Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Yinli Jin"'
Publikováno v:
Bioactive Materials, Vol 38, Iss , Pp 292-304 (2024)
Delays in infected wound healing are usually a result of bacterial infection and local inflammation, which imposes a significant and often underappreciated burden on patients and society. Current therapies for chronic wound infection generally suffer
Externí odkaz:
https://doaj.org/article/02e0d463f4d240a8a3432950fae2ad86
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7433 (2024)
Scheduling decisions for concurrent emergency response (CER) across multiple disaster sites presents numerous difficulties. The main challenge is to minimize human casualties while taking into account the rationality of resource allocation across dif
Externí odkaz:
https://doaj.org/article/7c6301b71f9b47568dd17f97781d9b75
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e25957- (2024)
Predicting the duration of traffic accidents is a critical component of traffic management and emergency response on expressways. Traffic accident information is inherently multi-mode data in terms of data types. However, most existing studies focus
Externí odkaz:
https://doaj.org/article/8c7d8ef8f20642258415ca8735b74c1c
Publikováno v:
IEEE Access, Vol 8, Pp 21226-21235 (2020)
Traffic congestion detection plays an important role for road management. However, it is difficult to automatically report traffic congestion when it occurs in large-scale road network. One of key challenges for rapidly and precisely identifying earl
Externí odkaz:
https://doaj.org/article/f02c89077de7414196c11074ec458ead
Publikováno v:
IEEE Access, Vol 8, Pp 112357-112367 (2020)
Road weather conditions are closed-related to the transportation safety and traffic capacity. With the development of road surveillance systems, weather conditions could be recognized from video. However, it is hard to be detected by machine. To addr
Externí odkaz:
https://doaj.org/article/53eac945daac48888775885ea66d02d3
Publikováno v:
IEEE Access, Vol 7, Pp 9057-9070 (2019)
Both road users and administrators are keen to know the traffic volume at the arbitrary point on the road network. In China, charging systems have been fully established in closed large-regional freeway networks. They have accumulated massive amounts
Externí odkaz:
https://doaj.org/article/75dad761b02748dfb63611cf7da13a21
Publikováno v:
IEEE Access, Vol 7, Pp 88799-88810 (2019)
Traffic conditions of truck flow is one of the critical factors influencing transportation safety and efficiency, which is directly related to traffic accidents, maintenance scheduling, traffic flow interruption, risk control, and management. The est
Externí odkaz:
https://doaj.org/article/93632f4b7628491e817c7103f2af276e
Publikováno v:
IEEE Access, Vol 7, Pp 125101-125112 (2019)
In order to promote travel safety and efficiency, many management staff are engaged to provide service to avoid long queues. Those manpower demands unavoidably introduce overstaffing, which is a great waste during off-peak period. However, it is not
Externí odkaz:
https://doaj.org/article/1587d17af8564919bd14f56c721f6310
Publikováno v:
IEEE Access, Vol 6, Pp 79211-79221 (2018)
In order to forecast the traffic flow more precisely, a novel hybrid model is proposed with multiple sources of traffic data in the spatiotemporal dimension. In the practical application of the proposed model, multiple sources of data are captured an
Externí odkaz:
https://doaj.org/article/ca9e5e0819524729b26ba6e114245878
Publikováno v:
IEEE Access, Vol 6, Pp 68910-68919 (2018)
Despite the huge amount of traffic surveillance videos and images have been accumulated in the daily monitoring, deep learning approaches have been underutilized in the application of traffic intelligent management and control. In this paper, traffic
Externí odkaz:
https://doaj.org/article/922c5729f37f46fb908ce97ff8475a15