Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yilang Wu"'
Publikováno v:
IEEE Transactions on Big Data. 9:1-21
Publikováno v:
International Symposium on Affective Science and Engineering. :1-4
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 30:1826-1842
Spatial big data analysis is very important in disaster scenarios to understand distribution patterns of situations, e.g., people's movements, people's requirements, resource shortage situations, and so on. In a general case, spatial big data is gene
Publikováno v:
Displays. 73:102141
Publikováno v:
International Journal of Machine Learning and Cybernetics. 10:59-74
As project development gets more intensive, there are increasing needs of development support by reusing shared knowledge objects, such as technical know–how and project achievements, which grow along with developers’ activities through multiple
Publikováno v:
Procedia Computer Science. 111:485-492
Understanding the situation distribution is a fundamental but important step in the emergency response to disaster. There are various emergency related spatial data available on Internet; however, it is still a big challenge in clustering the dynamic
Publikováno v:
CCNC
Spatial clustering of the events scattered over a geographical region has many important applications, including the assessment of needs of the people affected by a disaster. In this paper we consider spatial clustering of social media data (e.g., tw
Publikováno v:
New Frontiers in Artificial Intelligence ISBN: 9783030316044
JSAI-isAI Workshops
JSAI-isAI Workshops
Since the empathic processes are essential to the aesthetic experience, the empathy-enabling technology for behavioral sensing is gaining its popularity to support the study of anonymized viewers’ cognition in art appreciation. Because such behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4228c13d352bf9f8b705cc852e252d
https://doi.org/10.1007/978-3-030-31605-1_7
https://doi.org/10.1007/978-3-030-31605-1_7
Autor:
Shashank Shrestha, Yilang Wu, Wanming Chu, Manoj Poudel, Thomas Kupfer, Subhash Bhalla, Shrinivas R. Kulkarni
Publikováno v:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare ISBN: 9783030141769
Poly/DMAH@VLDB
Poly/DMAH@VLDB
Recent developments in time-domain astronomy use a large amount of data for gaining domain-specific information. The ever increasing data size and different data models require the development of new ideas to manage such data. The data type varies fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::921db4f1fb99c6c36735ddff9b5e3d62
https://doi.org/10.1007/978-3-030-14177-6_7
https://doi.org/10.1007/978-3-030-14177-6_7
Publikováno v:
IEEE Communications Surveys & Tutorials. 18:1758-1778
Disaster management is a crucial and urgent research issue. Emergency communication networks (ECNs) provide fundamental functions for disaster management, because communication service is generally unavailable due to large-scale damage and restrictio