Zobrazeno 61 - 70
of 1 622
pro vyhledávání: '"Phan, Huy"'
Autor:
Kelif, Jean-Marc, Phan-Huy, Dinh-Thuy
Ambient backscatter communications have been identified for ultra-low energy wireless communications. Indeed, a tag can send a message to a reader without emitting any wave and without battery, simply by backscattering the waves generated by a source
Externí odkaz:
http://arxiv.org/abs/2108.02018
Autor:
Phan, Huy, Mikkelsen, Kaare, Chén, Oliver Y., Koch, Philipp, Mertins, Alfred, De Vos, Maarten
Background: Black-box skepticism is one of the main hindrances impeding deep-learning-based automatic sleep scoring from being used in clinical environments. Methods: Towards interpretability, this work proposes a sequence-to-sequence sleep-staging m
Externí odkaz:
http://arxiv.org/abs/2105.11043
Autor:
Strinati, Emilio Calvanese, Alexandropoulos, George C., Sciancalepore, Vincenzo, Di Renzo, Marco, Wymeersch, Henk, Phan-huy, Dinh-Thuy, Crozzoli, Maurizio, D'Errico, Raffaele, De Carvalho, Elisabeth, Popovski, Petar, Di Lorenzo, Paolo, Bastianelli, Luca, Belouar, Mathieu, Mascolo, Julien Etienne, Gradoni, Gabriele, Phang, Sendy, Lerosey, Geoffroy, Denis, Benoît
The design of 6th Generation (6G) wireless networks points towards flexible connect-and-compute technologies capable to support innovative services and use cases. Targeting the 2030 horizon, 6G networks are poised to pave the way for sustainable huma
Externí odkaz:
http://arxiv.org/abs/2104.06265
Autor:
Mikkelsen, Kaare B., Phan, Huy, Rank, Mike L., Hemmsen, Martin C., de Vos, Maarten, Kidmose, Preben
Modern sleep monitoring development is shifting towards the use of unobtrusive sensors combined with algorithms for automatic sleep scoring. Many different combinations of wet and dry electrodes, ear-centered, forehead-mounted or headband-inspired de
Externí odkaz:
http://arxiv.org/abs/2104.04567
Autor:
Fara, Romain, Phan-Huy, Dinh-Thuy, Ratajczak, Philippe, Ourir, Abdelwaheb, Di Renzo, Marco, de Rosny, Julien
Sixth generation (6G) mobile networks may include new passive technologies, such as ambient backscatter communication or the use of reconfigurable intelligent surfaces, to avoid the emission of waves and the corresponding energy consumption. On the o
Externí odkaz:
http://arxiv.org/abs/2103.08427
Autor:
Phan, Huy, Nguyen, Huy Le, Chén, Oliver Y., Pham, Lam, Koch, Philipp, McLoughlin, Ian, Mertins, Alfred
We propose in this work a multi-view learning approach for audio and music classification. Considering four typical low-level representations (i.e. different views) commonly used for audio and music recognition tasks, the proposed multi-view network
Externí odkaz:
http://arxiv.org/abs/2103.02420
Publikováno v:
In Journal of Water Process Engineering February 2024 58
Autor:
Autthasan, Phairot, Chaisaen, Rattanaphon, Sudhawiyangkul, Thapanun, Rangpong, Phurin, Kiatthaveephong, Suktipol, Dilokthanakul, Nat, Bhakdisongkhram, Gun, Phan, Huy, Guan, Cuntai, Wilaiprasitporn, Theerawit
Publikováno v:
IEEE Transactions on Biomedical Engineering 2021
Advances in the motor imagery (MI)-based brain-computer interfaces (BCIs) allow control of several applications by decoding neurophysiological phenomena, which are usually recorded by electroencephalography (EEG) using a non-invasive technique. Despi
Externí odkaz:
http://arxiv.org/abs/2102.03814
This paper presents an inception-based deep neural network for detecting lung diseases using respiratory sound input. Recordings of respiratory sound collected from patients are firstly transformed into spectrograms where both spectral and temporal i
Externí odkaz:
http://arxiv.org/abs/2012.13699
Autor:
Guo, Hao, Makki, Behrooz, Phan-Huy, Dinh-Thuy, Dahlman, Erik, Alouini, Mohamed-Slim, Svensson, Tommy
In future wireless systems, a large number of users may access the networks via moving relays (MRs) installed on top of vehicles. One of the main challenges of MRs is rapid channel variation which may make channel estimation, and its following proced
Externí odkaz:
http://arxiv.org/abs/2012.10537