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  1. 1
    Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm

    Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm by Muhsen, Yousif Raad, Husin, Nor Azura, Zolkepli, Maslina, Manshor, Noridayu, Al-Hchaimi, Ahmed Abbas Jasim, Ridha, Hussein Mohammed

    Published 2023
    “…In this research, we propose a prediction model-based ANN with a Metaheuristic Optimization approach for predicting the utilized routing algorithm by the NoC-based MPSoC platform during the DSE in order to reduce the time required to specify the NoC-based MPSoC platform con‚gurations. …”
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  2. 2
    A simulation study of a new rate-and-queue-based active queue management algorithm

    A simulation study of a new rate-and-queue-based active queue management algorithm by Ali Asghar, Jomah Adham, Razman, Mat Tahar

    Published 2012
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  3. 3
    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub Md. Som

    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

    Published 2014
    “…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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  4. 4
    Automatic control of flotation process using computer vision

    Automatic control of flotation process using computer vision by Saravani, Ali Jahed

    Published 2015
    “…The performance of improved marker based watershed algorithm was validated by using several industrial and laboratory froth images. …”
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  5. 5
    Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure

    Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure by Othman, Mohamad Lutfi

    Published 2011
    “…The high prediction accuracy rate and the close-to-unity area under curve (AUC) value of ROC curve of the discovered relay decision algorithm (prediction rules) from the Rough-Set-Theory-and-Genetic-Algorithm data mining verified the algorithm’s generalized ability to predict as well as discriminate future unknown-trip-status relay events. …”
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  6. 6
    Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation

    Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation by Mohamed, Shakir, Qidwai, Uvais, Malik, Aamir Saeed, Kamel , Nidal

    Published 2015
    “…A novel work has been done in producing simulated data based on empirical models of the real waveforms. …”
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  7. 7
    Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893)

    Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

    Published 2017
    “…Hence, the spiking neural network for reward-based learning is proposed because the SNNs models simulate the biological neural system more closely and they can also process the spatio-temporal data. …”
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  8. 8
    ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation

    ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation by Hannan M.A., Abdolrasol M.G., Mohamed R., Al-Shetwi A., Ker P., Begum R., Muttaqi K.

    Published 2023
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  9. 9
    Characterization of dumping soil and settlement prediction using Monte Carlo approach

    Characterization of dumping soil and settlement prediction using Monte Carlo approach by Mohd Pauzi, Nur Irfah

    Published 2013
    “…These models are soil mechanics based model, Bjarngard and Edgers model, Power Creep function, hyperbolic function and rheological function. …”
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  10. 10
    A comparative study on sand transport modeling for horizontal multiphase pipeline

    A comparative study on sand transport modeling for horizontal multiphase pipeline by Choong, K.W., Wen, L.P., Tiong, L.L., Anosike, F., Shoushtari, M.A., Saaid, I.B.M.

    Published 2014
    “…There is no explicit calculation algorithm for sand transportation modeling readily available in flow simulators. …”
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  11. 11
    Voting algorithms for large scale fault-tolerant systems

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…The results of analytical modeling, based on different values of N, M, λ (failure rate), and μ (repair rate) demonstrated that the availability and reliability of the analytical modeling verify simulation result. …”
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  12. 12
    RESERVOIR PERFORMANCE PREDICTION IN STEAM HUFF AND PUFF INJECTION USING PROXY MODELLING

    RESERVOIR PERFORMANCE PREDICTION IN STEAM HUFF AND PUFF INJECTION USING PROXY MODELLING by MERDEKA, MOHAMMAD GALANG

    Published 2023
    “…Therefore, developing predictive proxy models using machine learning algorithms is a suitable solution to address this concern. …”
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  13. 13
    EEG Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation

    EEG Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation by Shakir, Mohamed, Qidwai, Uvais, Malik, Aamir Saeed, Kamel, Nidal

    Published 2015
    “…A novel work has been done in producing simulated data based on empirical models of the real waveforms. …”
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  14. 14
    Control of industrial gas phase propylene polymerization in fluidized bed reactors

    Control of industrial gas phase propylene polymerization in fluidized bed reactors by Ho, Y.K., Shamiri, A., Mjalli, F.S., Hussain, Mohd Azlan

    Published 2012
    “…In this case, the Adaptive Predictive Model-Based Control (APMBC) strategy (an integration of the Recursive Least Squares algorithm, RLS and the Generalized Predictive Control algorithm, GPC) was employed to control the polypropylene production rate and emulsion phase temperature by manipulating the catalyst feed rate and reactor cooling water flow, respectively. …”
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  15. 15
    NARXNN modeling of ultrafiltration process for drinking water treatment

    NARXNN modeling of ultrafiltration process for drinking water treatment by Razali, Mashitah Che, Wahab, Norhaliza Abdul, Sunar, Noorhazirah, Shamsudin, Nur Hazahsha, Gaya, Muhammad Sani, Zainal, Azavitra

    Published 2024
    “…The simulation results demonstrate that proposed NARXNN modelling able to give high prediction rate with R value of 0.91743. …”
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  16. 16
    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques

    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques by Farhan, Farhan Abdel-Fattah Ahmad

    Published 2011
    “…The transductive conformal prediction and outlier detection have been employed for feature selection algorithm. …”
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  17. 17
    Survival modelling, missing values and frailty with application to cervical cancer data / Nuradhiathy Abd Razak

    Survival modelling, missing values and frailty with application to cervical cancer data / Nuradhiathy Abd Razak by Nuradhiathy, Abd Razak

    Published 2016
    “…Thus, this study investigates the tests properties, and found that the modified score test performs better than the other tests based on the convergence rate and power of the test via simulation.…”
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  18. 18
    Bio-signal identification using simple growing RBF-network (OLACA)

    Bio-signal identification using simple growing RBF-network (OLACA) by Asirvadam , Vijanth Sagayan, McLoone, Sean, Palaniappan, R

    Published 2007
    “…Simulation results show the modeled data show good representation of the original signals with less prediction error.…”
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  19. 19
    Novel and accurate mathematical simulation of various models for accurate prediction of surface tension parameters through ionic liquids

    Novel and accurate mathematical simulation of various models for accurate prediction of surface tension parameters through ionic liquids by Rami J. Obaid, Hossam Kotb, Amal M. Alsubaiyel, Jalal Uddin, Mohd Sani Sarjadi, Md. Lutfor Rahman, Saleh A. Ahmed

    Published 2023
    “…Despite great precision, some major shortcomings such as high cost and health related problems caused the researchers to develop mathematical models based on artificial intelligence (AI) approach to predict surface tension theoretically. …”
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  20. 20
    Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar

    Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar by Md. Rasel, Sarkar

    Published 2019
    “…In addition, ANFIS approach is implemented to predict the �436�45D of wind turbine blades for investigation of algorithms performance based on Coefficient Determination (R2) and Root Mean Square Error (RMSE). …”
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