Sentence examples for modelling scheme is from inspiring English sources
An empirical (geo)statistical modelling scheme is developed to address the challenges of modelling the severity and distribution of groundwater droughts given their spatially and temporally heterogeneous nature and given typically highly irregular groundwater level observations in space and time.
A modelling scheme is presented to predict recrystallisation textures of aluminium alloys.
A hierarchical local and global intensity active surface modelling scheme is then applied to segment VOIs, followed by an alpha matting step to further refine the segmentation boundary.
In addition, a unified modelling scheme is presented for the biped dynamics incorporating the effects of various locomotion constraints due to varying feet-ground contact states, unilateral ground contact force, contact friction cone, passive dynamics associated with floating base etc. along with a practical impact velocity map on heel strike event.
The results of the modelling scheme are illustrated for three major episodes of multi-annual drought (1975-76; 1975-76; 201975-76
To do the task above, the following numerical modelling scheme was used [10, 11]: (1) The first calculation stage was based on the ММ+ molecular mechanics method; (2) The second stage was based on the semi-empirical РМ3 method.
To do the task above, the following numerical modelling scheme was used: (1) the first calculation stage was based on the MM+ molecular mechanics method; (2) the second stage was based on the semi-empirical PM3 method.
Three modelling schemes were examined, based on: (1) high-density LiDAR data (160 returns m−2), (2) Worldview-2 multispectral imagery, and (3) Worldview-2 and LiDAR in combination.
Traditionally, modelling schemes are case specific and typically attempt to preserve few statistical moments providing inadequate and potentially risky distribution approximations.
The above modelling strategy is simple yet effective.
For RGB images, the Clarifai [29] model is adopted as the baseline model, and a task-specific pre-training scheme is designed to make the global-context modelling suitable for saliency detection [27].
