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The use of Process Analytical Technologies (PATs) recommended by the Food and Drug Administration (FDA) has significantly increased during the past years in the design, control and monitoring of pharmaceutical or chemical manufacturing processes [1]. Nowad ...
This paper discusses the use of simple good sense in the spatial prediction of rainfall measurements in Switzerland. The method consists of a forecast based on the values of the available observations combined with topographic knowledge of the Swiss territ ...
This paper presents a score that can be used for evaluating probabilistic forecasts of multicategory events. The score is a reinterpretation of the logarithmic score or ignorance score, now formulated as the relative entropy or Kullback–Leibler divergence ...
Demand forecasting consists of using data of the past demand to obtain an approximation of the future demand. Mathematical approaches can lead to reliable forecasts in deterministic context through extrapolating regular patterns in time-series. However, un ...
Demand forecasting consists of using data of the past demand to obtain an approximation of the future demand. Mathematical approaches can lead to reliable forecasts in deterministic context, extrapolating regular patterns in series. However unpredictable e ...
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Determining safe aircraft trajectories that avoid hazardous weather regions and other aircraft while efficiently using the available airspace is an important problem. Although tactical weather forecast maps have been available, their use in automated aircr ...
It could be demonstrated, that this novel surveillance system integrating airborne traffic surveillance with traditional ground detection of traffic flow can yield valuable information needed for a better management of big events. The combination with a si ...
Polynomial autoregressions have been most of the time discarded as being unrealistic. Indeed, for such processes to be stationary, strong assumptions on the parameters and on the noise are necessary. For example, the distribution of the latter has to have ...
The development of a hydrological forecasting model is conditioned by the available data collected in the entire hydrological catchment for which discharge has to be predicted. The forecast quality not only depends on the available historical data but also ...
When using random utility models for a route choice problem, a critical issue is the significant correlation among alternatives. There are basically two types of models proposed in the literature to address it: (i) a deterministic correction of the path ut ...
