Search Results - (( parameter simulation model algorithm ) OR ( using vectorization based algorithm ))

Search alternatives:

Refine Results
  1. 1
    A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models

    A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

    Published 2017
    “…Genetic algorithm and simulated annealing techniques are used to optimize the control parameters of the neural network. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant

    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Chun T.S., Malek M.A., Ismail A.R.

    Published 2023
    Article
    Save to List
    Saved in:
  3. 3
    Sensor-less vector control using adaptive observer scheme for controlling the performance of the induction motor / Mazhar Hussain Abbasi

    Sensor-less vector control using adaptive observer scheme for controlling the performance of the induction motor / Mazhar Hussain Abbasi by Mazhar, Hussain Abbasi

    Published 2013
    “…Simulation is done by using the observer which uses optimal feedback gain as an example of process from algorithm design to verification of logic. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance

    Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance by Allawi, Mohammed Falah, Jaafar, Othman, Mohamad Hamzah, Firdaus, Koting, Suhana, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

    Published 2019
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Investigation of throughput and packet drop for Hata model on VANET using NCTUns simulation software for open area and suburban area / Rosmawani Samsudin

    Investigation of throughput and packet drop for Hata model on VANET using NCTUns simulation software for open area and suburban area / Rosmawani Samsudin by Samsudin, Rosmawani

    Published 2012
    “…The investigation was done from 5 to up 20 V ANET nodes. The algorithms considered are Ad-hoc On-demand Distance Vector (AODV) protocol. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Cauchy density-based algorithm for VANETs clustering in 3D road environments

    Cauchy density-based algorithm for VANETs clustering in 3D road environments by Jubair, Mohammed Ahmed, Ahmad, Mohd Riduan, Abdul Aziz, Izzatdin, Al-Obaidi, Ahmed Salih, Al-Tickriti, Abdullah Talaat, Hassan, Mustafa Hamid, Mostafa, Salama A., Mahdin, Hairulnizam

    Published 2022
    “…This paper attempts to solve the problem of VANETs in 3D road environments using a centralized clustering technique to develop a Cauchy density model. The model has been simulated by considering several simulation parameters including traffic, mobility, driving behavior, and road curvature. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Satellite attitude tracking control using thrusters and momentum wheels

    Satellite attitude tracking control using thrusters and momentum wheels by Okasha, Mohamed Elsayed Aly Abd Elaziz, Idres, Moumen, Abdul Ghaffar, Alia Farhana

    Published 2018
    “…The dynamic model is derived based on Newton-Euler approach and Modified Rodrigues Parameters (MRPs) are used to represent attitude kinematics. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  8. 8
    Satellite attitude tracking control using Lyapunov control theory

    Satellite attitude tracking control using Lyapunov control theory by Okasha, Mohamed Elsayed Aly Abd Elaziz, Idres, Moumen, Ghaffar, Alia

    Published 2019
    “…The dynamic model is derived based on Newton-Euler approach and Modified Rodrigues Parameters (MRPs) are used to represent attitude kinematics. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant

    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Ting, Sie Chun, Abdul Malik, Marlinda, Ismail, Amelia Ritahani

    Published 2015
    “…In this paper, we adopt the clonal selection algorithm (CSA) to set up a prediction model, with a wellestablished method – namely the least-square support vector machine (LS-SVM) as a baseline model. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Modelling and simulation of powertrain system for electric car

    Modelling and simulation of powertrain system for electric car by Fadul, Saber Mohammed Elnour, Aris, Ishak, Misron, Misron, Abdul Halin, Izhal, A. K. M., Parez Iqbal

    Published 2018
    “…This paper presents a study using Matlab/Simulink on vehicle parameters based on modelling and simulation of an electric car dynamics when integrated with an induction motor powered by Li-ion battery. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    A new history matching sensitivity analysis framework with random forests and Plackett-Burman design

    A new history matching sensitivity analysis framework with random forests and Plackett-Burman design by Aulia, A., Jeong, D., Mohd Saaid, I., Shuker, M.T., El-Khatib, N.A.

    Published 2017
    “…Hence, parameters with low impact on the history matching error are discarded, and the remaining are used for Genetic Algorithm-based automatic history matching. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu

    Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu by Abdul Mannan, Dadu

    Published 2018
    “…The proposed control technique adopts 6 active voltage vectors in the discrete predictive model among 14 available active vectors based on the position of the future reference vector. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    A multi-attribute decision model for intrusion response system

    A multi-attribute decision model for intrusion response system by Fessi, B. A., Benabdallah, S., Boudriga, N., Hamdi, M.

    Published 2014
    “…The decision model parameters are represented by vectors modeling the different attributes that are respectively: financial cost, reputation loss, and processing resources. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani

    Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani by Ehsan Taslimi , Renani

    Published 2018
    “…The formula comprises of unknown vector parameters of MHTan which can be determined based on MLE. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar

    Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar by Anuwar, Fahteem Hamamy

    Published 2012
    “…The simulations will be done using the PSCAD/EMTDC software. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    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
    “…We decided to use AdaBoost with different base models, including Gaussian Process Regression (GPR), support vector regression (SVR), and decision tree (DT). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems

    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

    Published 2005
    “…Low-complexity spectral-based estimators are used for the estimation of direction and spatial spread of the distributed source by employing the proposed channel model for simulation. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    A New Method Of Speed Sensorless Control For Permanent Magnet Synchronous Motor

    A New Method Of Speed Sensorless Control For Permanent Magnet Synchronous Motor by Samat, Ahmad Asri Abd

    Published 2019
    “…The performance of the proposed scheme is validated in Matlab/Simulink and obtained results are compared with conventional scheme. A simulation using MATLAB/Simulink software is conducted to investigate the feasibility of the proposed algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review

    Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review by Al-Sabaeei, A.M., Alhussian, H., Abdulkadir, S.J., Jagadeesh, A.

    Published 2023
    “…Comparing ML predictive models based on field, experimental, and simulation data for various pipeline failures can establish reliable and cost-effective monitoring systems for the entire pipeline network. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data

    Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data by Sleabi, Waleed Dhhan

    Published 2016
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: