Search Results - (( basic selection method algorithm ) OR ( data application using algorithm ))

Search alternatives:

Refine Results
  1. 1
    An ensemble feature selection method to detect web spam

    An ensemble feature selection method to detect web spam by Oskouei, Mahdieh Danandeh, Razavi, Seyed Naser

    Published 2018
    “…In addition, it improves classification metrics in comparison to basic feature selection methods.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Robust correlation feature selection based support vector machine approach for high dimensional datasets

    Robust correlation feature selection based support vector machine approach for high dimensional datasets by Baba, Ishaq Abdullahi, Mohammed, Mohammed Bappah, Jillahi, Kamal Bakari, Umar, Aliyu, Hendi, Hasan Talib

    Published 2025
    “…Correlation-based feature selection methods are popular tools used to select the most important variables to include the true model in the analysis of sparse and high-dimensional models. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…This learning algorithm represents an automatic generation of membership functions and rules from the data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Improving neural networks training using experiment design approach

    Improving neural networks training using experiment design approach by Chong, Wei Kean

    Published 2005
    “…Randomly select the m data set for conventional training algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee

    A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee by Wong , Wen Yee

    Published 2023
    “…Conventional water quality index (WQI) assessment methods are limited to features such as water acidity or basicity (pH), dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), ammoniacal nitrogen (NH3N), and suspended solids (SS). …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Simultaneous Computation of Model Order and Parameter Estimation of a Heating System Based on Gravitational Search Algorithm for Autoregressive with Exogenous Inputs

    Simultaneous Computation of Model Order and Parameter Estimation of a Heating System Based on Gravitational Search Algorithm for Autoregressive with Exogenous Inputs by Kamil Zakwan, Mohd Azmi, Zuwairie, Ibrahim, Pebrianti, Dwi, Sophan Wahyudi, Nawawi, Nor Azlina, Ab. Aziz

    Published 2015
    “…In this paper, an approach termed as Simultaneous Model Order and Parameter Estimation (SMOPE), which is basically based on Gravitational Search Algorithm (GSA), is proposed to combine these two parts into a simultaneous solution. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    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 task is to extend the Cox proportional hazard model by using the new reproducing kernel obtained and apply the kernel method to randomly selected survival data sets. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach

    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach by Wan Solehah, Wan Ahmad

    Published 2022
    “…The strategies applied showed that the final accuracy obtained through the training after implementing a modification in the algorithm is at 81% accuracy rate compared to the basic model that recorded its final accuracy at 79% accuracy rate. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Implementation of MRAC, SVMPC and PID control based on direct digital control application for dc servomotor

    Implementation of MRAC, SVMPC and PID control based on direct digital control application for dc servomotor by Mohamad Saleh, Saleha

    Published 2005
    “…The desired behavior of the adaptive controller is expressed by utilizing reference model, and the algorithms have been realized using the Lyapunov method and MIT rules. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour

    Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour by Neyamadpour, Ahmad

    Published 2010
    “…These methods are M1 and M2, and they basically differ in the type of input-output data used to train the artificial neural network. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    An enhance embedding method using edge and textures detection for image steganography

    An enhance embedding method using edge and textures detection for image steganography by Al-Maliki, Alaa Jabbar Qasim

    Published 2024
    “…The study contributes both theoretically and practically to the field of steganography by developing an innovative algorithm that enhances the security and robustness of image hidden data. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz

    Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz by Yafooz, Wael Mohamed Shaher

    Published 2014
    “…Therefore, a relational database (RDB) is most commonly used as a backbone in most application software for organising such data into structured form. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian

    Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian by Tey, Siew Kian

    Published 2009
    “…The application of orthogonal decomposition method using Householder transformation (refer to section 3.3) is used to solve the least-squares problem in power system state estimation. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Development of adaptive controlled natural gas transmission water bath heater using mathematical model / Amiruddin Amkaromi

    Development of adaptive controlled natural gas transmission water bath heater using mathematical model / Amiruddin Amkaromi by Amkaromi, Amiruddin

    Published 2018
    “…Water bath heater has wide application in natural gas transmission industry. It is used for eliminating Joule-Thompson effect. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Optimal planning and design of hybrid renewable energy system for rural healthcare facilities / Olatomiwa Lanre Joseph

    Optimal planning and design of hybrid renewable energy system for rural healthcare facilities / Olatomiwa Lanre Joseph by Olatomiwa Lanre , Joseph

    Published 2016
    “…Followed by development of prediction algorithm for solar radiation using soft-computing methodologies. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Comparative study of 3D reconstruction methods from 2D sequential images in sports

    Comparative study of 3D reconstruction methods from 2D sequential images in sports by Azrulhizam Shapi’i, Pichak, Sanaz, Mohd Syazwan Baharuddin, Iida, Hiroyuki

    Published 2020
    “…Six recent methods were selected based on they focused on recovery fully automated system for estimating 3D human pose for 2D joint location. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf

    Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf by Soh , Meng Wah

    Published 2015
    “…In this study, a new algorithm is proposed as a computational tool by integrating the sequence alignment method and the secondary structure sequence (SSS) and segment sequence (SS). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Application of bioinformatics to Helicobacter pylori vaccinology / Nurah Zainal Abidin

    Application of bioinformatics to Helicobacter pylori vaccinology / Nurah Zainal Abidin by Zainal Abidin, Nurah

    Published 2008
    “…To yield a vaccine that has high selectivity against Helicobacter pylori, specific target of antigenic sequence need to be selected. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Incremental learning for large-scale stream data and its application to cybersecurity

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…Since it is a costly approach, we propose a detection system using Resource Allocating Network (RAN) with data selection to select essential data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Development and integration of capacitive sensing and electrocuting grid for mosquitoes surveillance and control

    Development and integration of capacitive sensing and electrocuting grid for mosquitoes surveillance and control by Khoo, Brendan Teng Thiam

    Published 2020
    “…The final proposed system is tested with a basic species recognition algorithm and achieved species recognition rate of between 75% to 83% and selective trapping rate of between 63% to 69%.…”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: