Sentence examples for processes forecasting from inspiring English sources

In the initial years, the results of these future-oriented research processes (forecasting, foresight, etc). of the think tanks were mostly considered as military or trade secrets and therefore published very rarely.

To interpret the meaning of the analysed data, complex linguistic algorithms must be used, based on which it is possible to find the core information elements for business processes forecasting and economical knowledge management.

To consider the transmission constraints during the scheduling process, forecast is required to be performed for each single wind farm as well as the whole region.

The sequence of states in this Markov process is said to be a Markov chain {M n } at time t n, since this process forecast the future behaviour M n + 1 depending only on the present state M n and not on the past behaviour M n − 1, M n − 2,…, M 0. In this model, the nodes are categorized into three states viz., cooperative, selfish and failed.

Downloadable presentations from the consultation are publicly available at http://www.unicef.org/supply/index_81679.html and give an overview of UNICEF's engagement in SIE procurement, the proposed strategy and tender process, forecast quantities, international transport and Technical and Quality requirements and changes from prior procurement rounds and product innovation.

New, data-driven, front-office applications that are process-oriented: forecasting, support, etc.

The simultaneous integration of the three processes has forecasted the additional profit of 177 kEUR/a.

The impact of climate on tree growth and decomposition processes in FORECAST Climate is focused primarily on their relationship to temperature and water availability.

Owing to the stochastic nature of the process, the forecasting accuracy of the target wind farm changes with the varying situations.

Secondly, it identifies which areas need further research for the purpose of using BIM in heritage science processes: monitoring, forecasts and preventive conservation.

This is possibly because strongly correlated fields will introduce strong correlations in transformed dataset (as we have already explained about the WEKA data transformation process for forecasting [38]).