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For example, we used our approach to forecast the successes and risks of a large space project.
This paper presents functional networks as a novel approach to forecast permeability using well logs in a carbonate reservoir.
This work proposes a multi-scale relevance vector regression (MSRVR) approach to forecast daily urban water demand.
As an alternative, we embedded effects of debris-flow growth into an empirical/statistical approach to forecast potential inundation areas within digital landscapes in a GIS framework.
A new neural approach to forecast cumulative oil production using higher-order neural network (HONN) has been applied in this study.
This paper develops and investigates an ensemble learning based multistage intelligent approach to forecast 5 days global horizontal radiation at four given locations of India.
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Maleki et al. [25] take an ANN-based approach to forecasting solar radiation, wind speed, and temperature in optimizing the operations of a hybrid solar- and wind-powered water-desalination system.
We construct the network of transnational terrorist attacks, in which source (sender) and target (receiver) countries share a directed edge, and we evaluate a network analytic approach to forecasting the geopolitical sources and targets of terrorism.
Using a database of over 12,000 transnational terrorist attacks occurring between 1968 and 2002, we show that probabilistic link prediction is not only capable of accurate forecasting during a terrorist campaign, but is a promising approach to forecasting the onset of terrorist hostilities between a source and a target.
Thus, to come up with more reliable forecasts for financial requirements associated with new vaccine introduction, more research is needed to improve the quality of coverage data and to conceptualize an approach to forecasting future uptake rate more realistically.
A significant relationship between these two forms of feedback would allow physicians/hospitals to take a more proactive approach to forecasting their patient performance by examining performance with coworkers.
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