Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kaize Shi"'
Autor:
Yong Wu, Binbing Guo, Xiaoli Zhang, Hongbin Luo, Zhibo Yu, Huipeng Li, Kaize Shi, Leiguang Wang, Weiheng Xu, Guanglong Ou
Publikováno v:
Land, Vol 13, Iss 9, p 1534 (2024)
Identifying the key climate variables affecting optical saturation values (OSVs) in forest aboveground biomass (AGB) estimation using optical remote sensing is crucial for analyzing OSV changes. This can improve AGB estimation accuracy by addressing
Externí odkaz:
https://doaj.org/article/54f0e710526246a38bb8928d16e2d2a0
Autor:
Yong Wu, Guanglong Ou, Tianbao Huang, Xiaoli Zhang, Chunxiao Liu, Zhi Liu, Zhibo Yu, Hongbin Luo, Chi Lu, Kaize Shi, Leiguang Wang, Weiheng Xu
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1338 (2024)
The optical saturation problem is one of the main factors causing uncertainty in aboveground biomass (AGB) estimations using optical remote sensing data. It is critical for the improvement in AGB estimation accuracy to clarify the relationships betwe
Externí odkaz:
https://doaj.org/article/7229eba8a2274b358eb2f303eb5fca02
Publikováno v:
Geoscience Data Journal, Vol 7, Iss 1, Pp 61-79 (2020)
Abstract Crowdsourcing has significantly motivated the development of meteorological services. Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing‐driven meteorological services have evolved from a single collection
Externí odkaz:
https://doaj.org/article/21c58fccd6d24d09b4c56eb83dff4bea
Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model
Publikováno v:
Sensors, Vol 18, Iss 12, p 4093 (2018)
Social sensors perceive the real world through social media and online web services, which have the advantages of low cost and large coverage over traditional physical sensors. In intelligent transportation researches, sensing and analyzing such soci
Externí odkaz:
https://doaj.org/article/297dc7df87154705b07335e4fbf70d57
Publikováno v:
Applied Sciences, Vol 8, Iss 7, p 1193 (2018)
Traffic situation awareness and alerting assisted by adverse weather conditions contributes to improve traffic safety, disaster coping mechanisms, and route planning for government agencies, business sectors, and individual travelers. However, at the
Externí odkaz:
https://doaj.org/article/73e7b1950bcd4d3e9365f629d5d92390
Autor:
Zhendong Niu, Hao Lu, Yifan Zhu, Kaize Shi, Donglei Liu, Shanshan Wan, Qika Lin, James Chambua
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:4178-4189
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-16
Natural disasters are public emergencies characterized by suddenness, universality, and nonconventionality. Realizing the early warning, monitoring, and intervention of natural disasters and their derivative social impacts is significant for reducing
Autor:
Kaize Shi, Yifan Zhu, Weichao Gong, Hao Lu, Yisheng Lv, Juanjuan Li, Zhendong Niu, Yong Yuan, Fei-Yue Wang
Publikováno v:
IEEE Transactions on Computational Social Systems. 8:737-753
Urban transportation systems are shaped by factors that include people, vehicles, roads, and the environment, forming a complex and giant system with dynamics, diversity, and uncertainty. Physical signal-driven intelligent transportation systems (ITS
Publikováno v:
Future Generation Computer Systems. 117:181-192
University faculties generate a large amount of heterogeneous data in e-learning environments that online systems and toolkits have made widely available in all aspects of teaching and scientific researching activities. How to use the data efficientl
Publikováno v:
Neurocomputing. 415:84-95
Course recommendation systems are applied to help students with different needs select courses in a large range of course resources. However, a student’s needs are not always determined by their personal interests, they are also influenced by teach