55   Artículos

 
en línea
Sorin Zoican, Roxana Zoican, Dan Galatchi and Marius Vochin    
This paper illustrates a general framework in which a neural network application can be easily integrated and proposes a traffic forecasting approach that uses neural networks based on graphs. Neural networks based on graphs have the advantage of capturi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu    
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Cyril Bourgenot, Valdis Krumins, David G. Bramall and Abdul M. Haque    
CubeSats, known for their compact size and cost effectiveness, have gained significant popularity. However, their limited size imposes restrictions on the optical aperture and, consequently, the Ground Resolution Distance in Earth Observation missions. T... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Yunong Zhang, Anmin Zhang, Miao Gao and Yi Liang    
Spatial relation models are the basis for realising three-dimensional spatial analysis. More researchers are now focusing on models that combine topological relations with distance or directional relations; however, a model that unifies all three relatio... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Iwona Kaczmarek, Adam Iwaniak and Aleksandra Swietlicka    
Classification is one of the most-common machine learning tasks. In the field of GIS, deep-neural-network-based classification algorithms are mainly used in the field of remote sensing, for example for image classification. In the case of spatial data in... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Neil Sang    
The continuous nature of space and time is a fundamental tenet of many scientific endeavors. That digital representation imposes granularity is well recognized, but whether it is possible to address space completely remains unanswered. This paper argues ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Klaus Röbenack and Stefan Palis    
The classical buck converter is a very common DC?DC converter, which reduces an higher input supply voltage to a lower output load voltage. Replacing the inductor and the capacitor by a transmission line, we obtain a distributed buck converter, which can... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Litao Han, Hu Qiao, Zeyu Li, Mengfan Liu and Pengfei Zhang    
Indoor space information is the basis of indoor location services such as indoor navigation, path planning, emergency evacuation, etc. Focusing on indoor navigation needs, this paper proposes a fast construction algorithm for a complex indoor space topol... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Zhuhua Liao, Haokai Huang, Yijiang Zhao, Yizhi Liu and Guoqiang Zhang    
Urban planning and function layout have important implications for the journeys of a large percentage of commuters, which often make up the majority of daily traffic in many cities. Therefore, the analysis and forecast of traffic flow among urban functio... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Thi Hong Diep Dao and Jean-Claude Thill    
In this paper, we take the position that cities gain to be represented as three-dimensional spaces populated by scores of micro-scale-built spaces (buildings, rooms, passageways, squares, etc.). Effective algorithms that evaluate place-based accessibilit... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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