Abstract: This article revisits the event-triggered control problem from a data-driven perspective, where unknown continuous-time linear systems subject to disturbances are taken into account. Using ...

Abstract: In this paper, we present our primary version of DQL-MultiMDP, a flexible load balancing approach designed to ensure long-term user satisfaction in modern WiFi networks (WiFi 7 and beyond).

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Imagine you are working on a Laravel (for example) project that uses its own routing system and Blade templating engine. You want to leverage Vue.js only in specific parts of the page where it's truly ...