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Using different proxies to predict hantavirus disease risk in São Paulo state, Brazil
(2017-01-01)
Recent studies predict disease risk using different proxies, such as pathogen prevalence in hosts, abundance of the main hosts, and the number of reported disease cases. These proxies are used to build risk maps that can ...
Ab initio and template-based prediction of multi-class distance maps by two-dimensional recursive neural networks
(2009)
Background: Prediction of protein structures from their sequences is still one of the open grand challenges of computational biology. Some approaches to protein structure prediction, especially ab initio ones, rely to some ...
Aplicação de componentes principais e regressões logísticas múltiplas em sistema de informações geográficas para a predição e o mapeamento digital de solos
(Universidade Federal de Santa MariaBRAgronomiaUFSMPrograma de Pós-Graduação em Ciência do Solo, 2008-10-31)
Social demands on soil information have grown dramatically, meanwhile the soil surveys are seldom carried out in the country. Digital soil mapping techniques
can be applied to infer the spatial distribution of soil from ...
EM-based statistical analysis and yield estimation using linear-input and neural-output space mapping
(IEEE MTT-S International Microwave Symposium, 2013)
Digital soil mapping and GlobalSoilMap. Main advances and ways forward
(Elsevier, 2020)
In this concluding paper, we summarize the main advances coming forward from the joint conference of the International Union of Soil Sciences (IUSS) Working Groups (WG) "Digital Soil mapping" (DSM) and "GlobalSoilMap". We ...
Local dimension and finite time prediction in coupled map lattices
(2005-03-01)
Forecasting, for obvious reasons, often become the most important goal to be achieved. For spatially extended systems (e.g. atmospheric system) where the local nonlinearities lead to the most unpredictable chaotic evolution, ...
Local dimension and finite time prediction in coupled map lattices
(2005-03-01)
Forecasting, for obvious reasons, often become the most important goal to be achieved. For spatially extended systems (e.g. atmospheric system) where the local nonlinearities lead to the most unpredictable chaotic evolution, ...