- A multi|scale qualitative approach to assess the impact of ...🔍
- A multi|scale🔍
- A multi|step machine learning approach to assess the impact of ...🔍
- The Multiscale Approach🔍
- A multi|scale and multi|model gridded framework for forecasting ...🔍
- Multi|model approach in a variable spatial framework for streamflow ...🔍
- A multi|approach and multi|scale platform to model CD4+ T cells ...🔍
- A multi|analysis approach for estimating regional health impacts ...🔍
A Multi|Model Multi|Scale Approach to Estimate the Impact of ...
A multi-scale qualitative approach to assess the impact of ...
The perspective of the methodology is multiple scale and species-oriented, and provides both qualitative and quantitative definitions of impact significance. A ...
A multi-scale, multi-model approach for analyzing the future ...
The high spatial and thematic resolution of the results allows the assessment of impacts of these changes on different environmental indicators, ...
A multi-step machine learning approach to assess the impact of ...
Finally, the output from each single tree is averaged to obtain a final prediction: the RF model does not overfit because it joins independent ...
The Multiscale Approach - Millennium Ecosystem Assessment
The Western China assessment used coarse-scale and very fine-scale information to model an intermediate scale. ... Local Knowledge and Global Science in Multi- ...
(PDF) A multi-scale, multi-model approach for analyzing the future ...
This paper describes a methodology in which a series of models has been used to link global level developments influencing land use to local level impacts. It ...
A multi-scale and multi-model gridded framework for forecasting ...
One of the main approaches for spatial crop simulations (Müller et al., 2017) is based on field scale crop models and various degree of GIS integration ( ...
Multi-model approach in a variable spatial framework for streamflow ...
Various approaches aim to improve models by taking uncertainties into account, among which are multi-model approaches, which are the main topic ...
A multi-approach and multi-scale platform to model CD4+ T cells ...
Modularity also permits reusability of existing models; new versions of intracellular models, using similar or different modeling approaches, ...
A multi-analysis approach for estimating regional health impacts ...
(2011) com- pared three measures of forest fire smoke exposure – air quality monitors, a dispersion model, and plumes in satellite images – and examined the ...
A multiscale approach for biomedical machine learning - Nature
As Steyaert et al. discussed in a Perspective last year, combining diverse, multi-modal data that span space and time can overcome the ...
A multi-model ensemble approach for the assessment of climatic ...
To quantify the uncertain impacts of climate variations and anthropogenic activities on Ajichay River flow in Iran, a multi-model ensemble approach based on the ...
A multi-attribute approach to evaluating the impact of biostimulants ...
Second, we modeled a set of integrated indicators to measure crop responses to biostimulant application, including five analytical themes as ...
Staff Publications - WUR Library
A multi-scale, multi-model approach for analyzing the future dynamics of European land use ... climate-change - socioeconomic scenarios - landscapes - impacts - ...
Multi-model approach to quantify groundwater-level prediction ...
CHM uncertainty contributed about 23 % of total uncertainty. The alternative CHM uncertainty contribution is higher than the recharge scenario uncertainty ...
Multi-scale Modeling in Clinical Oncology - PubMed Central
Large-scale network models have also been widely applied to predict the functional effects of various therapeutics. These two approaches have been integrated to ...
Deducing Multidecadal Anthropogenic Global Warming Trends ...
A Multi-Model Multi-Scale Approach to Estimate the Impact of the 2007 Large-Scale Forest Fires in Peloponnese, Greece. Language: English; Authors: Batelis ...
A multi-analysis approach for estimating regional health impacts ...
Therefore, we simulated air quality conditions using a suite of remotely-sensed data, surface observational data, chemical transport modeling with WRF-CMAQ, one ...
A multi-method approach to modeling COVID-19 disease dynamics ...
We used a simulation-based “optimization” method to calibrate selected model parameters by estimating their values and plausible ranges such ...
A Multi-Scale Spatial Difference Approach to Estimating Topography ...
Our method uses the idea of multi-scale spatial differences to decompose the atmospheric phase delay into the vertical stratification component, ...
Multi‐scale occupancy estimation and modelling using multiple ...
The modelling approach presented here makes efficient use of detections from multiple methods to estimate occupancy probabilities at two spatial ...