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The paper is concerned with an application of the simplified impact model of critical infrastructure safety related to climate-weather change process to safety and risk prediction for port oil piping transportation system operating at the variable climate-weather conditions. There are presented the identified piping system safety parameters and the climate-weather change process parameters and characteristics...
The paper is concerned with an application of the simplified impact model of critical infrastructure safety related to climate-weather change process to safety and risk prediction for Baltic Oil Terminal Critical Infrastructure operating at the variable climate-weather conditions. There are presented the identified oil terminal safety parameters and the climate-weather change process parameters and...
We modeled in this paper the variation of wind speed as a renewable energy in Mediterranean Sea of Libya (North of Africa) using an artificial neural network (ANN). We developed multi-layer, feed-forward, back-propagation artificial neural networks for prediction monthly mean wind speed. The monthly mean wind speed data of 25 cities in Libya were monitored during the period of six years from 2010...
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