Model re-parameterization is the practice of merging multiple computational models at the inference stage to accelerate inference time. In YOLOv7, the technique“Extended efficient layer aggregation networks”or E-ELAN is used to perform this feat. E-ELANimplements expand, shuffle, and merge cardinal...
Parameterization of mean boundary layer flow over two contrasting types of terrain for unstable (day) and stable (night) atmospheric conditions is developed and incorporated in a Lagrangian trajectory puff model. Boundary layer observations, classified and analyzed through the method of least squares, ...
Model re-parameterization is the practice of merging multiple computational models at the inference stage to accelerate inference time. In YOLOv7, the technique“Extended efficient layer aggregation networks”or E-ELAN is used to perform this feat. E-ELANimplements expand, shuffle, and merge cardinal...
You want to explore different analytical scenarios by changing model parameter values. For example, your organization is in the retail sector, and you want to be able to calculate drive-times to your stores based on traffic conditions at different times during the day. To do so, you insert a...
Our results suggest that LULC effects need to be better incorporated into the conceptualization and parameterization of infiltration and percolation in hydrologic models to obtain realistic predictions concerning water quality and quantity.doi:10.2136/vzj2009.0089S. Bachmair...
The PUCs provide a generic representation of consumer products for use in exposure assessment and provide an efficient framework for flexible and rapid data reporting and consumer exposure model parameterization.doi:10.1038/s41370-019-0187-5Kristin K. Isaacs...
A set of widely used algorithms, e.g., point cloud normal estimation/re-orientation, Poisson surface reconstruction, RANSAC, mesh simplification, subdivision, smoothing, parameterization, remeshing, and more (the implementation of several surface mesh processing algorithms were taken fromPMP). ...
2.2. Sensitivity simulations and model validation of WRF Previous studies for the Indian region indicated that the performance of the WRF model is strongly dependent on the parameterization scheme adapted for the simulation (Gunwani and Mohan, 2017; Gunwani et al., 2021). Thus, prior to using ...
Dessel W V, Rompaey A V, Szilassi P.Sensitivity analysis of logistic regression parameterization for land use and land cover probability estimation.International Journal of Geographical Information Science,2011,25(3): 489 -508 Google Scholar
2 Conceptual diagram showing the data sources used for model parameterization. Dashed arrows denote flows entering the system (carbon uptake) and flows leaving the system (respiration losses). Solid arrows are internal flows transferring energy from one ecosystem compartment to another via feeding (...