Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
IEEE

Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions

Abstract: With the rapid growth of internet usage and the increasing number of connected devices, there is a critical need for advanced Network Traffic Classification (NTC) solutions to ensure optimal ...
IEEE

Multi-Agent Optimizing Traffic Light Signals Using Deep Reinforcement Learning

Abstract: In recent years, rapid urbanization has led to increased traffic congestion, rendering traditional traffic light control methods ineffective. Deep Reinforcement Learning (DRL) has emerged as ...