04:00
2026-10-03
machinebrief.com
machine-learning
A First Glance at Jev for Network Traffic Classification: Accuracy, Processing Time, and Cost
A first empirical study of general-purpose decision models for network traffic classification found that Jev reached 28.42% accuracy on ten CESNET-QUICEXT-25 application labels after 40 fixed labeled …