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Researchers use artificial intelligence to unlock extreme weather mysteries
extreme weather machine algorithm forecasting weather change
2021/8/11
A new machine learning approach helps scientists understand why extreme precipitation days in the Midwest are becoming more frequent. It could also help scientists better predict how these and other e...
Are artificial satellites orbits influenced by an expanding Earth?
orbit perturbations expanding Earth
2015/9/7
Albeit in the past great theoretical and experimental efforts were made in proposing and searching for G time-decreasing, a major role could be played by an increase of M. A recent analysis (Scalera, ...
The morphodynamic responses of artificial embayed beaches to storm events
The morphodynamic responses artificial embayed beaches storm events
2010/9/10
The morphological changes caused by storm events in two Barcelona beaches were recorded using video monitoring techniques during the period 2001–2006. Changes in shoreline position and configuration a...
Artificial neural-network technique for precipitation nowcasting from satellite imagery
Artificial neural-network technique satellite imagery
2010/1/27
The term nowcasting reflects the need of timely and accurate predictions of risky situations related to the development of severe meteorological events. In this work the objective is the very short te...
Spatiotemporal monthly rainfall reconstruction via artificial neural network – case study:south of Brazil
Spatiotemporal monthly rainfall reconstruction artificial neural network Brazil
2010/1/26
Climatological records users, frequently, request time series for geographical locations where there is no observed meteorological attributes. Climatological conditions of the areas or points of inter...
Flood routing modelling with Artificial Neural Networks
Flood routing modelling Artificial Neural Networks
2010/1/26
For the modelling of the flood routing in the lower reaches of the Freiberger Mulde river and its tributaries the one-dimensional hydrodynamic modelling system HEC-RAS has been applied. Furthermore, t...
Earthquake-induced landslide-susceptibility mapping using an artificial neural network
Earthquake-induced landslide-susceptibility mapping artificial neural network
2009/12/29
The purpose of this study was to apply and verify landslide-susceptibility analysis techniques using an artificial neural network and a Geographic Information System (GIS) applied to Baguio City, Phil...
Landslide susceptibility assessment of SE Bartin (West Black Sea region,Turkey) by artificial neural networks
Landslide susceptibility assessment SE Bartin artificial neural networks
2009/12/29
Landslides are significant natural hazards in Turkey, second only to earthquakes with respect to economic losses and casualties. The West Black Sea region of Turkey is known as one of the most landsli...
Great landslide events in Italian artificial reservoirs
Great landslide events Italian artificial reservoirs
2009/12/29
The empirical formulations to forecast landslide generated water waves, recently defined in the framework of a research program funded by the Italian National Dam Office RID (Registro Italiano Dighe),...