Published in September 2021
Authors
B. Bross, J. Chen, J.-R. Ohm, G. J. Sullivan, and Y.-K. Wang
Abstract
In the last 17 years, since the finalization of the first version of the now-dominant H.264/Moving Picture Experts Group-4 (MPEG-4) Advanced Video Coding (AVC) standard…
Published in February 2022
Authors
Y. Chen, C.-B. Schönlieb, P. Liò, T. Leiner, P. L. Dragotti, G. Wang, D. Rueckert, D. Firmin, and G. Yang
Abstract
Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition…
Published in January 2022
Authors
C. Song, Y. Ding, A. Eid, J. G. D. Hester, X. He, R. Bahr, A. Georgiadis, G. Goussetis, and M. M. Tentzeris
Abstract
Backscatter communication is an emerging paradigm for pervasive connectivity of low-power communication devices. Wirelessly powered…
Published in February 2012
Authors
A. Ursúa, L. M. Gandía, and P. Sanchis
Abstract
This paper reviews water electrolysis technologies for hydrogen production and also surveys the state of the art of water electrolysis integration with renewable energies. First, attention is paid to…
Published in June 2021
Authors
I. Husain, B. Ozpineci, Md S. Islam, E. Gurpinar, G.-J. Su, W. Yu, S. Chowdhury, L. Xue, D. Rahman, and R. Sahu
Abstract
The transition to electric road transport technologies requires electric traction drive systems to offer improved…
Published in May 2021
Authors
M. Davies, A. Wild, G. Orchard, Y. Sandamirskaya, G. A. Fonseca Guerra, P. Joshi, P. Plank, and S. R. Risbud
Abstract
Deep artificial neural networks apply principles of the brain's information processing that led to breakthroughs…
Published in June 2021
Authors
F. Blaabjerg, H. Wang, I. Vernica, B. Liu, and P. Davari
Abstract
The electrification of the transportation sector is moving on at a fast pace. All car manufacturers have strong programs to electrify their car fleet to fulfill…
Published in May 2021
Authors
L. Ruff, J. R. Kauffmann, R. A. Vandermeulen, G. Montavon, W. Samek, M. Kloft, T. G. Dietterich, and K.-R. Müller
Abstract
Deep learning approaches to anomaly detection (AD) have recently improved the state of the art in detection…
Published in January 2021
Authors
F. Zhuang, Z. Qi, K. Duan, D. Xi, Y. Zhu, H. Zhu, H. Xiong, and Q. He
Abstract
Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different…
https://youtu.be/KT7GuScjZxY
PUBLISHED IN MARCH 2019 Authors M. Anderson, S. L. Anderson, and V. Berenz Abstract In this paper, a case-supported principle-based behavior paradigm is proposed to help ensure ethical behavior of autonomous machines. We argue that ethically significant behavior of autonomous systems…