Abstract: To address the flexible assembly job shop scheduling problem, an improved differential evolution algorithm based on Q-Learning is proposed to optimize the makespan, the average product ...

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

Three academic perspectives offer insights on the persistent misconceptions about artificial intelligence in healthcare.

Abstract: This paper investigates the uncrewed aerial vehicles (UAVs) control problem at intersection passages for narrow channels formed by obstacles. A set of non-cooperative value functions is ...