Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Adan Wu"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThe Northeast Passage (NEP) holds immense potential as a link for maritime transport activities between Europe and Asia, primarily due to the extended sailing season resulting from global warming. However, the economic viability of the Arctic
Externí odkaz:
https://doaj.org/article/cd4c1a4d9b6c4aa08bbaed55fa755e97
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 1588-1613 (2022)
The potential of Arctic routes (ARs) has attracted global attention, and exploiting the Arctic has become an important strategy for many countries. However, there are still some challenges for ships sailing in Arctic ice zones, including harsh marine
Externí odkaz:
https://doaj.org/article/db56ffe0c1e44d9488184e671101474c
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e14231- (2023)
The ability to accurately forecast the spread of coronavirus disease 2019 (COVID-19) is of great importance to the resumption of societal normality. Existing methods of epidemic forecasting often ignore the comprehensive analysis of multiple epidemic
Externí odkaz:
https://doaj.org/article/bf5cae46a2eb4b2a8c2dba86c935fdbc
Publikováno v:
Big Earth Data, Vol 0, Iss 0, Pp 1-27 (2022)
Research on Arctic passages has mainly focused on navigation policies, sea ice extraction models, and navigation of Arctic sea routes. It is difficult to quantitatively address the specific problems encountered by ships sailing in the Arctic in real
Externí odkaz:
https://doaj.org/article/f5f11809c4164001b94125366c23f2c1
Publikováno v:
IEEE Access, Vol 8, Pp 195385-195397 (2020)
The rapid development of Internet of Things (IoT) technology and the widespread deployment of various sensors around the world have produced a large number of data streams. Thus, current computing systems face the challenge of quickly receiving and m
Externí odkaz:
https://doaj.org/article/667d6528e918486b983e0f4a3bca07da
Publikováno v:
Sensors, Vol 21, Iss 16, p 5429 (2021)
River basin cyberinfrastructure with the Internet of Things (IoT) as the core has brought watershed data science into the big data era, greatly improving data acquisition and sharing efficiency. However, challenges in analyzing, processing, and apply
Externí odkaz:
https://doaj.org/article/09ce0925870c4930aac7fcd6ef5b6b73
New Scheme for Validating Remote-Sensing Land Surface Temperature Products with Station Observations
Publikováno v:
Remote Sensing, Vol 9, Iss 12, p 1210 (2017)
Continuous land-surface temperature (LST) observations from ground-based stations are an important reference dataset for validating remote-sensing LST products. However, a lack of evaluations of the representativeness of station observations limits t
Externí odkaz:
https://doaj.org/article/9b338ccde78240e2b3babcd7af8a6d6b
Autor:
Xuejun Guo, Youhua Ran, Rui Jin, Tao Che, Xiaolei Niu, Xiaoduo Pan, Adan Wu, Min Feng, Xin Li, Xiaoli Hu, Xiaojuan Yang, Jianwen Guo
Publikováno v:
Bulletin of the American Meteorological Society. 102:E2062-E2078
The Tibetan Plateau, known as the world’s “Third Pole” due to its high altitude, is experiencing rapid, intense climate change, similar to and even far more than that occurring in the Arctic and Antarctic. Scientific data sharing is very import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad28949b806eeb17ca4d8f248864aa9
https://doi.org/10.1175/bams-d-21-0004.1
https://doi.org/10.1175/bams-d-21-0004.1
Publikováno v:
Big Earth Data, Vol 0, Iss 0, Pp 1-27 (2021)
Research on Arctic passages has mainly focused on navigation policies, sea ice extraction models, and navigation of Arctic sea routes. It is difficult to quantitatively address the specific problems encountered by ships sailing in the Arctic in real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5f0a24579273d430671caec0edf355f
https://doaj.org/article/f5f11809c4164001b94125366c23f2c1
https://doaj.org/article/f5f11809c4164001b94125366c23f2c1
Publikováno v:
IEEE journal of biomedical and health informatics. 26(6)
Despite efforts made to model and predict COVID-19 transmission, large predictive uncertainty remains. Failure to understand the dynamics of the nonlinear pandemic prediction model is an important reason. To this end, local and multiple global sensit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cd9cba4f5410148f76ff2bb69f130fa
https://pubmed.ncbi.nlm.nih.gov/35452393
https://pubmed.ncbi.nlm.nih.gov/35452393