Prediction of Extremely Severe Cyclonic Storm “Fani” Using Moving Nested Domain

Real-Time Spatial Queries for Moving Objects Using Storm Topology

With the rapid development of mobile data acquisition technology, the volume of available spatial data is growing at an increasingly fast pace. The real-time processing of big spatial data has become a research frontier in the field of Geographic Information Systems (GIS). To cope with these highly dynamic data, we aim to reduce the time complexity of data updating by modifying the traditional ...

Prediction of dispersed mineralization zone in depth using frequency domain of surface geochemical data

Discrimination of the blind and dispersed mineralization deposits is a challenging problem in geochemical exploration. The frequency domain (FD) of the surface geochemical data can solve this important issue. This new exploratory information can be achieved using the interpretation of FD of geochemical data, which is impossible in spatial domain. In this research work, FD of the surface geochem...

Prediction of magnetic storm events using the Dst index

This paper provides a method to predict magnetic storm events based on the time series of the Dst index over the period 1981–2002. This method is based on the multiple scaling of the measure representation of the Dst time series. This measure is modeled as a recurrent iterated function system, which leads to a method to predict storm patterns included in its attractor. Numerical results are pro...

Storm Surge Prediction for Louisiana Coast Using Artificial Neural Networks

Biological function integrated prediction of severe radiographic progression in rheumatoid arthritis: a nested case control study

BACKGROUND Radiographic progression is reported to be highly heritable in rheumatoid arthritis (RA). However, previous study using genetic loci showed an insufficient accuracy of prediction for radiographic progression. The aim of this study is to identify a biologically relevant prediction model of radiographic progression in patients with RA using a genome-wide association study (GWAS) combin...