Zobrazeno 1 - 10
of 215
pro vyhledávání: '"N. T. Nhan"'
Autor:
Amir Abbas Tahami Monfared, N. T. Nhan Phan, Isobel Pearson, Josephine Mauskopf, Min Cho, Quanwu Zhang, Harald Hampel
Publikováno v:
Neurology and Therapy, Vol 12, Iss 4, Pp 1257-1284 (2023)
Abstract Introduction Alzheimer’s disease (AD) is a disease continuum from pathophysiologic, biomarker and clinical perspectives. With the advent of advanced technologies, diagnosing and managing patients is evolving. Methods A systematic literatur
Externí odkaz:
https://doaj.org/article/2e3d4fefcd664d70af9771e9d3896836
Autor:
Tahami Monfared, Amir Abbas1,2 (AUTHOR) Amir_Tahami@eisai.com, Phan, N. T. Nhan3 (AUTHOR), Pearson, Isobel3 (AUTHOR), Mauskopf, Josephine4 (AUTHOR), Cho, Min1 (AUTHOR), Zhang, Quanwu1 (AUTHOR), Hampel, Harald1 (AUTHOR)
Publikováno v:
Neurology & Therapy. Aug2023, Vol. 12 Issue 4, p1257-1284. 28p.
Autor:
Nguyen, L. V. (Ly V.), Nguyen, N. T. (Nhan T.), Tran, N. H. (Nghi H.), Juntti, M. (Markku), Swindlehurst, A. L. (A. Lee), Nguyen, D. H. (Duy H. N.)
Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-generation wireless systems. Utilizing large antenna arrays at base-stations, massive MIMO enables substantial spatial multiplexing gains by simultaneously serving a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::532bb1cf6c4c8d21fb8c623b55f177bf
http://urn.fi/urn:nbn:fi-fe202301265946
http://urn.fi/urn:nbn:fi-fe202301265946
Beam Squint Effects in THz Communications with UPA and ULA: Comparison and Hybrid Beamforming Design
Publikováno v:
2022 IEEE Globecom Workshops (GC Wkshps).
Future 6G and beyond wireless systems aim at ultra-high data rates from very large bandwidths in millimeter-wave and terahertz bands. Large bandwidth signals in antenna arrays lead to beam squint or frequency-selective array response causing losses i
Autor:
T. A. Dung, N. T. Nhan, N. T. Thuong, D. Q. Viet, N. H. Tung, P. T. Nghia, S. Kawahara, T. T. Thuy
Publikováno v:
International Journal of Polymer Science, Vol 2017 (2017)
The dynamic mechanical behavior of modified deproteinized natural rubber (DPNR) prepared by graft copolymerization with various styrene contents was investigated at a wide range of temperatures. Graft copolymerization of styrene onto DPNR was perform
Externí odkaz:
https://doaj.org/article/7e8e40f172df4bf7aafacca81792e2db
Autor:
Nguyen, N. T. (Nhan T.), Nguyen, V.-D. (V.-Dinh), Nguyen, H. V. (Hieu V.), Ngo, H. Q. (Hien Q.), Chatzinotas, S. (Symeon), Juntti, M. (Markku)
We consider in this work a cell-free (CF) massive multiple-input-multiple-output (mMIMO) system where multiple hybrid relay-reflecting intelligent surfaces (HR-RIS) are deployed to assist communication between access points and users. We first presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::62ef4c4b0681f379568daa1425e1f976
http://urn.fi/urn:nbn:fi-fe202301091846
http://urn.fi/urn:nbn:fi-fe202301091846
Autor:
Ngo, K.-H. (Khac-Hoang), Nguyen, N. T. (Nhan Thanh), Dinh, T. Q. (Thinh Quang), Hoang, T.-M. (Trong-Minh), Juntti, M. (Markku)
Recently, the hybrid relay-reflecting intelligent surface (HRRIS) has been introduced as a spectral- and energy-efficient architecture to assist wireless communication systems. In the HRRIS, a single or few active relay elements are deployed along wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::05e650fa4a8640f61d248e938a9c2942
http://urn.fi/urn:nbn:fi-fe202301091858
http://urn.fi/urn:nbn:fi-fe202301091858
Autor:
Pham, Q.-V. (Quoc-Viet), Nguyen, N. T. (Nhan Thanh), Huynh-The, T. (Thien), Le, L. B. (Long Bao), Lee, K. (Kyungchun), Hwang, W.-J. (Won-Joo)
Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network heterogeneity, diverse service requirements, a massive number of connections, and various radio chara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::9d527159b5bc0df24262f05e725c1e16
http://urn.fi/urn:nbn:fi-fe2021090745286
http://urn.fi/urn:nbn:fi-fe2021090745286
Autor:
Huynh-The, T. (Thien), Pham, Q.-V. (Quoc-Viet), Nguyen, T.-V. (Toan-Van), Doan, V.-S. (Van-Sang), Nguyen, N. T. (Nhan Thanh), Benevides da Costa, D. (Daniel), Kim, D.-S. (Dong-Seong)
This paper presents a deep learning-based method to automatically recognize low probability of intercept (LPI) radar waveforms against diversified jamming attacks. Concretely, an efficient convolutional neural network (CNN) architecture, namely Dense
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::50c9f31a3c8cc80fd1d6a07de50d466b
http://urn.fi/urn:nbn:fi-fe202201031020
http://urn.fi/urn:nbn:fi-fe202201031020
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.