Search Results - (( botnet detection method algorithm ) OR ( based information co algorithm ))

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    Automated System for Detecting Cyber Bot Attacks in 5G Networks using Machine Learning by Thrupthi, C.P., Chitra, K., Harilakshmi, V.M.

    Published 2024
    “…Botnets are compromised computer networks controlled by attackers that are visible for this reason. …”
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    Article
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    Adaptive thresholding based on co-occurrence matrix edge information by Mohd. Mokji, Musa, Syed Abu Bakar, Syed Abdul Rahman

    Published 2007
    “…In this paper, an adaptive thresholding technique based on gray level co-occurrence matrix (GLCM) is presented to handle images with fuzzy boundaries. …”
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    Conference or Workshop Item
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    Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images by Heshalini, Rajagopal, Norrima, Mokhtar, Anis Salwa, Mohd Khairuddin, Wan Khairunizam, Wan Ahmad, Zuwairie, Ibrahim, Asrul, Adam, Wan Amirul, Wan Mohd Mahiyidin

    Published 2021
    “…Therefore, a Gray Level Co- Occurrence Matrix (GLCM) and Gabor features-based NR-IQA, GGNR-IQA algorithm is proposed to evaluate the quality of wood images. …”
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    Conference or Workshop Item
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    Compressed Sensing Implementations For Sparse Channel Estimation In OFDM Systems by Uwaechia, Anthony Ngozichukwuka

    Published 2018
    “…Additionally, at BER value of 2×10−3 the proposed CoFA and SdMP algorithms for CE have around 9%, 14%, 19.5% and 25% and around 5%, 10%, 14% and 22.5% performance improvement when compared to FACS, gOMP, OMP and ROMP algorithms, respectively.…”
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    Thesis
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    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…This algorithm was compared to co-spectral plot method for labelling clusters the clusters generated in Landsat TM dataset. …”
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    Thesis
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    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING by MUFLIKHAH, LAILIL

    Published 2010
    “…Therefore, the document clustering based on the same category is important to help users to retrieve information they need. …”
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    Thesis
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    Texture-based feature using multi-blocks gray level co-occurrence matrix for ethnicity identification by Mohd Zamri, Osman, M. A., Maarof, Mohd Foad, Rohani

    Published 2020
    “…In the feature extraction process, a Grey Level Co-occurrence Matrix (GLCM) under different face blocks were employed. …”
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    Conference or Workshop Item
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    Engine fault diagnosis using probabilistic neural network by Sheng, Zhu, Min, Keng Tan, Ka, Renee Yin Chin, Bih, Lii Chua, Xiaoxi, Hao, Tze, Kenneth Kin Teo

    Published 2021
    “…A benchmarked engine fault model is developed and simulated in Maltab. The proposed algorithm is designed to detect 9 common engine faults based on the information extracted from exhaust gas, such as hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NOx), carbon dioxide (CO2) and dioxygen (O2). …”
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    Proceedings
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