Tag
This paper proposes a joint optimization of memory and computing frequency for energy-efficient DNN inference on mobile devices, achieving up to 10.4% energy reduction compared to other methods.
The paper presents an agentic AI framework that leverages large language models and chain-of-thought reasoning to optimize UAV-assisted logistics scheduling with mobile edge computing, aiming to improve efficiency and resource allocation in manufacturing logistics.