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A machine learning-based methodology to uniquely identify network devices using DNS query patterns, combining unsupervised clustering (K-Means) with supervised classification (Random Forest).
Abstract: Resume parsing has become essential in modern recruitment systems, requiring efficient extraction and classification of candidate information from diverse document formats. This paper ...
Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
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