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 ...

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 ...

In the evolving field of neurodegenerative medicine, the challenge is not merely discovering new treatments but ensuri ...

Find more information about Crossref citation counts. The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon ...

This study presents a comprehensive model for single-atom catalysts in CO2RR, highlighting pH and interfacial electric fields ...

Social, emotional, and behavioral skills are critical for success across life domains, yet research is constrained by a lack of internationally validated measures for adult populations. Existing tools ...

A research team has developed a unified theoretical framework to better predict the performance of single-atom catalysts (SACs) for electrochemical carbon dioxide reduction (CO₂RR). Their model ...

This paper was originally prepared for a seminar of the Executive Board of the Fund. In the seminar, Executive Directors expressed a broad range of views with regard to both the adequacy of the Fund's ...