Search Results - (( parameter estimation based algorithm ) OR ( pattern estimation using algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3
  4. 4

    Modeling the impacts of constant price GDP and population on CO2 emissions using Cobb-Douglas model and ant colony optimization algorithm by Hafizan, Juahir, Sukono, ., Subartini, B, Thalia, P, Supian, S., Lesmana, E, Budiono, R

    Published 2019
    “…Modeling is done by using Cobb-Douglas model production function, where parameter estimation is done by using ant colony optimization algorithm. …”
    Get full text
    Get full text
    Conference or Workshop Item
  5. 5

    Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

    Published 2017
    “…MVPA-CNN based proposed algorithm is compared with region of interest (ROI) based method and MVPA based estimated values. …”
    Get full text
    Get full text
    Article
  6. 6

    Expectation maximization clustering algorithm for user modeling in web usage mining system by Mustapha, Norwati, Jalali, Manijeh, Jalali, Mehrdad

    Published 2009
    “…In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. …”
    Get full text
    Get full text
    Article
  7. 7
  8. 8

    Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff by Mohd Yusoff, Mohd Izhan

    Published 2014
    “…Due to the complexity of GMM, we use Expectation Maximization (or EM) algorithm by Dempster et al. (1977) to obtain the maximum likelihood estimates of the GMM parameters. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9

    Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm by Farzin, Saeed, Singh, Vijay, Karami, Hojat, Farahani, Nazanin, Ehteram, Mohammad, Kisi, Ozgur, Allawi, Mohammed Falah, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

    Published 2018
    “…The present study attempted to develop a three-parameter Muskingum model considering lateral flow for flood routing, coupling with a new optimization algorithm namely, Improved Bat Algorithm (IBA). …”
    Get full text
    Get full text
    Article
  10. 10

    Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan by Ab Manan, Wan Noniafida

    Published 2014
    “…To prove this, it will require the information from aerosol optical parameters. Therefore, in determining the appropriate atmospheric model for different urban types; the atmospheric parameters (visibility and aerosol loading) need to be estimated. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Heart sound diagnosis using nonlinear ARX model / Noraishah Shamsuddin by Shamsuddin, Noraishah

    Published 2011
    “…The Resilient Backpropagation (RPROP) algorithm is used to train the network. The optimized learning parameter used is 0.07 and the network has best performance when hidden neurons equal to 220. …”
    Get full text
    Get full text
    Thesis
  12. 12

    An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization by Majid, Mad Helmi Ab.

    Published 2019
    “…To adaptively switches between the two algorithms, an adaptive switching algorithm based on a Generalized Likelihood Ratio Test (GLRT) is proposed. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Robust techniques for linear regression with multicollinearity and outliers by Mohammed, Mohammed Abdulhussein

    Published 2016
    “…The MM-estimator and the MGM-estimator are integrated in the JRR algorithm for the establishment of the improved versions of JRR. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat by Chia , Yu Huat

    Published 2024
    “…This is due to the data generated from the numerical model possess the pattern for the ML algorithm ease of prediction. In addition, Coati Optimization algorithm, Particle Swarm Opimisation (PSO) and Bayesian Optimsiation (BO) are integrated to identify optimal parameters and minimize settlement during twin tunnel excavation and GBT with the optimisation algorithm has shown consistent capability identifying the least SS induced by twin tunnels Keyword: …”
    Get full text
    Get full text
    Get full text
    Thesis
  15. 15

    A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed by Nabi, Amjad

    Published 1998
    “…The potentials of Landsat TM image was studied for LA! estimation using vegetation-index (VI) of rainforest, rubber and oil palm plantation. …”
    Get full text
    Get full text
    Thesis
  16. 16

    IoT based IMU sensor network for human arm pose estimation / Jahangir Hassan Khan by Jahangir , Hassan Khan

    Published 2019
    “…The Forward Kinematics approach has great advantage such as being easy to program and its faster computational speed, as compared to the conventional arm pose estimation algorithms. By using the developed arm pose tracking program, several important parameters such as positions of the elbow and wrist with reference to the shoulder joint, moving distance, angular movement speed and movement pattern of arm are successfully measured and estimated. …”
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17

    Backpropagation algorithm for classification problem: academic performance prediction model for UiTM Melaka Mengubah Destini Anak Bangsa (MDAB) program. / Fadhlina Izzah Saman, Nur... by Saman, Fadhlina Izzah, Zainuddin, Nurulhuda, Md Shahid, Khairiyah

    Published 2012
    “…There is no existing tool to assist faculties in estimating the number of students that can achieve the objective, hence a prediction model using Backpropagation Algorithm is proposed by using a case study of UiTM Bandaraya Melaka Bachelor of Administrative Science students. …”
    Get full text
    Get full text
    Research Reports
  18. 18

    Speech recognition system using MATLAB : design, implementation, and samples codes by Abushariah, Ahmad A. M., Gunawan, Teddy Surya

    Published 2011
    “…The HMM parameters are estimated by applying the Baum Welch algorithm on previously trained samples. …”
    Get full text
    Get full text
    Get full text
    Book
  19. 19
  20. 20

    Heteroscedasticity effects as component to future stock market predictions using RNNbased models by Sadon, Aida Nabilah, Ismail, Shuhaida, Khamis, Azme, Tariq, Muhammad Usman

    Published 2024
    “…First, the GARCH model is employed to estimate the model parameters. After that, the ARCH effect test is used to test the residuals obtained from the model. …”
    Get full text
    Get full text
    Get full text
    Article