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Akram Seifi, Soudabeh Golestani Kermani, Amir Mosavi and Fatemeh Soroush
Quantitatively analyzing models? uncertainty is essential for agricultural models due to the effect of inputs parameters and processes on increasing models? uncertainties. The main aim of the current study was to explore the influence of input parameter ...
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Chrysostomos Symvoulidis, George Marinos, Athanasios Kiourtis, Argyro Mavrogiorgou and Dimosthenis Kyriazis
Over the past few years, increasing attention has been given to the health sector and the integration of new technologies into it. Cloud computing and storage clouds have become essentially state of the art solutions for other major areas and have starte...
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Dariusz Gosciewski and Malgorzata Gerus-Gosciewska
A regular network of squares is formed by points uniformly distributed (mostly in the square corners) over the surface that is represented by the network. Each point (node) of the network has specified coordinates (X and Y) with a fixed constant distance...
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Jianzhuo Yan, Ya Gao, Yongchuan Yu, Hongxia Xu and Zongbao Xu
Recently, the quality of fresh water resources is threatened by numerous pollutants. Prediction of water quality is an important tool for controlling and reducing water pollution. By employing superior big data processing ability of deep learning it is p...
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Patricia Jimeno-Sáez, Javier Senent-Aparicio, Julio Pérez-Sánchez, David Pulido-Velazquez, José María Cecilia
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The design of hydraulic structures and flood risk management is often based on instantaneous peak flow (IPF). However, available flow time series with high temporal resolution are scarce and of limited length. A correct estimation of the IPF is crucial t...
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