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  11. 11
    Efficient Numerical Modelling of Extreme Wave

    Efficient Numerical Modelling of Extreme Wave by Tan , Vi Nie

    Published 2020
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  12. 12
    Efficient Numerical Modelling of Extreme Waves

    Efficient Numerical Modelling of Extreme Waves by Tan, Vi Nie

    Published 2020
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  13. 13
    Improvement of Auditory Brainstem Response (ABR) wave V amplitude using novel MLS nonlinear algorithm

    Improvement of Auditory Brainstem Response (ABR) wave V amplitude using novel MLS nonlinear algorithm by Dzulkarnain, Ahmad Aidil Arafat, Wilson, Wayne, Bradley, Andrew, Nik Mohamad, Nik Amnah, Petoe, Matthew, Smith, Andrew, Jamaluddin, Saiful Adli, Rahmat, Sarah, Moon, Jackie

    Published 2011
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  14. 14
    Use of a non-linear algorithm to improve the maximum length sequence auditory brainstem response

    Use of a non-linear algorithm to improve the maximum length sequence auditory brainstem response by Nik Mohamad, Nik Amnah, Dzulkarnain, Ahmad Aidil Arafat, Wilson, Wayne, Bradley, A. P., Petoe, Matthew, Smith, Andrew, Jamaluddin, Saiful Adli, Rahmat, Sarah, Moon, Jackie

    Published 2012
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  15. 15
    An approximation approach for free space wave propagation

    An approximation approach for free space wave propagation by Hasan, Mohammad Khatim, Sulaiman, Jumat, Othman, Mohamed

    Published 2009
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  16. 16
    Hybrid harmony search-artificial intelligence models in credit scoring

    Hybrid harmony search-artificial intelligence models in credit scoring by Goh, Rui Ying

    Published 2019
    “…With the parallelization of MHS hybrid models, the computational time is effectively reduced, with RF hybrid models faster than SVM hybrid models. …”
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  17. 17
    Use of a non-linear algorithm to improve the maximum length sequence auditory brainstem response

    Use of a non-linear algorithm to improve the maximum length sequence auditory brainstem response by Dzulkarnain, Ahmad Aidil Arafat, Wilson, Wayne, Bradley, Andrew, Nik Mohamad, Nik Amnah, Petoe, Matthew, Smith, Andrew, Jamaluddin, Saiful Adli, Ali Hanafiah, Nurlin

    Published 2012
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  18. 18
    Coherence Function of Wind and Waves ofMetocean Data

    Coherence Function of Wind and Waves ofMetocean Data by Mohamad Nasir, Quailid Rezza

    Published 2011
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  19. 19
    On line fault detection for transmission line using power system stabilizer signals

    On line fault detection for transmission line using power system stabilizer signals by Ali Falifla, Hamza AbuBeker

    Published 2007
    “…Hence, this study will show that not only the PSS able to compensate the damping due to the disturbance but also by using the developed algorithm it succeeds to detect and classify the fault conditions on the parallel transmission lines.…”
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  20. 20
    Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)

    Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) by Alias, Norma, Islam, Md. Rajibul

    Published 2010
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