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Abstract: In this paper, we develop a knowledge-assisted deep reinforcement learning (DRL) algorithm to design wireless schedulers in the fifth-generation (5G) cellular networks with time-sensitive ...

A theoretical study by researchers from Huazhong University of Science and Technology and the RIKEN Center for Quantum ...

The extraction of work (i.e., usable energy) from quantum processes is a key focus of quantum thermodynamics research, which explores the application of thermodynamics laws to quantum systems.

AutoGen aims to provide an easy-to-use and flexible framework for accelerating development and research on agentic AI. Over the past year, our work on AutoGen has highlighted the transformative ...

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly ...

Abstract: This article introduces an innovative deep learning design framework for front-end radio frequency energy harvesting (RFEH), using stacking ensemble learning (SEL). The framework integrates ...