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The embedded electronic medical record (EMR) information is analysed through a neural network algorithm in the field of deep learning to mine the main sentence of EMR text. The pure convolutional neural network model (PCNN) based on pooled and non‐pooled analysis is constructed based on deep learning CNN to mine EMR text. An association classification algorithm based on neural network is proposed,...
Hyperspectral and LiDAR data, can provide plentiful information about the objects on the Earths surface. However there are some shortages for each of them, where hyperspectral sensor is easily influenced by cloud and difficult to distinguish different objects contained same materials, LiDAR cannot discriminate different objects which are similar in altitude. Fusion of these multi-source data for reliable...
In this paper we describe a framework of GIS-based system for automated processing of mass remote sensing and geospatial data products as a step in preparation of data for the needs of end users. In particular we employed the GDAL data model and python and GDAL Library to convert HDF5 format data into standard GIS format. We then batch processed all the data to a targeted data type using python coding...
DNA computing has been applied in broad fields such as graph theory, finite state problems, and combinatorial problem. DNA computing approaches are more suitable used to solve many combinatorial problems because of the vast parallelism and high-density storage. The CLIQUE algorithm is one of the gird-based clustering techniques for spatial data. It is the combinatorial problem of the density cells...
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