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  1. 1
    Facial Feature Extraction Based on Improved Harris Corner Detection Algorithm

    Facial Feature Extraction Based on Improved Harris Corner Detection Algorithm by Bagherian, Elhaam

    Published 2011
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    Thesis
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  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 results show that prototype ‘EkstrakPro’ can extract different structure hydrology data correctly by using only one algorithm. …”
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  3. 3
    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 results show that prototype ˜EkstrakPro can extract different structure hydrology data correctly by using only one algorithm. …”
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    Monograph
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  4. 4
    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. …”
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  5. 5
    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
    “…It involves identifying and isolating relevant information from the images that classification algorithms can use to distinguish between different fruit categories. …”
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  6. 6
    Comparing the legendre wavelet filter and the gabor wavelet filter for feature extraction based on iris recognition system

    Comparing the legendre wavelet filter and the gabor wavelet filter for feature extraction based on iris recognition system by Danlami, Muktar, Jamel, Sapiee, Ramli, Sofia Najwa, Megat Azahari, Siti Radhiah

    Published 2020
    “…Different algorithm over two-decade has been proposed to extract features from the iris. …”
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  7. 7
    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.…”
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  8. 8
    The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) area, Malaysia

    The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) area, Malays... by Hassaballa A., Abdul-Haleem, Matori , Abdul Nasir

    Published 2011
    “…The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) …”
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  9. 9
    “Analysis of EEG Recordings During Grasp and Lift (GAL) Trials

    “Analysis of EEG Recordings During Grasp and Lift (GAL) Trials by Musa, Huwaida

    Published 2018
    “…There are two types of investigation which are classification with feature extraction and without feature extraction. Throughout this project, we managed to get the classification accuracy of 6 events for 26.6% and 58.5% while for 2 events of up to 67.4% and 96% using 6 channels for both algorithms respectively.…”
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    Final Year Project
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  10. 10
    Acoustic Profiles Based On Quranic Maqamat Audio Features

    Acoustic Profiles Based On Quranic Maqamat Audio Features by Farah Hanim bt Seman @ Abd Jabar

    Published 2024
    thesis::doctoral thesis
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  11. 11
    Detection and extraction features for signatures images via different techniques

    Detection and extraction features for signatures images via different techniques by Fatma Susilawati, M., Alsuhimat, F.M., Iqtait, M.

    Published 2019
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  12. 12
    FEATURES EXTRACTION OF HEP-2 IMMUNOFLUORESCENCE PATTERNS BASED ON TEXTURE AND REGION OF INTEREST TECHNIQUES

    FEATURES EXTRACTION OF HEP-2 IMMUNOFLUORESCENCE PATTERNS BASED ON TEXTURE AND REGION OF INTEREST TECHNIQUES by MD HASIM, SITI MASTURA

    Published 2013
    “…Image segmentation will be done after pre-processing completed to further enhance the image according to its edge or region to be used for the input image. Different methods of features extraction will be used and compared for better outcome. …”
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  13. 13
    Automated feature extraction on brain MRI images for predicting multiple sclerosis patient disability

    Automated feature extraction on brain MRI images for predicting multiple sclerosis patient disability by M. Muslim, Ali

    Published 2022
    “…The first phase aims to investigate the best types of required data, features and algorithms to be used in the final proposed methodology to predict exact EDSS, and different ranges of EDSS. …”
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  14. 14
    Parameter extraction of photovoltaic module using hybrid evolutionary algorithm

    Parameter extraction of photovoltaic module using hybrid evolutionary algorithm by Muhsen D.H., Ghazali A.B., Khatib T.

    Published 2023
    “…Algorithms; Diodes; Extraction; Iterative methods; Optimization; Parameter estimation; Parameter extraction; Photovoltaic cells; Different evolutions; Differential Evolution; Diode modeling; Electromagnetism-like algorithm; Extracting parameter; Hybrid evolutionary algorithm; Photovoltaic model; Photovoltaic modules; Evolutionary algorithms…”
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  15. 15
    Feature Extraction and Matching from images / lntan Syaherra Ramli

    Feature Extraction and Matching from images / lntan Syaherra Ramli by Ramli, lntan Syaherra

    Published 2023
    “…Feature Extraction and Matching are crucial in computer vision and graphics. …”
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  16. 16
    Application of orthogonal optimization and feedforward backpropagation model in the microwave extraction of natural antioxidants from tropical white pepper

    Application of orthogonal optimization and feedforward backpropagation model in the microwave extraction of natural antioxidants from tropical white pepper by Olalere, Olusegun Abayomi, Nour, A. H., Zulkafli, Hassan, Alara, Oluwaseun Ruth, Norlin, Pauzi

    Published 2018
    “…The feed backpropagation artificial neural network model was thereafter applied to optimally predict the result for the different combination of operating parameters. This was achieved by evaluating different algorithms, transfer functions, and neurons. …”
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  17. 17
    Comparison of document similarity algorithms in extracting document keywords from an academic paper

    Comparison of document similarity algorithms in extracting document keywords from an academic paper by Miah, M. Saef Ullah, Junaida, Sulaiman, Saiful, Azad, Kamal Z., Zamli, Jose, Rajan

    Published 2021
    “…Then, different similarity calculation algorithms were employed in different settings on the documents such as using the whole texts of the documents, selecting the positive sentences of the documents, and generating similarity score with automatically extracted keywords from the documents. …”
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  18. 18
    Regional contrast enhancement and four-directional thresholding techniques for pulmonary nodule extraction and discrimination

    Regional contrast enhancement and four-directional thresholding techniques for pulmonary nodule extraction and discrimination by Heidari, Saleheh

    Published 2015
    “…Finally, pulmonary nodules are extracted from thresholded CT images by several morphological techniques and then extracted candidates are discriminated based on their eccentricity and corresponding size as benign and malignant nodules. …”
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  19. 19
    OBJECT RECOGNITION BY USING ARTIFICIAL NEURAL NETWORK: Turning point based shape recognition using NN

    OBJECT RECOGNITION BY USING ARTIFICIAL NEURAL NETWORK: Turning point based shape recognition using NN by ABDULRHMAN IDRIS, MALIK ABDALLHA OSMAN

    Published 2008
    “…These features are the ratio between any two adjacent lines and the angle between them. The extracted features are used as input the ANN. The neural network configuration used in this project is multi-layer perceptron using back-propagation learning algorithm. …”
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    Final Year Project
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  20. 20
    Analysis of minutia extraction techniques in fingerprint recognition.

    Analysis of minutia extraction techniques in fingerprint recognition. by Sudha Ponnarasi, S., Rajaram, M.

    Published 2012
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