Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xiaofen Fang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract In the rapidly evolving landscape of Internet of Things (IoT), Zigbee networks have emerged as a critical component for enabling wireless communication in a variety of applications. Despite their widespread adoption, Zigbee networks face sig
Externí odkaz:
https://doaj.org/article/6bb98b926f5548708a4e62febc042e01
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31222- (2024)
Super-capacitors (SCs), as new energy conversion storage elements, have attracted much attention, but there is still a research gap in the design of electrode materials. In this study, the optimization scheme of Metal-Organic Frameworks (MOFs) and co
Externí odkaz:
https://doaj.org/article/f70f58879c7442f8857741b2254ee20e
Publikováno v:
Energies, Vol 17, Iss 12, p 2959 (2024)
In the field of intelligent transportation, the planning of traffic flows that meet energy-efficient driving requirements necessitates the acquisition of energy consumption data for each vehicle within the traffic flow. The current methods for calcul
Externí odkaz:
https://doaj.org/article/d893251330614442b085c96d4e5dfe9b
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
With the rapid development of electric drive technology for new energy vehicles, fault data identification of key components of electric drives has become a crucial issue in improving the stability and safety of electric systems. However, traditional
Externí odkaz:
https://doaj.org/article/858ac3ef32c54199af9fb8519e236162
Publikováno v:
Engineering Advances. 2:175-181
Autor:
Xiaofen Fang
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 480:012015
When the conventional logistics distribution demand forecasting method was used to forecast the multi-region logistics distribution demand, there was a lack of low analysis accuracy. Therefore, a multi-region logistics distribution demand forecasting
Autor:
Xiaofen Fang, Kunli Fang
Publikováno v:
Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering.
Auto repair is a process which solves the problem iteratively and constantly. It is required to establish the knowledge base model and the inference base model. Meanwhile, it develops the knowledge-based auto repair diagnostic system through the inte