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  1. 1
    Optical soliton perturbation with quadratic-cubic nonlinearity / Mir Asma

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

    Published 2020
    “…The spectrum of soliton solutions, that emerge from these algorithms are of bright, dark singular and combo solitons, which depends on the sign of discriminant and these findings are illustrated numerically too. …”
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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
    “…Based on this knowledge, an algorithm for detection of these patterns is designed, developed and tested. …”
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  3. 3
    An algorithm for Elliott Waves pattern detection

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

    Published 2018
    “…Based on this knowledge, an algorithm for detection of these patterns is designed, developed and tested. …”
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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    ENHANCED WEIGHT OPTIMIZED RECURRENT NEURAL NETWORKS BASED ON SINE COSINE ALGORITHM FOR WAVE HEIGHT PREDICTION

    ENHANCED WEIGHT OPTIMIZED RECURRENT NEURAL NETWORKS BASED ON SINE COSINE ALGORITHM FOR WAVE HEIGHT PREDICTION by ALQUSHAIBI, ALAWI ALI ALI MANEA

    Published 2021
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  8. 8
    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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  9. 9
    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
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  10. 10
    Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations

    Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations by Hossain, S.K.S., Ayodele, B.V., Alhulaybi, Z.A., Alwi, M.M.A.

    Published 2022
    “…The RBFNN model with softmax as the hidden layer activation function and identity as the outer layer activation function has the least predictive performance, as indicated by an R2 of 0.403 and a RMSE of 301.55. …”
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  11. 11
    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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  12. 12
    RTTV-TCP: Adaptive congestion control algorithm based on RTT variations for mmWave networks

    RTTV-TCP: Adaptive congestion control algorithm based on RTT variations for mmWave networks by Alramli, Omar Imhemed, Mohd Hanapi, Zurina, Othman, Mohamed, Ahmad, Idawaty, Samian, Normalia

    Published 2024
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  13. 13
    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement

    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement by Abdul Rahman, Nor Farahaida

    Published 2016
    “…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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  14. 14
    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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  15. 15
    MSS-TCP: a congestion control algorithm for boosting TCP performance in mmwave cellular networks

    MSS-TCP: a congestion control algorithm for boosting TCP performance in mmwave cellular networks by Alramli, Omar Imhemed, Mohd Hanapi, Zurina, Othman, Mohamed, Samian, Normalia, Ahmad, Idawaty

    Published 2025
    “…This paper proposes MSS-TCP, a novel congestion control algorithm designed for mmWave networks. MSS-TCP dynamically adjusts the congestion window (cwnd) based on the maximum segment size (MSS) and round-trip time (RTT), improving bandwidth utilization and congestion adaptability. …”
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  16. 16
    Evaluation of lightning return stroke current using measured electromagnetic fields

    Evaluation of lightning return stroke current using measured electromagnetic fields by Mahdi, Izadi

    Published 2012
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  17. 17
    Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation

    Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation by Mehrkanoon, S., Moghavvemi, M., Fariborzi, H.

    Published 2007
    “…The time variant mixing matrix based on random vector with time variable elements are made. Several simulations obtain optimum results of implemented algorithm. …”
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  18. 18
    Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors

    Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors by Binajjaj, Saeed Ali Saeed

    Published 2010
    “…The image reconstruction algorithm was based on the gradient minimization of an augmented cost function defined as the difference between measured and calculated fields. …”
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  19. 19
    Cardiac abnormality prediction using tansig based multilayer perceptron

    Cardiac abnormality prediction using tansig based multilayer perceptron by Mohanty, Sibani Priyadarshini, Syahrull Hi-Fi Syam Ahmad Jamil, Jailani Abdul Kadir, Mohd Salman Mohd Sabri, Fakroul Ridzuan Hashim

    Published 2021
    “…In this study, ANN will be trained for pre-testing to predict the cardiac abnormalities symptom based on selected reference parameters. This reference parameter is better known as the input parameter to the ANN to detect cardiac abnormalities, among which are the of the height of peak/wave (amplitude) and time occurrence of peak/wave (duration of time) extracted from the electrocardiogram (ECG) signal. …”
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  20. 20
    Analysis of Rectangular and Circular Wave Guide.

    Analysis of Rectangular and Circular Wave Guide. by Wong, Eric Vun Shiung

    Published 2016
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    Final Year Project / Dissertation / Thesis
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