Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guanru Tan"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 2, Pp 244-257 (2024)
Abstract For the transport networks only equipped with sparse or isolated detectors, short‐term traffic flow forecasting faces the following problems: (1) there are only temporal information and no spatial information; (2) the noises in the traffic
Externí odkaz:
https://doaj.org/article/c09840587ce343e89951277cd14bba6b
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 1, Pp 41-52 (2022)
Abstract Accurate and timely short‐term traffic flow forecasting is an essential component for intelligent traffic management systems. However, developing an effective and robust forecasting model is challenging due to the inherent randomness and n
Externí odkaz:
https://doaj.org/article/294cffd2d8bf47268c005008bcac16d5
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 3, Pp 2219-2239 (2022)
The neuropsychiatric systemic lupus erythematosus (NPSLE), a severe disease that can damage the heart, liver, kidney, and other vital organs, often involves the central nervous system and even leads to death. Magnetic resonance spectroscopy (MRS) is
Externí odkaz:
https://doaj.org/article/0bcd7166da644868b9acd8d5cc8c174d
Autor:
Jinming Qiu, Guanru Tan, Yan Lin, Jitian Guan, Zhuozhi Dai, Fei Wang, Caiyu Zhuang, Alan H. Wilman, Huaidong Huang, Zhen Cao, Yanyan Tang, Yanlong Jia, Yan Li, Teng Zhou, Renhua Wu
Publikováno v:
Magnetic resonance imaging. 94
Intracranial atherosclerotic stenosis of a major intracranial artery is the common cause of ischemic stroke. We evaluate the feasibility of using deep learning to automatically detect intracranial arterial steno-occlusive lesions from time-of-flight
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783030953874
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ac1541d0873f15aea216e01ff9f9b46
https://doi.org/10.1007/978-3-030-95388-1_4
https://doi.org/10.1007/978-3-030-95388-1_4
Publikováno v:
International Conference on Smart Transportation and City Engineering 2021.
Traffic flow prediction is an essential foundation of intelligent traffic management, and its accuracy and timeliness are essential indicators for effective traffic diversion and alleviation of traffic congestion. Aiming at the nonlinear relationship