ARTÍCULO
TITULO

Density-Based Clustering with Geographical Background Constraints Using a Semantic Expression Model

Qingyun Du    
Zhi Dong    
Chudong Huang and Fu Ren    

Resumen

No disponible

 Artículos similares

       
 
Syed Adil Hussain, Muhammad Umair Hassan, Wajeeha Nasar, Sara Ghorashi, Mona M. Jamjoom, Abdel-Haleem Abdel-Aty, Amna Parveen and Ibrahim A. Hameed    
The analysis of individuals? movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and communication technologies have ... ver más

 
Hongzan Jiao, Faxing Yang, Shasha Xu and Shibiao Huang    
Urban logistics is important to a city?s sustainable growth and development. With the increase in population and the economic growth in urban areas, the issue of congestion and the negative influence of transport of goods on people and the environment is... ver más

 
Xiaolong Li, Yun Zhang, Longgang Xiang and Tao Wu    
Lane-level road information is especially crucial now that high-precision navigation maps are in more demand. Road information may be obtained rapidly and affordably by mining floating vehicle data (FCD). A method is proposed to extract the number of lan... ver más

 
Jingxue Wang, Xiao Dong and Guangwei Liu    
The accuracy of point cloud processing results is greatly dependent on the determination of the voxel size and shape during the point cloud voxelization process. Previous studies predominantly set voxel sizes based on point cloud density or the size of g... ver más

 
Karima Khettabi, Zineddine Kouahla, Brahim Farou, Hamid Seridi and Mohamed Amine Ferrag    
Internet of Things (IoT) systems include many smart devices that continuously generate massive spatio-temporal data, which can be difficult to process. These continuous data streams need to be stored smartly so that query searches are efficient. In this ... ver más