Results 21 to 30 of about 24,570,387 (263)
Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration
Coastal dunes are important morphological features for both ecosystems and coastal hazard mitigation. Because understanding and predicting dune erosion phenomena is very important, various numerical models have been developed to improve the accuracy.
Hyeok Jin +3 more
doaj +1 more source
Hydrological model calibration with uncertain discharge data
Discharge data used to calibrate and evaluate hydrological models can be highly uncertain and this uncertainty affects the conclusions that we can draw from modelling results.
I. Westerberg +4 more
semanticscholar +1 more source
A comparison of economic agent-based model calibration methods [PDF]
Interest in agent-based models of financial markets and the wider economy has increased consistently over the last few decades, in no small part due to their ability to reproduce a number of empirically-observed stylised facts that are not easily ...
D. Platt
semanticscholar +1 more source
Satellite-Based Evapotranspiration in Hydrological Model Calibration
Hydrological models are usually calibrated against observed streamflow (Qobs), which is not applicable for ungauged river basins. A few studies have exploited remotely sensed evapotranspiration (ETRS) for model calibration but their effectiveness on ...
Lulu Jiang +5 more
semanticscholar +1 more source
A Real-time Traffic Signal Control Strategy Under Partially Connected Vehicle Environment
The performance of a traffic system tends to improve as the percentage of connected vehicles (CV) in total flow increases. However, due to low CV penetration in the current vehicle market, improving the traffic signal operation remains a challenging task.
Kancharla Kamal Keerthi Chandan +2 more
doaj +1 more source
Regionalizing crop types to enhance global ecosystem modeling of maize production
Improving the prediction of crop production is critical for strategy development associated with global food security, particularly as the climate continues to change.
Yi Yang +5 more
doaj +1 more source
Modeling and Simulation of a Packed Column Batch Still for Fruit Wine Distillations
Batch distillations are extensively used worldwide to produce fruit wine spirits with distinctive aromas. These processes are typically operated manually, based on the experience of the distiller.
Simon Diaz-Quezada +2 more
doaj +1 more source
A neural network-based framework for financial model calibration [PDF]
A data-driven approach called CaNN (Calibration Neural Network) is proposed to calibrate financial asset price models using an Artificial Neural Network (ANN).
Shuaiqiang Liu +3 more
semanticscholar +1 more source
Making virtual species less virtual by reverse engineering of spatiotemporal ecological models
The virtual species (VS) and virtual ecologist (VE) approaches are useful tools that allow testing different methodological aspects of species distribution modelling.
Katarzyna Malinowska +2 more
doaj +1 more source
This paper investigates the impact of vehicular trajectory completeness on car-following (CF) model calibration and validation. Synthetic data with different levels of trajectory completeness, i.e., different number of driving regimes, generated from ...
Anshuman Sharma, Zuduo Zheng, A. Bhaskar
semanticscholar +1 more source

