Demands on the disaster response capacity of the European Union are likely to increase, as the impacts of disasters continue to grow both in size and frequency. This has resulted in intensive research on issues concerning spatially-explicit information and modelling and their multiple sources of uncertainty. Geospatial support is one of the forms of assistance frequently required by emergency r...

Due to the Covid-19 epidemic, there was a significant increase in company bankruptcies 2020. In this period, especially energy sector has been one area where are most seen. context, study aims build model that can predict financially unsuccessful companies have declared bankruptcy and successful operating U.S.A. For sample, 30 financial ratios of 23 2020 were same peri-od selected. The multiple...

The general-to-specific (GETS) approach to modelling is widely employed in the modelling of economic series, but less so in financial volatility modelling due to computational complexity when many explanatory variables are involved. This study proposes a simple way of avoiding this problem and undertakes an out-of-sample forecast evaluation of the methodology applied to the modelling of weekly ...

The general-to-specific (GETS) approach to modelling is widely employed in the modelling of economic series, but less so in financial volatility modelling due to computational complexity when many explanatory variables are involved. This study proposes a simple way of avoiding this problem and undertakes an out-of-sample forecast evaluation of the methodology applied to the modelling of weekly ...

Forecasting the water level at Venice lagoon has been object of extensive studies in the past. For example, the numerical model (MIKE 21) based on deterministic equations has been setup for the purposes of the operational water level forecast. The model includes all the fundamental modelling components necessary for use in operational mode and model has been tested against a number of historica...

LISA has unique needs that argue for an aggressive modelling effort. These models ultimately need to forecast and interrelate the behaviour of the science input, structure, optics, control systems and many other factors that affect the performance of the flight hardware. In addition, many components of these integrated models will also be used separately for the evaluation and investigation of ...

An essential requirement for a comprehensive use of hybrid data is the consideration and processing of its uncertainty. Erroneous interpretations of analyses can be avoided if uncertainty is integrated as a mandatory component, stored and considered in all operations. In this contribution, a probabilistic approach is presented for modelling geometric and thematic uncertainty. By means of a floo...

The paper is devoted to the presentation of methods of economic time series analysis and modelling using the Box-Jenkins methodology, the signal processing approach and the feedforward conventional/fuzzy neural network technique. Some results on our research on time series modelling with emphasis on potential improving forecast accuracy are presented here. The assessment of the particular model...

The analysis and forecast of elevated boundary layer ozone is of particular concern since it is known to have adverse effects on health, vegetation and material. The main contributors to the formation of photochemical smog, and high ozone levels are the emissions of Volatile Organic Compounds (VOC) and NOx. There is a complex relationship between VOC and NOx leading to ozone generation, which v...