Search Results - data extraction based algorithm*

Search alternatives:

Refine Results
  1. 1
    An intelligent data mapping for hydrological information system (his) cube data base to cater from various data types

    An intelligent data mapping for hydrological information system (his) cube data base to cater from various data types by Selamat, Harihodin, Mohd. Rahim, Mohd. Shafry, Daman, Daut

    Published 2004
    “…The sequential recognition algorithm is to solve the time consuming issues for extracting sequential data. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  2. 2
    Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi

    Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi by Abd. Hamid, Ahmad Ghadaffi

    Published 2005
    “…The sequential recognition algorithm is to solve the time consuming issues for extracting sequential data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data

    KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data by Aman, M., Abdulkadir, S.J., Aziz, I.A., Alhussian, H., Ullah, I.

    Published 2021
    “…In this paper, a semantic based unsupervised approach (KP-Rank) is proposed for keyphrase extraction. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    The framework of weighted subset-hood Mamdani fuzzy rule based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand

    The framework of weighted subset-hood Mamdani fuzzy rule based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand by Mansor, Rosnalini, Mat Kasim, Maznah, Othman, Mahmod

    Published 2016
    “…Fuzzy rules are very important elements that should be taken consideration seriously when applying any fuzzy system.This paper proposes the framework of Mamdani Fuzzy Rule-based System with Weighted Subset-hood Based Algorithm (MFRBS-WSBA) in the fuzzy rule extraction for electricity load demand forecasting.The framework consist of six main steps: (1) Data Collection and Selection; (2) Preprocessing Data; (3) Variables Selection; (4) Fuzzy Model; (5) Comparison with Other FIS and (6) Performance Evaluation. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network

    Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network by Mohammed Enamul, Hoque

    Published 2021
    “…The supervised CNN methods employ different algorithms that iteratively learn from data for analyzing data and predicting outcomes. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    A new search and extraction technique for motion capture data

    A new search and extraction technique for motion capture data by Mohamad, Rafidei

    Published 2008
    “…Results from the experiments show that matching motion files were successfully extracted from the motion capture library using the new algorithm based on different human body segments.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    The framework of weighted subset-hood Mamdani fuzzy rule based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand

    The framework of weighted subset-hood Mamdani fuzzy rule based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand by Mansor, R., Kasim, M.M., Othman, M.

    Published 2016
    “…This paper proposes the framework of Mamdani Fuzzy Rule-based System with Weighted Subset-hood Based Algorithm (MFRBS-WSBA) in the fuzzy rule extraction for electricity load demand forecasting. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  8. 8
    Individual-tree segmentation and extraction based on LiDAR point cloud data

    Individual-tree segmentation and extraction based on LiDAR point cloud data by Liu, Xiaofeng, Abdullah, Muhamad Taufik, Mustaffa, Mas Rina, Nasharuddin, Nurul Amelina

    Published 2024
    “…In the task of individual tree extraction, the point cloud distance discriminant clustering algorithm outperformed the watershed algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Ensemble averaging subspace-based approach for ERP extraction

    Ensemble averaging subspace-based approach for ERP extraction by Kamel, Nidal, Malik, Aamir, Jatoi, Munsif Ali

    Published 2013
    “…A novel approach based on Subspace methods is proposed for extracting the Event Related Potentials (ERPs) from the background Electroencephalograph (EEG) colored noise. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  10. 10
    Ensemble averaging subspace-based approach for ERP extraction

    Ensemble averaging subspace-based approach for ERP extraction by Kamel, Nidal, Malik, Aamir, Jatoi, Munsif Ali

    Published 2013
    “…A novel approach based on Subspace methods is proposed for extracting the Event Related Potentials (ERPs) from the background Electroencephalograph (EEG) colored noise. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  11. 11
    Social media mining: a genetic based multiobjective clustering approach to topic modelling

    Social media mining: a genetic based multiobjective clustering approach to topic modelling by Alfred, Rayner, Loo, Yew Jie, Obit, Joe Henry, Lim, Yuto, Haviluddin, Haviluddin, Azman, Azreen

    Published 2021
    “…Recently, several effective supervised and unsupervised machine learning methods have been developed in the domain of topics extraction. However, less works have been conducted in applying multiobjective based algorithm for topic extraction. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Estimation of the state of health (SOH) of batteries using discrete curvature feature extraction

    Estimation of the state of health (SOH) of batteries using discrete curvature feature extraction by Hui, Hwang Goh, Lan, Zhentao, Zhang, Dongdong, Wei Dai, Wei Dai, Kurniawan, Tonni Agustiono, Kai, Chen Goh

    Published 2022
    “…This work proposes a novel approach of health indicator (HI) extraction based on the U-chord curvature model, based on a complete analysis of battery aging data. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging

    Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging by Christian, Hans, Suhartono, Derwin, Chowanda, Andry, Kamal Z., Zamli

    Published 2021
    “…To date, there are many algorithms that can be used to extract embedded contextualized word from textual data for personality prediction system; some of them are based on ensembled model and deep learning. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion

    Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion by Zafar, R., Dass, S.C., Malik, A.S.

    Published 2017
    “…In this hybrid algorithm, convolutional neural network is modified for the extraction of features, a t-test is used for the selection of significant features and likelihood ratio-based score fusion is used for the prediction of brain activity. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Abstract data extraction and reformation for IoT

    Abstract data extraction and reformation for IoT by Lim, Xin Hui

    Published 2022
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  16. 16
    Multi-trial extended subspace-based approach for visually evoked potentials (VEPs) extraction

    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
    Save to List
    Saved in:
  17. 17
    Social media mining: a genetic based multiobjective clustering approach to topic modelling

    Social media mining: a genetic based multiobjective clustering approach to topic modelling by Rayner Alfred, Loo Yew Jie, Joe Henry Obit, Yuto Lim, Haviluddin Haviluddin, Azreen Azman

    Published 2021
    “…Recently, several effective supervised and unsupervised machine learning methods have been developed in the domain of topics extraction. However, less works have been conducted in applying multiobjective based algorithm for topic extraction. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail

    Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail by Ismail, Najihah

    Published 2021
    “…Moreover, the capability of the programming based using python for building extraction can be assessed. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Pseudo-random number generator (PRNG) combined with text based watermarking for cryptography application / Lew Chee Hon

    Pseudo-random number generator (PRNG) combined with text based watermarking for cryptography application / Lew Chee Hon by Lew , Chee Hon

    Published 2017
    “…This experiment demonstrates that better accuracy of extracted watermark due to text based watermarking is obtained when combined with PRNG. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms

    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
    Save to List
    Saved in:

Search Tools: