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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
    Ramp-rate control smoothing methods to control output power fluctuations from solar photovoltaic (PV) sources�A review

    Ramp-rate control smoothing methods to control output power fluctuations from solar photovoltaic (PV) sources�A review by Sukumar S., Marsadek M., Agileswari K.R., Mokhlis H.

    Published 2023
    Review
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  6. 6
    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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  7. 7
    Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm

    Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm by Lim, Song Wei

    Published 2023
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    Final Year Project / Dissertation / Thesis
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  8. 8
    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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  9. 9
    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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  10. 10
    Cut-off solar charge controller as an alternative towards system efficiency optimization

    Cut-off solar charge controller as an alternative towards system efficiency optimization by Sabry, Ahmad H., Almassri, Ahmed M., Wan Hasan, Wan Zuha, Mohd Radzi, Mohd Amran, Ab Kadir, Mohd Zainal Abidin, Shafie, Suhaidi

    Published 2014
    “…Based on the concept of optimizing the efficiency of the automated solar system in residential buildings application, this paper proposed a High efficiency solar Cut-Off charge controller as an alternative to the main solar charge controller in most conventional buildings solar system, the idea is to design an electronic circuit with low losses as a compared with the conventional charge controller to be a part of the integrated and automated building solar system, the design has an algorithm based on some environment parameters like sun Irradiance and weather temperature, this algorithm seems to be inversely calculated because its start from the value of full charge battery voltage. …”
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  11. 11
    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing

    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

    Published 2022
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  12. 12
    Alternative solar-battery charge controller to improve system efficiency

    Alternative solar-battery charge controller to improve system efficiency by Sabry, Ahmad H., Wan Hasan, Wan Zuha, Ab Kadir, Mohd Zainal Abidin, Mohd Radzi, Mohd Amran, Shafie, Suhaidi

    Published 2015
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  13. 13
    Design and development of a solar based air conditioning blower system for vehicle

    Design and development of a solar based air conditioning blower system for vehicle by Abdullah, Muhammad Amirul, Ahmad, Salmiah, Toha, Siti Fauziah

    Published 2015
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  14. 14
    Solar panel tracker model using PIC16F877A

    Solar panel tracker model using PIC16F877A by Noor Kamal, Noralif Khairrurijaal

    Published 2005
    “…This paper presents an application of a solar panel tracker module that measures the output voltage of solar panel in Photovoltaic (PV) application and tracks the sun's movement in order to get optimum exposure of the sun's irradiance. …”
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    Student Project
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  15. 15
    Fractional chaotic ensemble particle swarm optimizer for identifying the single, double, and three diode photovoltaic models� parameters

    Fractional chaotic ensemble particle swarm optimizer for identifying the single, double, and three diode photovoltaic models� parameters by Yousri D., Thanikanti S.B., Allam D., Ramachandaramurthy V.K., Eteiba M.B.

    Published 2023
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  16. 16
    Development of an automated detector and counter for bagworm census

    Development of an automated detector and counter for bagworm census by Ahmad, Mohd Najib

    Published 2020
    “…There are several recommendations from this study that have been suggested including the use of hyperspectral imaging to detect bagworms, application of radio frequency to detect live bagworms, open system detection of the bagworms, application of pseudo colour concept and method to detect early stage of bagworm attack.…”
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    Thesis
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  17. 17
    A comparative analysis of LSTM, SVM, and GSTANN models for enhancing solar power prediction

    A comparative analysis of LSTM, SVM, and GSTANN models for enhancing solar power prediction by M. Helmy, Muhammad Fareezy Fahmy, Yusoff, Siti Hajar, Mansor, Hasmah, Gunawan, Teddy Surya, Chowdhury, Israth Jahan, Mohd Sapihie, Siti Nadiah

    Published 2024
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  18. 18
    DC-based PV-powered home energy system

    DC-based PV-powered home energy system by Sabry, Ahmad H.

    Published 2017
    “…In residential applications, energy engineers are always looking for optimal utilization of solar power to manage the energy use and reduce its impact on our economy and environment. …”
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    Thesis
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  19. 19
    Intelligent irrigation system energized by solar photovoltaic power

    Intelligent irrigation system energized by solar photovoltaic power by Yousef Abdulbaset Mohammed Alsufyani

    Published 2023
    text::Final Year Project
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  20. 20
    Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm

    Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm by Ibrahim, Olanrewaju Alade, Abd Rahman, Mohd Amiruddin, A. Saleh, Tawfik

    Published 2019
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