Search Results - (( a constructive method algorithm ) OR ( data estimation method algorithm ))

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  1. 1
    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah

    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah by Abdullah, Siti Muniroh

    Published 2017
    “…PSO is a swarm-based search algorithm perform a stochastic search to explore the search space. …”
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  2. 2
    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach

    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohamad Fadhil, Abas, Bayuaji, Luhur

    Published 2022
    “…After that, it has been suggested to improve the efficiencies in the Deep Neural Network (DNN) model by combining the DNN with an unsupervised machine learning algorithm, the K-Means clustering algorithm. This study constructs the flow of DNN based method with the K-Means algorithm. …”
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  3. 3
    Parallel visualization approach of a 3D heart model

    Parallel visualization approach of a 3D heart model by Malekpour, A., Ling, T.C., Lim, W.C.

    Published 2008
    “…The main target of this paper is to find an optimum strategy for the construction of the RF map and a decent estimation algorithm. …”
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  4. 4
    Estimation Of Time Of Concentration Using Triangulated Irregular Network Method

    Estimation Of Time Of Concentration Using Triangulated Irregular Network Method by Ewe, Teik Tsia

    Published 2015
    “…This method is computer based and thus the algorithm of TIN method was developed. …”
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  5. 5
    Reproducing kernel Hilbert space method for cox proportional hazard model

    Reproducing kernel Hilbert space method for cox proportional hazard model by Abdul Manaf, Nur'azah

    Published 2016
    “…The kernel method is expected to be efficient for problems involving data with a large number of covariates. …”
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  6. 6
    Combination of Minimum-Maximum (M-M) Attribute and Zero-INTENS-Difference (Z-I-D) Attribute for Estimating Seismically Thin-Bed Thickness

    Combination of Minimum-Maximum (M-M) Attribute and Zero-INTENS-Difference (Z-I-D) Attribute for Estimating Seismically Thin-Bed Thickness by Purnomo, Eko Widi, Harith, Zuhar Zahir Tuan

    Published 2011
    “…Bad thickness estimation is resulted for 20% noise seismic. The method algorithm is extended for similar dipole polarity model and multilayer model to bring the method to real seismic data nearer. …”
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  7. 7
    k- Nearest Neighbor Algorithm For Improving Accuracy In Clutter Based Location Estimation Of Wireless Nodes

    k- Nearest Neighbor Algorithm For Improving Accuracy In Clutter Based Location Estimation Of Wireless Nodes by Muhammad Mansoor Alam, Mazliham Mohd Su'ud, Patrice Boursier, Shahrulniza Musa

    Published 2013
    “…This research is focusing on the precise location estimation of mobile node by using k - nearest neighbor algorithm (k-NN). …”
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  8. 8
    Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari

    Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari by Satari, Siti Zanariah

    Published 2015
    “…In this study, we propose an alternative method of constructing a confidence interval based from the distribution of the estimated value of error concentration parameter obtained from the Fisher information matrix. …”
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  9. 9
    Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization

    Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization by Khosropanah, Pegah, Ramli, Abdul Rahman, Lim, Kheng Seang, Marhaban, Mohammad Hamiruce, Ahmedov, Anvarjon

    Published 2018
    “…We also developed an unsupervised algorithm utilizing a wavelet method to remove eye blink artifacts. …”
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  10. 10
    Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization

    Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization by Khosropanah, Pegah, Ramli, Abdul Rahman, Lim, Kheng Seang, Marhaban, Mohammad Hamiruce, Ahmedov, Anvarjon

    Published 2018
    “…We also developed an unsupervised algorithm utilizing a wavelet method to remove eye blink artifacts. …”
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  11. 11
    Data filtering of 5-axis inertial measurement unit using kalman filter

    Data filtering of 5-axis inertial measurement unit using kalman filter by Nur Syazwani, Samsudin

    Published 2013
    “…Simulation with constructed data has been done to verify the algorithm. …”
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  12. 12
    Dynamic determinant matrix-based block cipher algorithm

    Dynamic determinant matrix-based block cipher algorithm by Juremi, Julia

    Published 2018
    “…Rijndael (AES) is a well-known block cipher algorithm with proven robustness towards countless cryptographic attacks. …”
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  13. 13
    Modeling and analysis of the impact of information and communication technology on household consumption expenditure in different regions

    Modeling and analysis of the impact of information and communication technology on household consumption expenditure in different regions by Fan, Chaozhi, Law, Siong Hook, Ibrahim, Saifuzzaman, Naseem, N. A. M.

    Published 2022
    “…Based on the panel data of cities and towns in China, by using the generalized estimation method of a dynamic panel, through the construction of regional household consumption expenditure evaluation models, optimize the impact evaluation algorithm of household consumption expenditure in different regions, standardize critic indicators, and build the impact modeling of household consumption expenditure in combination with relevant algorithms such as the Engel coefficient. …”
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  14. 14
    Simulation-Based Power Estimation for High Throughput SHA-256 Design on Unfolding Transformation

    Simulation-Based Power Estimation for High Throughput SHA-256 Design on Unfolding Transformation by Shamsiah, Suhaili, Norhuzaimin, Julai, Asrani, Lit, Maimun Binti, Huja Hussin, Mohamad Faizrizwan bin, Mohd Sabri

    Published 2022
    “…The purpose of this project is to reduce dynamic thermal power dissipation of SHA-256 unfolding transformation. State encoding is a method used in reducing power design strategies that have been proposed to lower the dynamic power dissipation of the algorithm. …”
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    Proceeding
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  15. 15
    Development of a hybrid PSO-ANN model for estimating glucose and xylose yields for microwave-assisted pretreatment and the enzymatic hydrolysis of lignocellulosic biomass

    Development of a hybrid PSO-ANN model for estimating glucose and xylose yields for microwave-assisted pretreatment and the enzymatic hydrolysis of lignocellulosic biomass by Mohammad, Saleem Ethaib, Omar, Rozita, Mustapa Kamal, Siti Mazlina, Awang Biak, Dayang Radiah, S., Syafiie

    Published 2018
    “…ANN is a powerful tool capable of determining the relationship between the desired input and output data while PSO was used as a robust population-based search algorithm to optimize the performance of the ANN model. …”
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  16. 16
    Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID

    Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID by Narzullaev, Anvar, Selamat, Mohd Hasan

    Published 2013
    “…We propose a hybrid calibration procedure that combines signal sampling process with path-loss prediction algorithm. …”
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  17. 17
    Input Information in the Approximate Calculation of Two-Dimensional Integral from Highly Oscillating Functions (Irregular Case)

    Input Information in the Approximate Calculation of Two-Dimensional Integral from Highly Oscillating Functions (Irregular Case) by Lytvyn, Oleg M., Nechuiviter, Olesia, Pershyna, Iuliia, Mezhuyev, Vitaliy

    Published 2019
    “…The proposed formula is based on the algorithm, which is also effective for a class of discontinuous functions.…”
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  18. 18
    The application of suitable sports games for junior high school students based on deep learning and artificial intelligence

    The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin, Hassan, Muhammad Zarif, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

    Published 2025
    “…Firstly, the algorithm obtains the data of human skeleton points through attitude estimation technology. …”
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  19. 19
    A novel single parent mating technique in genetic algorithm for discrete - time system identification

    A novel single parent mating technique in genetic algorithm for discrete - time system identification by Abd Samad @ Mahmood, Md Fahmi, Zainuddin, Farah Ayiesya, Jamaluddin, Hishamuddin, Azad, Abul K. M.

    Published 2024
    “…As a popular search method, genetic algorithm (GA) is used for selecting a model structure. …”
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  20. 20
    The effectiveness of debt rule on fiscal sustainability: do macroeconomic data matter?

    The effectiveness of debt rule on fiscal sustainability: do macroeconomic data matter? by Cahyadin, Malik, Sarmidi, Tamat, Khalid, Norlin, Siong, Hook Law

    Published 2023
    “…Conversely, it has a negative and significant impact on the recursive algorithm. …”
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