9   Artículos

 
en línea
Aling Luo, Boyi Shangguan, Can Yang, Fan Gao, Zhe Fang and Dayu Yu    
Taxi demand forecasting plays an important role in ride-hailing services. Accurate taxi demand forecasting can assist taxi companies in pre-allocating taxis, improving vehicle utilization, reducing waiting time, and alleviating traffic congestion. It is ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Zhen Yan, Hongyu Yang, Fan Li and Yi Lin    
Airport traffic flow prediction is a fundamental research topic in the field of air traffic flow management. Most existing works focus on the single airport traffic flow prediction with temporal dynamics but fail to consider the influence of the topologi... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Rui Jiang, Hongyun Xu, Gelian Gong, Yong Kuang and Zhikang Liu    
Vehicle-trajectory prediction is essential for intelligent traffic systems (ITS), as it can help autonomous vehicles to plan a safe and efficient path. However, it is still a challenging task because existing studies have mainly focused on the spatial in... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Liang Ge, Siyu Li, Yaqian Wang, Feng Chang and Kunyan Wu    
Traffic speed prediction plays a significant role in the intelligent traffic system (ITS). However, due to the complex spatial-temporal correlations of traffic data, it is very challenging to predict traffic speed timely and accurately. The traffic speed... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zheng Liu, Feixiang Du, Wang Li, Xu Liu and Qiang Zou    
Given a video containing a person, the video-based person re-identification (Re-ID) task aims to identify the same person from videos captured under different cameras. How to embed spatial-temporal information of a video into its feature representation i... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaofan Wang and Lingyu Xu    
Harmful algal blooms (HABs) often cause great harm to fishery production and the safety of human lives. Therefore, the detection and prediction of HABs has become an important issue. Machine learning has been increasingly used to predict HABs at home and... ver más
Revista: Future Internet    Formato: Electrónico

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