Search Results - (( botnet detection method algorithm ) OR ( based information co algorithm ))
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IoT-based botnet attacks systematic mapping study of literature
Published 2024journal::journal article -
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Automated System for Detecting Cyber Bot Attacks in 5G Networks using Machine Learning
Published 2024“…Botnets are compromised computer networks controlled by attackers that are visible for this reason. …”
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Adaptive thresholding based on co-occurrence matrix edge information
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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Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images
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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Compressed Sensing Implementations For Sparse Channel Estimation In OFDM Systems
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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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
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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USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING
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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Texture-based feature using multi-blocks gray level co-occurrence matrix for ethnicity identification
Published 2020“…In the feature extraction process, a Grey Level Co-occurrence Matrix (GLCM) under different face blocks were employed. …”
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An Approach for SARS-CoV-2 Infected Cases Report Analysis
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A scheduling algorithm for bandwidth aggregation in heterogeneous wireless network
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Probability based fast inter mode decision algorithm for H.264/AVC
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Engine fault diagnosis using probabilistic neural network
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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Protection of the texts using Base64 and MD5
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