Sentence examples for computational forecasting from inspiring English sources

Time points of understanding vary considerably within categories due to various advancements in technology, biological techniques, experimental design, data collection, statistical analyses, and computational forecasting.

We illustrate how evaluations of decision process reconstructions could potentially improve our understanding of future archival needs by simultaneously documenting, preserving and reconstructing computer-assisted decision processes, and evaluating and forecasting computational and storage requirements of the documentation and reconstruction processes over time.

With the growth of the ToxCast database, the confidence in building statistical and computational models to forecast potential chemical toxicity will increase.

We developed a computational model to forecast the prevalence of mild, moderate and severe dementia in Australia 2010-2040 [ 2].

In this direction, an intelligent computational method for election forecasting is proposed as a practical result of this research.

We present a Maple implementation of the well known global approach to time series analysis and some further developments designed to improve the computational efficiency of the forecasting capabilities of the approach.

Lagouvardos et al. [24] and Kotroni et al [25] explored the used of ensemble weather forecasting in computational grid to run different weather models, using the South Eastern Europe Grid eInfrastructure for regional eScience (SEE-GRID-SCI, http://www.see-grid-sci.eu) project.

However, due to the intensive computational requirements of ensemble forecasts, the spatial resolution remains coarse.

Therefore, computational approaches able to forecast such HLA drug molecular interactions reliably could have serious implications in preventing ADRs and thus potentially contribute to the development of precision medicine.

That indicates a high computational efficiency for wind power forecasting, which can satisfy the practical needs.

In order to answer these questions, computational models are derived using forecasting and regression analysis tools and an auction model.