Exploring the raison d'etre behind metric selection in network analysis: a systematic review
Network analysis is a useful tool to analyse the interactions and structure of graphs that
represent the relationships among entities, such as sectors within an urban system …
represent the relationships among entities, such as sectors within an urban system …
[HTML][HTML] A convolutional recurrent neural network for strong convective rainfall nowcasting using weather radar data in Southeastern Brazil
AN Caseri, LBL Santos, S Stephany - Artificial Intelligence in Geosciences, 2022 - Elsevier
Strong convective systems and the associated heavy rainfall events can trig-ger floods and
landslides with severe detrimental consequences. These events have a high spatio …
landslides with severe detrimental consequences. These events have a high spatio …
Flood risk map from hydrological and mobility data: A case study in São Paulo (Brazil)
Cities increasingly face flood risk primarily due to extensive changes of the natural land
cover to built‐up areas with impervious surfaces. In urban areas, flood impacts come mainly …
cover to built‐up areas with impervious surfaces. In urban areas, flood impacts come mainly …
[PDF][PDF] Exploring the raison d'etre behind metric selection in network analysis: a systematic
Network analysis is a useful tool to analyse the interactions and structure of graphs that
represent the relationships among entities, such as sectors within an urban system …
represent the relationships among entities, such as sectors within an urban system …
Global-threshold and backbone high-resolution weather radar networks are significantly complementary in a watershed
There are several criteria for building up networks from time series related to different points
in geographical space. The most used criterion is the Global-Threshold (GT). Using a …
in geographical space. The most used criterion is the Global-Threshold (GT). Using a …
Precipitation event-based networks: an analysis of the relations between network metrics and meteorological properties
The study of complex systems in nature is essential to understand the interactions between
different elements and how they influence one another. Complex network theory is a …
different elements and how they influence one another. Complex network theory is a …
TSAPI: uma aplicação distribuída para comparação de séries temporais.
VP Silva - 2022 - monografias.ufop.br
Esta mongorafia apresenta uma aplicação para comparação de séries temporais. Uma vez
capturados, os dados de séries temporais podem ser comparados para verificar …
capturados, os dados de séries temporais podem ser comparados para verificar …
Analysis of Rainfall Networks Generated from Different Similarity Measures
IS Diniz, LBL Santos… - … Series of the …, 2022 - proceedings.sbmac.emnuvens.com …
Network science allows the investigation of several complex systems. From a set of nodes
(vertices) and links (edges), it is possible to abstract the characteristics of these systems and …
(vertices) and links (edges), it is possible to abstract the characteristics of these systems and …
[PDF][PDF] Artificial Intelligence in Geosciences
AN Caseri, LBL Santos, S Stephany - researchgate.net
Strong convective systems and the associated heavy rainfall events can trig-ger floods and
landslides with severe detrimental consequences. These events have a high spatio …
landslides with severe detrimental consequences. These events have a high spatio …