Zobrazeno 1 - 10
of 96
pro vyhledávání: '"spatiotemporal dependence"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract With the development of society and the advancement of urbanization, the development of intelligent transportation system has attracted much attention. Efficient and accurate traffic flow prediction is one of the core tasks in the research o
Externí odkaz:
https://doaj.org/article/e86f0a85544c4e42bdd73d60923b8fe9
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102760- (2024)
Predicting the trajectory of geographical events, such as wildfire spread, presents a formidable task due to the dynamic associations among influential biophysical factors. Geo-events like wildfires frequently display short and long-range spatial and
Externí odkaz:
https://doaj.org/article/579f42dd3d3940d3b3bb0d4832198f8c
Publikováno v:
Weather and Climate Extremes, Vol 45, Iss , Pp 100695- (2024)
Climate strongly influences fire activity, and the alignment of multiple weather and climate extremes, such as co-occurrence of hot and dry, leads to more severe fires. Recognizing the knowledge gap on the combination of compound drought–heatwave e
Externí odkaz:
https://doaj.org/article/7d3fd2bb8d6847f38e226f93d4a6e695
Autor:
Zhenglong Tang, Chao Chen
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2542-2567 (2024)
Ride-hailing demand prediction is essential in fundamental research areas such as optimizing vehicle scheduling, improving service quality, and reducing urban traffic pressure. Therefore, achieving accurate and timely demand prediction is crucial. To
Externí odkaz:
https://doaj.org/article/64dabf98ea39402e981693743f609d80
Publikováno v:
Future Internet, Vol 16, Iss 6, p 189 (2024)
Traffic flow prediction is considered to be one of the fundamental technologies in intelligent transportation systems (ITSs) with a tremendous application prospect. Unlike traditional time series analysis tasks, the key challenge in traffic flow pred
Externí odkaz:
https://doaj.org/article/64a565c2c23a4f6389af8931b3133bb9
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 3, p 100 (2024)
Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth’s surface over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource management, contributing to the sustainable use of land, and maint
Externí odkaz:
https://doaj.org/article/6fb49cb2b5ea45d4adaee31523f68e56
Akademický článek
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Akademický článek
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Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 9, p 366 (2023)
Considering the spatial and temporal correlation of traffic flow data is essential to improve the accuracy of traffic flow prediction. This paper proposes a traffic flow prediction model named Dual Spatial Convolution Gated Recurrent Unit (DSC-GRU).
Externí odkaz:
https://doaj.org/article/0909e0f49ef949f1abc6d0d160f053bb
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 9, Pp 66-75 (2022)
Disturbances in power systems, such as a generator trip, affect the frequency and voltage of the power grid. A framework that enables anticipating potentially dangerous frequency excursions (as signs of the disturbance start to reach sensors) is cruc
Externí odkaz:
https://doaj.org/article/d3474fe96e964c08820c46591b1b5090