Search Results - (( motion extraction path algorithm ) OR ( time estimation case algorithm ))

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  1. 1
    Feature extraction: hand shape, hand position and hand trajectory path

    Feature extraction: hand shape, hand position and hand trajectory path by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

    Published 2011
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  2. 2
    LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.

    LASSO-type estimations for threshold autoregressive and heteroscedastic time series models. by Muhammad Jaffri Mohd Nasir

    Published 2020
    “…In this thesis, we propose Least Absolute Shrinkage and Selection Operator (LASSO) type estimators to perform simultaneous parameter estimation and model selection for five specific univariate and multivariate time series models, and develop several algorithms to compute these estimators. …”
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    UMK Etheses
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  3. 3
    Parameter estimation of cocomo model using the jaya algorithm for software cost estimation

    Parameter estimation of cocomo model using the jaya algorithm for software cost estimation by Tan, Jie Chee

    Published 2019
    “…The Constructive Cost Model (COCOMO) is a procedural software cost estimation model developed by Barry W. Boehm. In this case, the estimation of value of the COCOMO model parameters are determined for the cost and time estimation of the COCOMO model. …”
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    Undergraduates Project Papers
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  4. 4
    Simulated Kalman Filter algorithms for solving optimization problems

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…These algorithms are inspired by the estimation capability of the well-known Kalman filter estimation method. …”
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  5. 5
    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
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  6. 6
    Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm

    Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm by Mohammed, Zahraa Abdulkareem

    Published 2017
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  7. 7
    River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms—A Case Study in Malaysia

    River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms—A Case Study in Malaysia by Mustafa, M.R., Rezaur, R.B., Saiedi, Saied, Isa, M.H.

    Published 2012
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    Citation Index Journal
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  8. 8
    Visual servo algorithm of robot arm simulation for dynamic tracking and grasping application

    Visual servo algorithm of robot arm simulation for dynamic tracking and grasping application by Rishi Arran Suppramaniam, Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, Seri Mastura Mustaza, Asraf Mohamed Moubark

    Published 2022
    “…Future works are required to improve the dynamic visual servo algorithm with motion planning when obstacles are present in the path of robot grasping.…”
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  9. 9
    Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data

    Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data by Aljawdi, Bader

    Published 2011
    “…Then, a series of simulation studies was conducted to evaluate the performance of the proposed estimation approaches. This research investigated the non-parametric maximum likelihood estimation method for cure rate estimation by considering two common estimators for the survival function: 1) The Kaplan Meier (KM) estimator, which is suitable for the right censoring case; and 2) The Turnbull Estimator, which is suitable for the interval type of data censoring. …”
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  10. 10
    Codebook excited linear predictive coding

    Codebook excited linear predictive coding by Shah, Asadullah, Shaikh, Muniba

    Published 2011
    “…Because ofthe limitations ofthe coding build blocks the estimated filter parameters case as the estimation errors in a result speech quality suffers degradations. …”
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  11. 11
    Time-domain RLS-based channel estimation for MIMO OFDM systems

    Time-domain RLS-based channel estimation for MIMO OFDM systems by Saeed, Mohammed Abdo, Mohd Ali, Borhanuddin, Ismail, Mahamod, Khatun, Sabira, Noordin, Nor Kamariah

    Published 2007
    “…In this paper, an adaptive channel estimation scheme for MIMO OFDM systems based on time-domain training and recursive least squared (RLS) algorithm is proposed. …”
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  12. 12
    An adaptive block-based matching algorithm for crowd motion sequences

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…Therefore, a novel estimation algorithm is proposed to measure the motion of crowd with less computational complexity and satisfy the real time requirements. …”
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  13. 13
    An adaptive block-based matching algorithm for crowd motion sequences

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…Therefore, a novel estimation algorithm is proposed to measure the motion of crowd with less computational complexity and satisfy the real time requirements. …”
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  14. 14
    Time Varying Channel Estimation for Amplify-and-Forward Relay Network

    Time Varying Channel Estimation for Amplify-and-Forward Relay Network by Rabbi, M. F., Yusnita, Rahayu, Kamarul Hawari, Ghazali

    Published 2015
    “…Then a Least Square (LS) and a Linear MMSE (LMMSE) based algorithm is applied to estimate BEM coefficients which are used for channel reconstruction later. …”
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  15. 15
    Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array

    Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array by Alkhafaji, Falih Salih

    Published 2019
    “…The main objective is to improve the speed performance of DC motor based PI controller in terms of dead (td), rise time(tr), settling times(ts) by estimating precise TF, improving GA performances, and enhancing architecture design to be integrated on Field Programmable Gate Array(FPGA). …”
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  16. 16
    Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems

    Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems by Wong , Teck Sing

    Published 2016
    “…In this thesis, a fuel gauge algorithm design is proposed to increase estimation accuracy of the state of charge (SOC) of the Li-ion battery. …”
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  17. 17
    An efficient model for indoor radio signal prediction and coverage estimation / Md. Sumon Sarker

    An efficient model for indoor radio signal prediction and coverage estimation / Md. Sumon Sarker by Md. Sumon, Sarker

    Published 2011
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  18. 18
    Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method

    Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method by Nor Haizan, Binti Jamali

    Published 2020
    “…The Forward-Backward Time-Stepping - Total Variation (FBTS-TV) regularization algorithm is in a two-dimensional case and implemented in C++ language executed in single computing. …”
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  19. 19
    System Identification of XY Table ballscrew drive using parametric and non parametric frequency domain estimation via deterministic approach

    System Identification of XY Table ballscrew drive using parametric and non parametric frequency domain estimation via deterministic approach by Abdullah, Lokman, Jamaludin, Zamberi, Tsung Heng, Chiew, RAFAN, NUR AIDAWATY, syed mohamed, muhammad syafiq

    Published 2012
    “…In addition, comparison of estimated model transfer function obtained via non-linear least square (NLLS) and Linear least square estimator algorithm were also being addressed. …”
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  20. 20
    Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia

    Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia by Zulkarnain, Norsyahidah, Abdul Hadi, Muhammad Salihi, Mohammad, Nurul Farahain, Shogar, Ibrahim

    Published 2023
    “…This time dependency treatment is necessary as the epidemiological parameters such as infection rate β, recovery rate γ, and death rate μ usually change over time. …”
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