Zobrazeno 1 - 10
of 1 252
pro vyhledávání: '"hybrid network"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Integrating RGB and Event (RGBE) multi-domain information obtained by high-dynamic-range and temporal-resolution event cameras has been considered an effective scheme for robust object tracking. However, existing RGBE tracking methods have overlooked
Externí odkaz:
https://doaj.org/article/c9ba7ae14bb74e889b255dbbf6406fbe
Publikováno v:
Open Astronomy, Vol 33, Iss 1, Pp 61-77 (2024)
The increasing amount of massive data generated by commercial spacecraft in orbit puts forward higher and higher requirements for the stability, reliability, and computing power of computer systems for commercial aerospace data center. Data center co
Externí odkaz:
https://doaj.org/article/f9b81b99295a4b8aa0068f71085b5182
Publikováno v:
Guangtongxin yanjiu, Pp 23013701-23013707 (2024)
【Objective】In recent years, data communication traffic has experienced explosive growth. To meet the demands for high-speed, high-capacity data transmission and the diverse network application scenarios, hybrid network beyond 100 Gbit/s (B100 Gbi
Externí odkaz:
https://doaj.org/article/5f03a2a573154c67816946ef287b2102
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 12, Iss 1, Pp 77-88 (2024)
This study proposes a hybrid network model based on data enhancement to address the problem of low accuracy in photovoltaic (PV) power prediction that arises due to insufficient data samples for new PV plants. First, a time-series generative adversar
Externí odkaz:
https://doaj.org/article/0217c4bb594e4a159e76ee28d420f2d4
Autor:
Jinui Lee, Jae‐Ho Han
Publikováno v:
Electronics Letters, Vol 60, Iss 10, Pp n/a-n/a (2024)
Abstract The proliferation of portable and wearable electroencephalography (EEG) devices has encouraged EEG research in various areas. These devices, while convenient, often come with limited computational capabilities. However, the challenge of mini
Externí odkaz:
https://doaj.org/article/2203ecf7408a4047902109b9fa31547b
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 2577-2590 (2023)
Accurate estimating the state of health (SOH) of lithium-ion battery plays a significant role in the safe operation of electric vehicles. With the development of deep learning, neural network-based methods have attracted much attention from researche
Externí odkaz:
https://doaj.org/article/cd0230375a6e400bafe21e72c701bfc1
Publikováno v:
Brain Sciences, Vol 14, Iss 8, p 817 (2024)
In recent years, EEG-based emotion recognition technology has made progress, but there are still problems of low model efficiency and loss of emotional information, and there is still room for improvement in recognition accuracy. To fully utilize EEG
Externí odkaz:
https://doaj.org/article/0136a51bdbb04d748b57a65ebaa41556
Autor:
Ramesh Sundar, Mohammad Amir, Ranjith Subramanian, D. Prabakar, Jayant Giri, G. Balachandran, Furkan Ahmad
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26085- (2024)
This work aims to provide an effective hybrid beam forming method with Dual-Deep-Network to overcome overhead for mm-wave massive MIMO systems. In this paper, a Dual-Deep-Network technique is described for the extraction of statistical structures fro
Externí odkaz:
https://doaj.org/article/fd7acc601a3c4f6498e761953ada7e20
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the progress of technology, inspection UAV clusters oriented to collaborative control are increasingly widely used in electric power inspection with the advantages of information sharing, task collaboration and multiplication of effectiveness. T
Externí odkaz:
https://doaj.org/article/d9d1542c843448748ac3885631159e70
Publikováno v:
Aerospace, Vol 11, Iss 4, p 304 (2024)
In light of the satellite rejection environment and how aircraft can obtain high-precision positioning, this paper proposes a collaborative correction algorithm for aircraft based on the rank-defect network. Aiming at the problem of insufficient anch
Externí odkaz:
https://doaj.org/article/1bbb4c21598d4a7c9d339f012bb50ea8