Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Yongbo Lv"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The problem of quantifying the effect of the alfalfa root morphology on the stability of the shallow surface layer of the slope of the Haizhou open-pit coal mine and the optimal slope degree in terms of the reinforcement of the shallow surfa
Externí odkaz:
https://doaj.org/article/6dec8e9236a143aba4f69a4c75b0cde2
Publikováno v:
Sensors, Vol 22, Iss 5, p 1945 (2022)
Content Delivery Network (CDN) technology is one of the core technologies for performance optimization of mobile WEB applications, but it often encounters bottlenecks in video storage. In this paper, based on studying the basic technical model of dis
Externí odkaz:
https://doaj.org/article/8f509d6c7e8d4513b1da594239bec66d
Publikováno v:
Energies, Vol 15, Iss 4, p 1354 (2022)
Photothermal conversion is an environmentally friendly process that harvests energy from the sun and has been attracting growing research interest in recent years. However, nanostructured strategies to improve light capture performance deserve furthe
Externí odkaz:
https://doaj.org/article/cfb17c2280b84025825792abe92965b5
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 940 (2022)
Bus operation scheduling is closely related to passenger flow. Accurate bus passenger flow prediction can help improve urban bus planning and service quality and reduce the cost of bus operation. Using machine learning algorithms to find the rules of
Externí odkaz:
https://doaj.org/article/27dabf885a924f348d9ac5917258eca2
Publikováno v:
Sensors, Vol 20, Iss 24, p 7089 (2020)
Due to deep learning’s accurate cognition of the street environment, the convolutional neural network has achieved dramatic development in the application of street scenes. Considering the needs of autonomous driving and assisted driving, in a gene
Externí odkaz:
https://doaj.org/article/6f38d6df45a0419aabe73aac5540e13d
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3788 (2020)
With the development of big data and deep learning, bus passenger flow prediction considering real-time data becomes possible. Real-time traffic flow prediction helps to grasp real-time passenger flow dynamics, provide early warning for a sudden pass
Externí odkaz:
https://doaj.org/article/187168229a974c2e8d9ec81832a30b27
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
Analysis of passenger travel habits is always an important item in traffic field. However, passenger travel patterns can only be watched through a period time, and a lot of people travel by public transportation in big cities like Beijing daily, whic
Externí odkaz:
https://doaj.org/article/35a6b7a276ee424480341beb29d0b88f
Publikováno v:
Water, Vol 11, Iss 9, p 1818 (2019)
The degradation of methylene blue (MB) using an upgraded dielectric barrier discharge (DBD) plasma reactor was investigated in this paper. Air plasma was generated in the glass bead packed bed in the reactor, which was propagated into MB solution thr
Externí odkaz:
https://doaj.org/article/5f4857bc29f347e19b4b440bb153d7f6
Publikováno v:
Energies, Vol 11, Iss 9, p 2224 (2018)
To alleviate traffic congestion and traffic-related environmental pollution caused by the increasing numbers of private cars, public transport (PT) is highly recommended to travelers. However, there is an obvious contradiction between the diversifica
Externí odkaz:
https://doaj.org/article/6e7cc6f64893416e97bdb93566349b10
Publikováno v:
Jordan Journal of Mechanical & Industrial Engineering. Jan2022, Vol. 16 Issue 1, p87-95. 9p.