Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: This research uses agglomerative hierarchical clustering to classify credit card users into behaviorally different segments, facilitating data-driven marketing. Examining a large database of ...
Effective video summarisation and captioning have become essential for improving content accessibility and usability because to the explosive growth of digital video content. This work tackles the ...
The data and soil profiles in this package are not actual measurements but are derived from field measurements. It is assumed that the soil profile and associated data are typical for the soil at a ...
A machine learning-based methodology to uniquely identify network devices using DNS query patterns, combining unsupervised clustering (K-Means) with supervised classification (Random Forest).
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