Zobrazeno 1 - 10
of 505
pro vyhledávání: '"Spatiotemporal prediction"'
Autor:
Mohammad Rezasefat, James D. Hogan
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
Additive manufacturing offers a solution for producing advanced ceramics with complex geometries by enabling precise control over geometry, microstructure, and composition. By leveraging deep learning, rapid prototyping and evaluation of printed cera
Externí odkaz:
https://doaj.org/article/21757c064fb14ba49654ae5a3a2f00e1
Publikováno v:
PeerJ, Vol 12, p e18586 (2024)
Background The alpine wetlands in western Sichuan are distributed along the eastern section of the Qinghai-Tibet Plateau (QTP), where the ecological environment is fragile and highly sensitive to global climate change. These wetlands are already expe
Externí odkaz:
https://doaj.org/article/a56365d3de294ab1851303479488a541
Publikováno v:
智能科学与技术学报, Vol 6, Pp 253-261 (2024)
The concentration of nitrogen dioxide (NO2) in the air significantly affects environmental protection and public health. Current methods for NO2 concentration prediction lack sufficient characterization of spatiotemporal correlations. Therefore, this
Externí odkaz:
https://doaj.org/article/606f2ac38796487eb18ea4072528acfc
Autor:
Sun, Zhao, Wang, Yongxian ⁎
Publikováno v:
In Environmental Modelling and Software January 2025 183
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The global energy demand is increasing due to climate changes and carbon usages. Accumulating evidences showed energy sources using offshore wind from the sea can be added to increase our consumption capacity in long term. In addition, building offsh
Externí odkaz:
https://doaj.org/article/c9c2e76e1af441c2bbaed3e964f12eb1
Publikováno v:
Advances in Climate Change Research, Vol 15, Iss 2, Pp 211-221 (2024)
Reliable monitoring and thorough spatiotemporal prediction of meteorological drought are crucial for early warning and decision-making regarding drought-related disasters. The utilisation of multiscale methods is effective for a comprehensive evaluat
Externí odkaz:
https://doaj.org/article/0f9a532e2739475db5ba63fe4c7cf61f
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4227 (2024)
Given the significant spatial non-uniformity of marine evaporation ducts, accurately predicting the regional distribution of evaporation duct height (EDH) is crucial for ensuring the stable operation of radio systems. While machine-learning-based EDH
Externí odkaz:
https://doaj.org/article/79754c6dd3ef48d3978c6a0d3a4f01c8
Publikováno v:
Frontiers in Mechanical Engineering, Vol 10 (2024)
Graph neural networks (GNNs) have gained significant attention in diverse domains, ranging from urban planning to pandemic management. Ensuring both accuracy and robustness in GNNs remains a challenge due to insufficient quality data that contains su
Externí odkaz:
https://doaj.org/article/e30db3d7907e4c898c76fd00458aee24
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Traditional load prediction methods are unable to effectively predict the loads according to the spatial topology of each electricity consumer in neighboring areas and the load dependency correlations. In order to further improve the load prediction
Externí odkaz:
https://doaj.org/article/0fd8b740cbee4e80b30a51a5adb83255
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10827-10841 (2024)
Fire radiative power (FRP) is a key indicator for evaluating the intensity of wildfires, unlike traditional real-time fire lines or combustion areas that only provide binary information, and its accurate prediction is more important for firefighting
Externí odkaz:
https://doaj.org/article/84020b808659478eb65b1f2742162124