Zobrazeno 1 - 10
of 598
pro vyhledávání: '"PHYSICAL CONSTRAINTS"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104290- (2024)
Surface soil moisture (SM) plays an important role in water and energy cycles. Passive microwave remote sensing observation has become the main means of obtaining large-scale surface SM. Due to its low spatial resolution, the spatial downscaling is r
Externí odkaz:
https://doaj.org/article/8dafc3719679479aaf8b47d408d5ff35
Publikováno v:
Liquids, Vol 4, Iss 1, Pp 261-277 (2024)
A computational model that can accurately describe the thermodynamics of a hydrocarbon system and its properties under various conditions is a prerequisite for running reservoir and pipeline simulations. Cubic Equations of State (EoS) are mathematica
Externí odkaz:
https://doaj.org/article/60a033414eff4b76a8c64f25187c5e0d
Autor:
Xiang Li, Feihu Xue, Jianli Ding, Tongren Xu, Lisheng Song, Zijie Pang, Jinjie Wang, Ziwei Xu, Yanfei Ma, Zheng Lu, Dongxing Wu, Jiaxing Wei, Xinlei He, Yuan Zhang
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2143 (2024)
Accurate estimation of surface evapotranspiration (ET) in the Heihe River Basin using remote sensing data is crucial for understanding water dynamics in arid regions. In this paper, by coupling physical constraints and machine learning for hybrid mod
Externí odkaz:
https://doaj.org/article/bc1a688edb384f4f9f8c287a5815b64a
Publikováno v:
Actuators, Vol 13, Iss 5, p 181 (2024)
The visual servoing of manipulators is challenged by two main problems: the singularity of the inverse Jacobian and the physical constraints of a manipulator. In order to overcome the singularity issue, this paper presents a novel approach for image-
Externí odkaz:
https://doaj.org/article/0a90cfcf91b9465d9ead4879d44e9b4f
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
In the field of underwater acoustic field prediction, numerical simulation methods and machine learning techniques are two commonly used methods. However, the numerical simulation method requires grid division. The machine learning method can only so
Externí odkaz:
https://doaj.org/article/fd64d4b3c73344049b880517b0347a02
Autor:
Tao Peng, Jiewen Kuang, Jinxing Liang, Xinrong Hu, Jiazhe Miao, Ping Zhu, Lijun Li, Feng Yu, Minghua Jiang
Publikováno v:
Graphical Models, Vol 129, Iss , Pp 101197- (2023)
The goal of digital dress body animation is to produce the most realistic dress body animation possible. Although a method based on the same topology as the body can produce realistic results, it can only be applied to garments with the same topology
Externí odkaz:
https://doaj.org/article/c804dac07c2447a49d31506b8d26864f
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 13, Pp n/a-n/a (2023)
Abstract Global surface snowfall rate estimation is crucial for hydrological and meteorological applications but is still a challenging task. A novel approach is developed to comprehensively use passive microwave, infrared data and physical constrain
Externí odkaz:
https://doaj.org/article/93131a7af5b94813ab1e56b2cbbdbfa2
Akademický článek
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Akademický článek
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