Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Erlong Tan"'
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:
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
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::cddf772cc03e9e48517e620a1018f1f6
https://ieeexplore.ieee.org/document/8563054/
https://ieeexplore.ieee.org/document/8563054/
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::a34eb2b1c2fe4e05ae6281f8c8a7366b
https://doi.org/10.1109/access.2018.2879809
https://doi.org/10.1109/access.2018.2879809
Publikováno v:
2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA).
The organization and management of emergency scenarios is an important task that could prevent a huge loss of lives and property. Fast and reliable decisions would minimize the impact of the accident. Current decision making mainly relies on the expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b412f25ae01d267b5384498b79c4a0dd
https://doi.org/10.1109/iciea.2019.8833977
https://doi.org/10.1109/iciea.2019.8833977
Publikováno v:
ROBIO
Capturing electromyography (EMG) is always time-consuming and tedious work as it has to located muscle group and attach the electrode with proper skin preparation. In order to reduce the capturing channel, we study modeling of coordinated muscles in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47566acf831c087ea58357042ad23fbf
https://doi.org/10.1109/robio.2018.8664796
https://doi.org/10.1109/robio.2018.8664796