Zobrazeno 1 - 10
of 1 271
pro vyhledávání: '"hybrid network"'
Publikováno v:
Guangtongxin yanjiu, Pp 24004901-24004910 (2024)
【Objective】Compared to Electronic Packet Switching (EPS), Optical Circuit Switching (OCS) demonstrates advantages in latency, power consumption, cost, and stability. This study aims to explore feasible applications of OCS in the networking of tra
Externí odkaz:
https://doaj.org/article/d414340228524bdbb24e122a09a287cb
Autor:
Yungang Tang, Ye Wu
Publikováno v:
Ciência Rural, Vol 55, Iss 2 (2024)
ABSTRACT: This study adopted a more macroscopic perspective to focus on the issue of rural poverty in China. By selecting indicators reflecting various levels of poverty recurrence, considering risk factors across multiple dimensions, and employing a
Externí odkaz:
https://doaj.org/article/2c3810a7d59149cd96d53c893911ca91
MFIHNet: Multiscale Feature Interaction Hybrid Network for Change Detection of Remote Sensing Images
Autor:
Lin Cao, Qi Liu, Shu Tian, Lihong Kang, Jing Tian, Xiangwei Xing, Kangning Du, Huanyu Bian, Peiran Song, Yanan Guo, Chunzhuo Fan, Chong Fu, Ye Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16672-16691 (2024)
Remote sensing image change detection (RSCD) based on deep learning technology has made remarkable achievements. Meanwhile, the enhancement of network architectures and advancements in optimization algorithms have pushed RSCD performance to a higher
Externí odkaz:
https://doaj.org/article/7dc777dd37de485db5169eee1aa113b2
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:
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:
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
Autor:
Anparasy Sivaanpu, Kumaradevan Punithakumar, Rui Zheng, Michelle Noga, Dean Ta, Edmond H. M. Lou, Lawrence H. Le
Publikováno v:
IEEE Access, Vol 12, Pp 168607-168625 (2024)
Ultrasound images are often affected by limited resolution, artifacts, and inherent speckle noise. To address these challenges, researchers have explored denoising approaches. Recently, deep learning methods have demonstrated distinct advantages in u
Externí odkaz:
https://doaj.org/article/8ef7fa16de624e758289311d7e2b5ae2
Publikováno v:
IEEE Access, Vol 12, Pp 146635-146667 (2024)
The hybrid LiFi/WiFi communication networks have demonstrated their efficacy and advantages in terms of data transmission rates. Multiple difficulties were identified in these networks, including the access point assignment (APA) and the process of h
Externí odkaz:
https://doaj.org/article/1c0b81a64c1142a9a73a1bdaf2ca8ecb
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
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