Bias Correction of Satellite-Based Precipitation Using Convolutional Neural Network
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The used output data are minimum DNBR values in a reactor core in a lot of operating conditions and the input data are reactor power, core inlet
The materials used for this research are the average temperature, maximum temperature, minimum temperature, precipitation, humidity, and sunshine duration in Honam
Motivation – Learning noisy labeled data with deep neural network.
→ making it possible to store spatial data w/ their associated attribute data in a single DB advantages (compare to geo-relational model). take full advantage of
We have implemented and developed a virtual angioscopy system based on the proposed methods, and tested it using several actual data sets of human blood
The feed is commonly a solution in a solvent like ethanol or t-butanol, and the nonsolvent is water..
A Study on the Power Metering Data Missing Correction Model Based on Deep Learning..
The minimum distance from production well is used as spatial information of well to avoid a complexity of neural network and the reservoir properties are used as combined
