Zobrazeno 1 - 10
of 122
pro vyhledávání: '"multi-armed bandit (MAB)"'
Autor:
Amran P. Salmeno, Irma Zakia
Publikováno v:
IEEE Access, Vol 12, Pp 71997-72012 (2024)
Due to the dominant line-of-sight (LOS) component of high-altitude platform (HAP) communications, tracking the high-speed railway (HSR) uplink channel commonly involves forming received beam based on the estimated direction-of-arrival (DOA) of the LO
Externí odkaz:
https://doaj.org/article/27dd7bded5fe433292486db9241fe0bc
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1656 (2024)
Federated learning (FL) is a distributed machine learning approach that can enable Internet of Things (IoT) edge devices to collaboratively learn a machine learning model without explicitly sharing local data in order to achieve data clustering, pred
Externí odkaz:
https://doaj.org/article/84a90c16d9e14e93b76df76897304a8f
Publikováno v:
IEEE Access, Vol 11, Pp 104763-104774 (2023)
Fog computing is a decentralized computing infrastructure that extends the capabilities of cloud computing closer to the edge of the network. In a fog computing network (FCN), computing resources, such as processing power, storage, and networking, ar
Externí odkaz:
https://doaj.org/article/88b1a61d53e5489582c634a9da56d6be
A Fairness-Enhanced Federated Learning Scheduling Mechanism for UAV-Assisted Emergency Communication
Publikováno v:
Sensors, Vol 24, Iss 5, p 1599 (2024)
As the frequency of natural disasters increases, the study of emergency communication becomes increasingly important. The use of federated learning (FL) in this scenario can facilitate communication collaboration between devices while protecting priv
Externí odkaz:
https://doaj.org/article/49bb97d92fe54587b7985bc552dfe579
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
With the increase of devices in power grids, a critical challenge emerges on how to collect information from massive devices, as well as how to manage these devices. Mobile crowdsensing is a large-scale sensing paradigm empowered by ubiquitous device
Externí odkaz:
https://doaj.org/article/fd1dabbaf5f54817a7806e317e71a5f3
Akademický článek
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Autor:
Sherief Hashima, Imbaby Mahmoud
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 67, Iss No 2, Pp 175-180 (2021)
Due to the severe damages of nuclear accidents, there is still an urgent need to develop efficient radiation detection wireless sensor networks (RDWSNs) that precisely monitor irregular radioactivity. It should take actions that mitigate the severe c
Externí odkaz:
https://doaj.org/article/2d5be2adb3f34b199a870828baf932f6
Autor:
Soohyun Cho
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8485 (2023)
Herein, we propose the use of the logarithmic values of data transmission rates for multi-armed bandit (MAB) algorithms that adjust the modulation and coding scheme (MCS) levels of data packets in carrier-sensing multiple access/collision avoidance (
Externí odkaz:
https://doaj.org/article/a42c767aaad749d89ac78de81b6ae0d7
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward. This type of online decision is prominent in many procedures of Brain-Computer Interfaces (BCI
Externí odkaz:
https://doaj.org/article/ac265407519049f0aacd08fcc0bab98f
Autor:
Yiyang Wang, Neda Masoud
Publikováno v:
IEEE Access, Vol 9, Pp 142475-142488 (2021)
We extend the adversarial/non-stochastic multi-play multi-armed bandit (MPMAB) to the case where the number of arms to play is variable. The work is motivated by the fact that the resources allocated to scan different critical locations in an interco
Externí odkaz:
https://doaj.org/article/04aa55b312d745059e6a4405c219af04