Search Results - (( user evaluation method algorithm ) OR ( features extraction method algorithm ))

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  1. 1
    Jogging activity recognition using k-NN algorithm

    Jogging activity recognition using k-NN algorithm by Afifah Ismail

    Published 2022
    “…The finding in this project is the k-NN algorithm is good feature extraction and classifier. …”
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    Academic Exercise
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  2. 2
    Agent-based extraction algorithm for computational problem solving

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…The tool is used to evaluate the accuracy of the proposed extraction algorithm to extract the appropriate information which are needed. …”
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  3. 3
    Spam image filtering algorithm / Muhammad Hazim Shahimi

    Spam image filtering algorithm / Muhammad Hazim Shahimi by Shahimi, Muhammad Hazim

    Published 2015
    “…The algorithm in this project will help the existing current spam filtering to enhance the method in filtering spam images. …”
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  4. 4
    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam by Asrul, Adam

    Published 2017
    “…At first, a peak classification algorithm is developed based on the general following processes including peak candidate identification, feature extraction, and classification. …”
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  5. 5
    Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin

    Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin by Nasaruddin, Syazwani

    Published 2017
    “…All the features of emphasized words detect by user is extracted. …”
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  6. 6
    Recommendation System Model For Decision Making in the E-Commerce Application

    Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

    Published 2024
    thesis::doctoral thesis
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  7. 7
    Malay festive seasons food recognition for calorie detection / Nurul Hafiza Basiruddin

    Malay festive seasons food recognition for calorie detection / Nurul Hafiza Basiruddin by Basiruddin, Nurul Hafiza

    Published 2021
    “…Then the result from the Color Feature Extraction Method is used to identify the type of food by using Error-Correcting Output Codes (ECOC) classification which is the part of the Support Vector Machine (SVM) algorithm. …”
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  8. 8
    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients

    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients by Moghbel, Mehrdad

    Published 2017
    “…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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  9. 9
    Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction

    Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction by Muna Elsadig, Ashraf Osman Ibrahim Elsayed, Shakila Basheer, Manal Abdullah Alohali, Sara Alshunaifi, Haya Alqahtani, Nihal Alharbi, Wamda Nagmeldin

    Published 2022
    “…In this paper, a novel URL phishing detection technique based on BERT feature extraction and a deep learning method is introduced. …”
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  10. 10
    Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper

    Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

    Published 2016
    “…The algorithm is validated by conducting manual ground truth and the results were compared with the closest and well-known methods. …”
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  11. 11
    Image Stitching Of Aerial Footage

    Image Stitching Of Aerial Footage by Ng, Wei Haen

    Published 2021
    “…ScaleInvariant Feature Transform (SIFT) approach is used to detect and describe the feature points of the extracted frames. …”
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  12. 12
    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language

    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

    Published 2016
    “…Thus by adding processes before classification methods such as feature selection methods can provide better data input in the classification process, it is expected to improve the performance of the method of classification. …”
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  13. 13
    A comparative analysis of anti-phishing website techniques: identifying optimal approaches to enhance cybersecurity

    A comparative analysis of anti-phishing website techniques: identifying optimal approaches to enhance cybersecurity by Yau, Jia Xin

    Published 2023
    “…The research consists of analysing the characteristics of phishing websites, extracting their essential features using the wrapper method, and classifying websites as phishing or legitimate using supervised and unsupervised learning algorithms. …”
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  14. 14
    Malay festive seasons food recognition for calorie detection using SVM and ECOC approaches / Nurul Hafiza Binti Basiruddin, Zalikha Zulkifli and Samsiah Ahmad

    Malay festive seasons food recognition for calorie detection using SVM and ECOC approaches / Nurul Hafiza Binti Basiruddin, Zalikha Zulkifli and Samsiah Ahmad by Basiruddin, Nurul Hafiza, Zulkifli, Zalikha, Ahmad, Samsiah

    Published 2022
    “…Then the result from the Color Feature Extraction Method is used to identify the type of food by using Error-Correcting Output Codes (ECOC) classification, which is part of the Support Vector Machine (SVM) algorithm. …”
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  15. 15
    Durian species recognition system based on global shape representations and k-nearest neighbors

    Durian species recognition system based on global shape representations and k-nearest neighbors by Nyon, Xin Yi, Mustaffa, Mas Rina, Abdullah, Lili Nurliyana, Nasharuddin, Nurul Amelina

    Published 2018
    “…Few global contour-based and region-based shape descriptors such as area, perimeter, and circularity are computed as feature vectors and K-Nearest Neighbors algorithm is used to classify the durian based on the extracted features. 10-fold cross-validation is used to evaluate the proposed system. …”
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    Conference or Workshop Item
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  16. 16
    Ischemic Stroke Detection System With Computer Aided Diagnostic Capability

    Ischemic Stroke Detection System With Computer Aided Diagnostic Capability by Lina, Tay

    Published 2017
    “…The last method is the Support Vector Machine (SVM) classifier where Mel Frequency Cepstral Coefficients (MFCC) is the extracted features used to train the classifier. …”
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    Monograph
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  17. 17
    Building extraction for 3D city modelling using infused airborne LiDAR and high-resolution aerial photograph

    Building extraction for 3D city modelling using infused airborne LiDAR and high-resolution aerial photograph by Sani, Ojogbane Success

    Published 2021
    “…In contrast, we had 97%, 93%, and 91% for the pixel-based evaluation values, respectively, for the deep learning method. …”
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  18. 18
    Machine-Learning Based QoE Prediction For Dash Video Streaming

    Machine-Learning Based QoE Prediction For Dash Video Streaming by Tan, Jun Yuan

    Published 2021
    “…Extensive experiments are conducted to evaluate the performance of the proposed QoE prediction model as compared to conventional algorithms. …”
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    Final Year Project / Dissertation / Thesis
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  19. 19
    Multi-Modality and Feature Fusion-Based COVID-19 Detection Through Long Short-Term Memory

    Multi-Modality and Feature Fusion-Based COVID-19 Detection Through Long Short-Term Memory by Noureen Fatima, Rashid Jahangir, Ghulam Mujtaba, Adnan Akhunzada, Zahid Hussain Shaikh, Faiza Qureshi

    Published 2022
    “…Several useful features were extracted from the aforementioned modalities that were then fed as an input to long short-term memory recurrent neural network algorithms for the classification purpose. …”
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  20. 20
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…Fifthly, the performance of the proposed classification methods is validated and evaluated against multiple scenarios and features. …”
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