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  1. 1
    A novel methodology for hydrocarbon depth prediction in seabed logging: Gaussian process-based inverse modeling of electromagnetic data

    A novel methodology for hydrocarbon depth prediction in seabed logging: Gaussian process-based inverse modeling of electromagnetic data by Daud, H., Mohd Aris, M.N., Mohd Noh, K.A., Dass, S.C.

    Published 2021
    “…Seabed logging (SBL) is an application of electromagnetic (EM) waves for detecting potential marine hydrocarbon-saturated reservoirs reliant on a source-receiver system. …”
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  2. 2
    Development of a State-Space Observer for Active Noise Control Systems

    Development of a State-Space Observer for Active Noise Control Systems by Muhssin, Mazin T.

    Published 2009
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  3. 3
    Evaluation of time-domain features for motor imagery movements using FCM and SVM

    Evaluation of time-domain features for motor imagery movements using FCM and SVM by Khorshidtalab, Aida, Salami, Momoh Jimoh Eyiomika, Hamedi , Mahyar

    Published 2012
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  4. 4
    Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation

    Inversion Of Surface Wave Phase Velocity Using New Genetic Algorithm Technique For Geotechnical Site Investigation by Hamimu, La

    Published 2011
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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
    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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  7. 7
    A WAVELET BASED SIGNAL DENOISING AND HYDROCARBON PREDICTION ALGORITHM FOR A NEW MARINE CSEM ANTENNA DESIGN

    A WAVELET BASED SIGNAL DENOISING AND HYDROCARBON PREDICTION ALGORITHM FOR A NEW MARINE CSEM ANTENNA DESIGN by NYAMASVISVA, TADIWA ELISHA

    Published 2017
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  8. 8
    Design and implementation of cordic algorithm with sinusoidal pulse width modulation switching strategy

    Design and implementation of cordic algorithm with sinusoidal pulse width modulation switching strategy by Madzzaini, Nur Sofea Eleena

    Published 2017
    “…In addition, CORDIC algorithm has a low usage of memory space compared to Look Up table (LUT) technique. …”
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  9. 9
    Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data

    Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

    Published 2007
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  10. 10
    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
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  11. 11
    Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks

    Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks by Al-Mekhlafi, Zeyad Ghaleb Aqlan, Mohd Hanapi, Zurina, Othman, Mohamed, Ahmad Zukarnain, Zuriati, Shamsan Saleh, Ahmed M.

    Published 2018
    “…As a result, it is more suitable and harder to identify demands in all applications. …”
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  12. 12
    Multi-user mmWave MIMO channel estimation with hybrid Beamforming over frequency selective fading channels

    Multi-user mmWave MIMO channel estimation with hybrid Beamforming over frequency selective fading channels by Uwaechia, Anthony Ngozichukwuka, Mahyuddin, Nor Muzlifah, Ain, Mohd Fadzil, Abdul Latiff, Nurul Muazzah, Za'bah, Nor Farahidah

    Published 2020
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  13. 13
    Optical soliton perturbation with quadratic-cubic nonlinearity / Mir Asma

    Optical soliton perturbation with quadratic-cubic nonlinearity / Mir Asma by Mir, Asma

    Published 2020
    “…This study is an addendum to the previously reported results on optical solitons solely, in view of the fact that, its fundamental nature as well as its potential applications to optoelectronic communication. …”
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  14. 14
    On the spectra efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems

    On the spectra efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems by Uwaechia, Anthony Ngozichukwuka, Mahyuddin, Nor Muzlifah, Mohd Fadzil, Ain, Abdul) Latiff, Nurul Muazzah, Za'bah, Nor Farahidah

    Published 2019
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  15. 15
    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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  16. 16
    INNOVATIVE METHODOLOGY AND ALGORITHMS FOR SOLVING GEOPHYSICAL INVERSE PROBLEMS

    INNOVATIVE METHODOLOGY AND ALGORITHMS FOR SOLVING GEOPHYSICAL INVERSE PROBLEMS by PRAJAPATI, SRICHAND

    Published 2017
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  17. 17
    Data clustering using the bees algorithm

    Data clustering using the bees algorithm by Pham, D.T, Otri, S., Afify, A., Mahmuddin, Massudi, Al-Jabbouli, H.

    Published 2007
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  18. 18
    Healthcare Data Analysis Using Water Wave Optimization-Based Diagnostic Model

    Healthcare Data Analysis Using Water Wave Optimization-Based Diagnostic Model by Kaur, Arvinder, Kumar, Yugal

    Published 2021
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  19. 19
    Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster

    Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster by Wan Maseri, Wan Mohd, Beg, Abul Hashem, Tutut, Herawan, K., F.Rabbi

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  20. 20
    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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