Search Results - (( data extraction method algorithm ) OR ( data visualization based algorithm ))

Refine Results
  1. 1
  2. 2

    Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms by Rachmad, Iqbal, Tri Basuki, Kurniawan, Misinem, ., Edi Surya, Negara, Tata, Sutabri

    Published 2024
    “…A critical step in developing such intelligent systems is the feature extraction process. Feature extraction is essential in classification, especially for data sources in the form of images. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…Methods for improving supervised and unsupervised classification of remotely sensed data were developed in this study. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Multi-trial extended subspace-based approach for visually evoked potentials (VEPs) extraction by Kamel , Nidal, Malik, Aamir Saeed

    Published 2013
    “…Conclusion: A multi-trial subspace-based algorithm is proposed to extract the VEPs from the brain background colored noise. …”
    Get full text
    Citation Index Journal
  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
    “…Decoding of human brain activity has always been a primary goal in neuroscience especially with functional magnetic resonance imaging (fMRI) data. In recent years, Convolutional neural network (CNN) has become a popular method for the extraction of features due to its higher accuracy, however it needs a lot of computation and training data. …”
    Get full text
    Get full text
    Article
  6. 6

    HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC by Jamil, Nur Farahim

    Published 2014
    “…Automated system also saves time and cost as the system is able to process large amount of image data at one time. This project proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
    Get full text
    Get full text
    Final Year Project
  7. 7
  8. 8

    Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

    Published 2022
    “…Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  9. 9

    Single-Trial Extraction of Visual Evoked Potentials from the Brain by Yusoff, Mohd Zuki, Kamel , Nidal, M Hani, Ahmad Fadzil

    Published 2008
    “…This scheme arbitrarily labeled as an eigen-decomposition (ED) method has been compared with a third-order correlation (TOC) method, using both realistic simulation and real human data. …”
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN by Nidal S., Kamel

    Published 2008
    “…This scheme arbitrarily labeled as an eigen-decomposition (ED) method has been compared with a third-order correlation (TOC) method, using both realistic simulation and real human data. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  11. 11

    Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA by Javed, E., Faye, I., Malik, A.S., Abdullah, J.M.

    Published 2017
    “…From the simulated data, the similarity index between the extracted BCG and the simulated BCG showed the effectiveness of the proposed method in BCG removal. …”
    Get full text
    Get full text
    Article
  12. 12

    Subspace Techniques for Brain Signal Enhancement by Kamel , Nidal, Yusoff, Mohd Zuki

    Published 2009
    “…Next, the validity and the effectiveness of the algorithms to detect the P100's (used in objective assessment of visual pathways) are evaluated using real patient data collected from a hospital. …”
    Get full text
    Get full text
    Book Section
  13. 13

    EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method by Khosropanah, Pegah

    Published 2018
    “…To remove eye blink artifacts, the mother wavelet of Bior 3.3 was used due to its high morphological resemblance to eye blink and yet differentiable characteristic to epileptic spikes. Since MEMD method is a data-driven method which meets the criteria to be applied for EEG processing, therefore this method was employed to extract EEG epileptic spike features. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm by Abd Rahman, Mohd Shahrizan, Jamaludin, Nor Azliana Akmal, Zainol, Zuraini, Tengku Sembok, Tengku Mohd

    Published 2025
    “…The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    A novel lip geometry approach for audio-visual speech recognition by Mohd Zamri, Ibrahim

    Published 2014
    “…First, this work presents a new method to extract lip geometry features using the combination ofa skin colour filter, a border following algorithm and a convex hull approach. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

    Published 2024
    “…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17

    The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman by Abdul Rahman, Hayati

    Published 2006
    “…The inverted file method has been used for the indexing techniques to develop the indexing algorithm of the FTMSK official letter. …”
    Get full text
    Get full text
    Research Reports
  18. 18

    The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman by Abd Rahman, Hayati

    Published 2006
    “…The inverted file method has been used for the indexing techniques to develop the indexing algorithm of the FTMSK official letter. …”
    Get full text
    Get full text
    Research Reports
  19. 19

    PREDICTION OF HFMD DISEASE OUTBREAK FROM TWITTER by Tay, Guo Hong

    Published 2019
    “…After reviewing the existing work, a proposed pipeline is being introduced. In this project, the data collection methods is extracting Twitter tweets using Twitter API with Python. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  20. 20