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  1. 1
    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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  2. 2
    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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  3. 3
    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks

    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

    Published 2025
    thesis::doctoral thesis
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  4. 4
    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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  5. 5
    Machine learning approach for stress detection based on alpha-beta and theta-beta ratios of EEG signals

    Machine learning approach for stress detection based on alpha-beta and theta-beta ratios of EEG signals by Altaf, Hunain, Ibrahim, Siti Noorjannah, Mohd Azmin, Nor Fadhillah, Asnawi, Ani Liza, Walid, Balqis Hanisah, Harun, Noor Hasmiza

    Published 2021
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    Proceeding Paper
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  6. 6
    Water wave optimization with deep learning driven smart grid stability prediction

    Water wave optimization with deep learning driven smart grid stability prediction by Mustafa Hilal, Anwer, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, Alamgeer, Mohammad, K. Nour, Mohamed, Abdelrahman, Anas, Motwakel, Abdelwahed

    Published 2022
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  7. 7
    A review of wave-net identical learning & filling-in in a decomposition space of (JPG-JPEG) sampled images

    A review of wave-net identical learning & filling-in in a decomposition space of (JPG-JPEG) sampled images by Al-Azzawi, Alaa Khamees, Saripan, M. Iqbal, Jantan, Adznan, O. K. Rahmat, Rahmita Wirza

    Published 2010
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  8. 8
    Factors with retirement behaviour among retirees and pre-retirees identified with a machine learning method / Muhammad Aizat Zainal Alam

    Factors with retirement behaviour among retirees and pre-retirees identified with a machine learning method / Muhammad Aizat Zainal Alam by Muhammad Aizat , Zainal Alam

    Published 2023
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  9. 9
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
    text::Thesis
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  10. 10
    Neural network approach of harmonics detection

    Neural network approach of harmonics detection by Zin, A.A.M, Rokonuzzaman, M., Shaibon, H., Lo, K.I.

    Published 1998
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  11. 11
    Selective opposition based constrained barnacle mating optimization: Theory and applications

    Selective opposition based constrained barnacle mating optimization: Theory and applications by Ahmed, Marzia, Mohd Herwan, Sulaiman, Hassan, Md. Maruf, Rahaman, Md. Atikur, Abdullah, Masuk

    Published 2024
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  12. 12
    Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods

    Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods by Mohammed Alsumaidaee Y.A., Yaw C.T., Koh S.P., Tiong S.K., Chen C.P., Yusaf T., Abdalla A.N., Ali K., Raj A.A.

    Published 2024
    “…Recent years have seen the successful use of Deep Learning (DL) applications for corona and non-corona detection, owing to their autonomous feature learning capability. …”
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  13. 13
    Towards scalable algorithm for closed itemset mining in high-dimensional data

    Towards scalable algorithm for closed itemset mining in high-dimensional data by Md. Zaki, Fatimah Audah, Zulkurnain, Nurul Fariza

    Published 2017
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  14. 14
    Application Of Exact String Matching Algorithms Towards SMILES Representation Of Chemical Structure.

    Application Of Exact String Matching Algorithms Towards SMILES Representation Of Chemical Structure. by Klaib, Ahmad Fadel, Zainol, Zurinahni, Ahamed Hassain Malim, Nurul Hashimah, Ahmad, Rosma, Hussin, Wahidah

    Published 2007
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  15. 15
    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi

    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi by Hayder Faeq Rasool , Alhashimi

    Published 2025
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  16. 16
    Access control and classifier-based blockchain technology in e-healthcare applications

    Access control and classifier-based blockchain technology in e-healthcare applications by Maseleno A., Hashim W., Perumal E., Ilayaraja M., Shankar K.

    Published 2023
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  17. 17
    Bayesian Network Classifiers for Damage Detection in Engineering Material

    Bayesian Network Classifiers for Damage Detection in Engineering Material by Mohamed Addin, Addin Osman

    Published 2007
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  18. 18
    Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation

    Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation by Tan , Khang Siang

    Published 2011
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  19. 19
    Shape assignment by genetic algorithm towards designing optimal areas

    Shape assignment by genetic algorithm towards designing optimal areas by Md Badaruddin, Ismadi, Md Sultan, Abu Bakar, Sulaiman, Md. Nasir, Mamat, Ali, Tengku Muda Mohamed, Mahmud

    Published 2010
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  20. 20
    Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey

    Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey by Ukasyah Mahamod, Ibraheem Shayea, Hafizal Mohamad, Marinah Othman, Fauzun Abdullah Asuhaimi

    Published 2024
    journal::journal article
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