Zobrazeno 1 - 10
of 365
pro vyhledávání: '"VU, THAI"'
Autor:
Aouedi, Ons, Vu, Thai-Hoc, Sacco, Alessio, Nguyen, Dinh C., Piamrat, Kandaraj, Marchetto, Guido, Pham, Quoc-Viet
The rapid advances in the Internet of Things (IoT) have promoted a revolution in communication technology and offered various customer services. Artificial intelligence (AI) techniques have been exploited to facilitate IoT operations and maximize the
Externí odkaz:
http://arxiv.org/abs/2406.03820
Next-generation wireless networks are projected to empower a broad range of Internet-of-things (IoT) applications and services with extreme data rates, posing new challenges in delivering large-scale connectivity at a low cost to current communicatio
Externí odkaz:
http://arxiv.org/abs/2406.01921
Autor:
Vu, Thai-Hoc, Jagatheesaperumal, Senthil Kumar, Nguyen, Minh-Duong, Van Huynh, Nguyen, Kim, Sunghwan, Pham, Quoc-Viet
The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in recent years has promoted the evolution of mobile networking and the future Internet toward an AI-integrated Internet-of-Things (IoT) era. Nevertheless, most
Externí odkaz:
http://arxiv.org/abs/2405.20024
Autor:
Tuyen, Luc Tri, Luan, Vu Thai
The integral representation theorem for martingales has been widely used in probability theory. In this work, we propose and prove a general representation theorem for a class of set-valued submartingales. We also extend the stochastic integral repre
Externí odkaz:
http://arxiv.org/abs/2312.04006
Autor:
Luan, Vu Thai, Alhsmy, Trky
Publikováno v:
Applied Mathematics Letters (2024)
This work constructs the first-ever sixth-order exponential Runge--Kutta (ExpRK) methods for the time integration of stiff parabolic PDEs. First, we leverage the exponential B-series theory to restate the stiff order conditions for ExpRK methods of a
Externí odkaz:
http://arxiv.org/abs/2311.08600
The emergence of new services and applications in emerging wireless networks (e.g., beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) in the Internet of Things (IoT). However, the proliferation of massive IoT
Externí odkaz:
http://arxiv.org/abs/2310.10549
Autor:
Le-Tran, Manh, Vu, Thai-Hoc
Publikováno v:
In AEUE - International Journal of Electronics and Communications December 2024 187
Publikováno v:
In Advances in Space Research 1 December 2024 74(11):5489-5513
By executing offloaded tasks from mobile users, edge computing augments mobile user equipments (UEs) with computing/communications resources from edge nodes (ENs), enabling new services (e.g., real-time gaming). However, despite being more resourcefu
Externí odkaz:
http://arxiv.org/abs/2201.00910