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Augusto Montisci and Maria Cristina Porcu
The proposed method is a neural-network-based tool for the early warning of ground settlement hazard in urban areas. On the basis of the analysis of MT-InSAR data through an unsupervised learning, the method can find precursors of similar time-evolving p...
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Honeyeh Kazemi, Ali Ashraf Sadraddini, Amir Hossein Nazemi and Charles A Sanchez
Despite increasing use of pressurized irrigation methods, most irrigation projects worldwide still involve surface systems. Accurate estimation of the amount of infiltrating water and its spatial distribution in the soil is of great importance in the des...
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Mattia D?Emidio
Computing shortest-path distances is a fundamental primitive in the context of graph data mining, since this kind of information is essential in a broad range of prominent applications, which include social network analysis, data routing, web search opti...
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