Published in July 2024
Title
The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications
Authors
N. González-Prelcic et al.
Abstract
Future wireless networks will integrate sensing, learning, and communication to provide new services beyond communication and to become more resilient. Sensors…
Published in June 2024
Title
Brain-Inspired Computing: A Systematic Survey and Future Trends
Authors
G. Li et al.
Abstract
Brain-inspired computing (BIC) is an emerging research field that aims to build fundamental theories, models, hardware architectures, and application systems toward more general artificial intelligence…
Published in July 2024
Title
Green Edge AI: A Contemporary Survey
Authors
Y. Mao et al.
Abstract
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude of industries, including consumer electronics, healthcare, and manufacturing, largely due to their significant resurgence over…
Title Fairness and Bias in Robot Learning Authors L. Londoño et al. Abstract Machine learning (ML) has significantly enhanced the abilities of robots, enabling them to perform a wide range of tasks in human environments and adapt to our uncertain real…
Title The Evolution of Applications, Hardware Design, and Channel Modeling for Terahertz (THz) Band Communications and Sensing: Ready for 6G? Authors J. M. Jornet et al. Abstract For decades, the terahertz (THz) frequency band had been primarily explored in the context…
PUBLISHED IN MAY 2024 Title In-Band Full-Duplex: The Physical Layer Authors B. Smida, R. Wichman, K. E. Kolodziej, H. A. Suraweera, T. Riihonen and A. Sabharwal Abstract In this article, we review the key concepts and the progress in the design of…
PUBLISHED IN January 2024
Title
Physical Layer Covert Communication in B5G Wireless Networks—its Research, Applications, and Challenges
Authors
Y. Jiang, L. Wang, H.-H. Chen, and X. Shen
Abstract
Physical layer covert communication is a crucial secure communication technology that enables a transmitter…
Published in May 2021
Title
Toward Causal Representation Learning
Authors
B. Schölkopf, F. Locatello, S. Bauer, N. R. Ke, N. Kalchbrenner, A. Goyal, and Y. Bengio
Abstract
The two fields of machine learning and graphical causality arose and are developed separately.…
PUBLISHED IN OCTOBER 2023
Title
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era
Authors
A. Triantafyllopoulos et al.
Abstract
Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in…
PUBLISHED IN September 2023
Title
Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects
Authors
Y. Li et al.
Abstract
With the increasing penetration of renewable energy and flexible loads in smart grids, a more complicated power system with high…