Meteorological satellites are usually operated at high temporal resolutions, but the spatial resolutions too poor to identify ground content. Super-resolution is an economic way enhance details, feasibility not validated for meteorological images due absence of benchmarking data. In this work, we propose FY4ASRgray and FY4ASRcolor datasets assess super-resolution algorithms on applications. The...

Different InSAR algorithms and methods produce velocities times series that are not identical, even using the same data for area. This inconsistency can cause confusion be a barrier to uptake widespread use of in commercial sector. With availability Sentinel-1 SAR suite new academic sectors, it is timely develop method comparison different results. In this study, we focus on developing testing ...

traffic accidents are one of the most important challenges  of public hygiene that needs global attention and effort. the recent research was conducted in order to determine the crash trend and develop the accident prediction model that leads to death in ilam from 2010 to 2014. the recent study based on descriptive analysis was performed by using the  statistical data related to death caused by...

Health care is one of the most exciting frontiers in data mining and machine learning. Successful adoption of electronic health records (EHRs) created an explosion in digital clinical data available for analysis, but progress in machine learning for healthcare research has been di cult to measure because of the absence of publicly available benchmark data sets. To address this problem, we propo...

Bring home now the book enPDFd benchmarking temporal distribution and reconciliation methods for time series benchmarking temporal distribution and reconciliation methods for time series to be your sources when going to read. It can be your new collection to not only display in your racks but also be the one that can help you fining the best sources. As in common, book is the window to get in t...