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certification » verification (Expand Search), identification (Expand Search), stratification (Expand Search)
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certification » verification (Expand Search), identification (Expand Search), stratification (Expand Search)
purification » publication (Expand Search)
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Robust Training of Social Media Image Classification Models
Published 2022Subjects: “…Social media image classification…”
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Multi-Label Image Classification by Feature Attention Network
Published 2019“…The label correlation is the key to solve the multi-label classification but it is too abstract to model. Most solutions try to learn image label dependencies to improve multi-label classification performance. …”
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Comparative Study on Arabic Text Classification: Challenges and Opportunities
Published 2022Subjects: “…Arabic text classification…”
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Drone/Bird Classification Based on Features of Tracks Trajectories
Published 2023“…Standard Machine Learning methods such as SVM and Random Forest are used for learning this classification. Features based on the kinematics, Gabor filter, and Gray Level Co-occurrence Matrix are utilized. …”
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Dickson polynomial-based secure group authentication scheme for Internet of Things
Published 2024Subjects: -
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Production of Activated Carbon from Sewage Sludge for the Removal of Lead from Water
Published 2012Subjects: Get full text
doctoralThesis -
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The effect of ZrOx modification of graphene nanoribbon on its adsorption for NOx: A DFT investigation
Published 2022“…Though the adsorption energy of NO<sub>x</sub> gas is boosted, generally, for AGNR structures due to modification with ZrO<sub>x</sub>, the doped structures have greater adsorption energy when compared with the decoration ones. …”
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FPGA-Based Network Traffic Classification Using Machine Learning
Published 2019Subjects: “…Traffic classification…”
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doctoralThesis -
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Evaluating the Robustness of Deep Learning Models for Time Series Classification
Published 2020Get full text
masterThesis -
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On the Performance of Time Frequency Distributions in A-Scan Signals Classification
Published 2020“…We show that the means and spreads extracted from such signals can be used as robust features for classification of A-scans signals. We also show the best discrimination among different classes of A-scans can be obtained using the Gabor transform.…”
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IMMUNE-INSPIRED PREDICTIVE MODELS FOR EMAIL CLASSIFICATION AND SPAM FILTERING
Published 2020Get full text
masterThesis