Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Abstract: Resume parsing has become essential in modern recruitment systems, requiring efficient extraction and classification of candidate information from diverse document formats. This paper ...

A machine learning-based methodology to uniquely identify network devices using DNS query patterns, combining unsupervised clustering (K-Means) with supervised classification (Random Forest).