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  1. 1
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
    “…It is a code with double shield protection that prevents unauthorized extraction or damaging the remote database in the server side due to malicious SQL injection. …”
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  2. 2
    Fatigue data editing algorithm for automotive applications

    Fatigue data editing algorithm for automotive applications by Shahrum Abdullah, John R. Yates, Joseph A. Giacornin

    Published 2005
    “…This paper presents a wavelet based algorithm to summa rise a long record of fatigue signal by extracting the bumps (fatigue damaging events) to produce a bump signal. …”
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  3. 3
    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. …”
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  4. 4
    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
    “…As the components of big data continue to expand, the task of extracting useful information becomes critical. …”
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  5. 5
    HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION

    HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION by Adi, Waskito

    Published 2011
    “…In the query process, accuracy is determined by the number of feature vector elements, data extraction, and similarity measurement algorithm. …”
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    Thesis
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  6. 6
    Chlorophyll-a mapping from the moderate resolution imaging spectroradiometer data in the South China Sea

    Chlorophyll-a mapping from the moderate resolution imaging spectroradiometer data in the South China Sea by Kueh, Hsiao Chin, Seeni Mohd., Mohd. Ibrahim

    Published 2005
    “…In this study, four different algorithms had been chosen to extract chlorophyll-a concentration from MODIS data in the South China Sea. …”
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    Conference or Workshop Item
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  7. 7
    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
    “…As the components of big data continue to expand, the task of extracting useful information becomes critical. …”
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  8. 8
    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking

    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
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  9. 9
    Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms

    Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms by Nurellezia, Suleiman

    Published 2023
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    Final Year Project Report / IMRAD
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  10. 10
    Optimized clustering with modified K-means algorithm

    Optimized clustering with modified K-means algorithm by Alibuhtto, Mohamed Cassim

    Published 2021
    “…huge data is a big challenge. Clustering technique is able to find hidden patterns and to extract useful information from huge data. …”
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  11. 11
    Handwriting recognition using webcam for data entry

    Handwriting recognition using webcam for data entry by Wong , Yoong Xiang

    Published 2014
    “…The outcome of the project should be able to obtain a system that is able to recognize handwritten numerical data with the lowest overshoot and errors. Several distinctive feature from each character is extracted using a few feature extraction methods, in which a comparison between three types of feature extraction modules were used. …”
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    Final Year Project
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  12. 12
    Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules

    Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules by Wiliani, Ninuk

    Published 2023
    “…The second algorithm uses K Nearest Neighbour using a ratio of training data and testing data of 95:05 resulting in an accuracy value of 62%. …”
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  13. 13
    An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs

    An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs by Sadiq, Ali Safaa, Alkazemi, Basem, Mirjalili, Seyedali, Ahmed, Noraziah, Khan, Suleman, Ali, Ihsan, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Experimental results show that using our proposed IDS based on hybrid MOA-PSO technique provides more accuracy level compared to the use of ANN based on MOA, PSO and genetic algorithm. Updated KDD CUP data set is formed and used during the training and testing phases, where this data set consists of mixed data traffics between attacks and normal activities. …”
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  14. 14
    An efficient IDS using hybrid Magnetic swarm optimization in WANETs

    An efficient IDS using hybrid Magnetic swarm optimization in WANETs by Sadiq, Ali Safa, Alkazemi, Basem Y., Mirjalili, Seyedali, Noraziah, Ahmad, Khan, Suleman, Ihsan, Ali, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Experimental results show that using our proposed IDS based on hybrid MOA-PSO technique provides more accuracy level compared to the use of ANN based on MOA, PSO and genetic algorithm. Updated KDD CUP data set is formed and used during the training and testing phases, where this data set consists of mixed data traffics between attacks and normal activities. …”
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  15. 15
    Classification for large number of variables with two imbalanced groups

    Classification for large number of variables with two imbalanced groups by Ahmad Hakiim, Jamaluddin

    Published 2020
    “…The difference between the two algorithms is in terms of the order of resampling and variable extraction prior to the construction of linear discriminant analysis (LDA). …”
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  16. 16
    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments

    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments by Abdulhussain, Sadiq H.

    Published 2018
    “…Rapid growth of multimedia data in cyberspace caused a swift rise in data transmission volume. …”
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  17. 17
    Development of an effective clustering algorithm for older fallers

    Development of an effective clustering algorithm for older fallers by Goh, Choon Hian, Wong, Kam Kang, Tan, Maw Pin *, Ng, Siew Cheok, Chuah, Yea Dat, Kwan, Ban Hoe

    Published 2022
    “…A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. …”
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  18. 18
    Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah

    Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah by Abdullah, Halimah Tun

    Published 2014
    “…This is because many attackers attempt to retrieve the secret data from an image than audio and video. The algorithm and techniques that implemented in this project is Most Significant Bit (MSB) algorithm and Discrete Cosine Transform (OCT) as a technique for embedding process. …”
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  19. 19
    AR oriented pose matching mechanism from motion capture data

    AR oriented pose matching mechanism from motion capture data by Iqbal J., Sidhu M.S., Ariff M.B.M.

    Published 2023
    “…In order to extract the exact matched pose, the frame sequence is divided into pose feature frame and skeletal data frame by the use of pose matching dance training movement recognition algorithm (PMDTMR). …”
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  20. 20
    A comparison of discrete cosine transform and discrete wavelet transform algorithm in watermarking against common attacks

    A comparison of discrete cosine transform and discrete wavelet transform algorithm in watermarking against common attacks by Said, Mohamed Abdisalan

    Published 2015
    “…In this report, the DCT watermarking algorithms and DWT watermarking algorithms were compared based on robustness and imperceptibility criteria. …”
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