Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Weisong Hu"'
Publikováno v:
EAI Endorsed Transactions on Wireless Spectrum, Vol 1, Iss 5, Pp 1-7 (2015)
With huge amount of observed air quality and components data, it is of great challenge to analyze and trace the pollutant diffusion path. Partitioning the air pollution sources (air quality observation stations) into subnetworks will help a lot in tr
Externí odkaz:
https://doaj.org/article/740bd96d4be848d18d315d93876b0d0a
Publikováno v:
EAI Endorsed Transactions on Wireless Spectrum, Vol 1, Iss 5, Pp 1-7 (2015)
QSHINE
QSHINE
With huge amount of observed air quality and components data, it is of great challenge to analyze and trace the pollutant diffusion path. Partitioning the air pollution sources (air quality observation stations) into subnetworks will help a lot in tr
Autor:
Weilong Dai, Weisong Hu, Sheng He, Xiao-Yan Tian, Ying-Ming Pan, Hengshan Wang, Shiwen Huang, Xiaochao Huang, Xi-Lin Ouyang
Publikováno v:
Letters in Drug Design & Discovery. 12:408-416
Publikováno v:
Procedia - Social and Behavioral Sciences. 138:584-591
Logistics, especially the city logistics delivery, becomes one of the main contributors of energy consumption and environment pollution in the urban transportation system. Reasonable vehicle route planning is viewed as an important solution to lower
Publikováno v:
IC-NIDC
Atmospheric pollution is getting more and more attention because of the serious status. Finding the pollutant source is one of the key steps to solve this problem. This paper introduces a new method to trace the pollution diffusion path according to
Publikováno v:
IJCNN
Learning temporal causal structures between time series is one of key tools for analyzing time series data. Most previous works focuse on learning with static temporal causal relationships. However, in many real world applications, such as climate en
Publikováno v:
Cloud Computing and Big Data ISBN: 9783319284293
CloudCom-Asia
CloudCom-Asia
The explosion of the data in many applications brings big challenges to the traditional relational database management systems, they are in trouble with the scalability when deal with very large volume data. The cloud-based databases provide a promis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd27af4c18802c4e94dcdd577ee1d399
https://doi.org/10.1007/978-3-319-28430-9_23
https://doi.org/10.1007/978-3-319-28430-9_23
Publikováno v:
IJCNN
Deep learning has attracted a lot of attention in research and industry in recent years. Behind the success of deep learning, there is much space for improvement. It is difficult to identify if a testing sample can be represented by the deep network
Publikováno v:
Web-Age Information Management ISBN: 9783319080093
WAIM
WAIM
Research on human mobile behavior is becoming more available and important. One of the key challenges is how to divide long and continuous trajectory sequences into meaningful segments which builds a foundation for user similarity measure, trajectory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f54086020c5ffbfe7a0476c8f0485a44
https://doi.org/10.1007/978-3-319-08010-9_28
https://doi.org/10.1007/978-3-319-08010-9_28
Publikováno v:
FSKD
Location information is becoming much more important than ever before, especially in mobile services. Being widespread, less cost of energy and almost free for collecting data make mobile phone a perfect location sensor probe. Meaningful location nam