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Compression Of Climate Data Through Artificial Neural Networks, Astha Puri
Compression Of Climate Data Through Artificial Neural Networks, Astha Puri
UNLV Theses, Dissertations, Professional Papers, and Capstones
Lately, there has been a tremendous increase in the number of climate monitoring
stations in various parts of the country producing abundant climate data. Among climate data parameters, humidity and temperature are the two parameters influencing hydrological and agricultural processes, weather monitoring, and having critical effect on living organisms. As more data is being generated over time, there is a strong need to develop compression methods for efficient transfer and storage of this data.
The main goal of this thesis is to perform compression of humidity and temperature
data via prediction. As these are critical components of climate, it is …