Zobrazeno 51 - 60
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pro vyhledávání: '"Phan, Huy"'
Publikováno v:
Proceedings of the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 716-720
Polyphonic sound event localization and detection (SELD) has many practical applications in acoustic sensing and monitoring. However, the development of real-time SELD has been limited by the demanding computational requirement of most recent SELD sy
Externí odkaz:
http://arxiv.org/abs/2111.08192
Autor:
Phan, Huy, Mikkelsen, Kaare
Modern deep learning holds a great potential to transform clinical practice on human sleep. Teaching a machine to carry out routine tasks would be a tremendous reduction in workload for clinicians. Sleep staging, a fundamental step in sleep practice,
Externí odkaz:
http://arxiv.org/abs/2111.08446
Autor:
Fara, Romain, Phan-Huy, Dinh-Thuy, Ourir, Abdelwaheb, Kokar, Yvan, Prévotet, Jean-Christophe, Hélard, Maryline, Di Renzo, Marco, De Rosny, Julien
Ambient backscatter communication is an emerging and promising low-energy technology for the Internet of Things. In such a system, a tag sends a binary message to a reader by backscattering a radio frequency signal generated by an ambient source. The
Externí odkaz:
http://arxiv.org/abs/2111.02401
Ambient backscatter communication system is an emerging and promising low-energy technology for Internet of Things. In such system, a device named tag, sends a binary message to a reader by backscattering a radio frequency signal generated by an ambi
Externí odkaz:
http://arxiv.org/abs/2111.01917
Ambient backscatter communications have been introduced as low-power communications for green networking. This technology is very promising as it recycles ambient radio frequency waves, however such systems have limitations and suffer from poor perfo
Externí odkaz:
http://arxiv.org/abs/2111.01918
Filter pruning has been widely used for neural network compression because of its enabled practical acceleration. To date, most of the existing filter pruning works explore the importance of filters via using intra-channel information. In this paper,
Externí odkaz:
http://arxiv.org/abs/2110.13981
Footsteps are among the most ubiquitous sound effects in multimedia applications. There is substantial research into understanding the acoustic features and developing synthesis models for footstep sound effects. In this paper, we present a first att
Externí odkaz:
http://arxiv.org/abs/2110.09605
Autor:
Strinati, Emilio Calvanese, Alexandropoulos, George C., Wymeersch, Henk, Denis, Benoit, Sciancalepore, Vincenzo, D'Errico, Raffaele, Clemente, Antonio, Phan-Huy, Dinh-Thuy, De Carvalho, Elisabeth, Popovski, Petar
Various visions on the forthcoming sixth Generation (6G) networks point towards flexible connect-and-compute technologies to support future innovative services and the corresponding use cases. 6G should be capable to accommodate ever-evolving and het
Externí odkaz:
http://arxiv.org/abs/2110.07547
In this paper, we introduce the new concept of Crowd-Detectable Zero-Energy-Devices. Such devices harvest solar or ambient light energy to power themselves, backscatter ambient waves to communicate, and are detected simultaneously by a smartphone con
Externí odkaz:
http://arxiv.org/abs/2110.05927
Background: Despite the tremendous progress recently made towards automatic sleep staging in adults, it is currently unknown if the most advanced algorithms generalize to the pediatric population, which displays distinctive characteristics in overnig
Externí odkaz:
http://arxiv.org/abs/2108.10211