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Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City from books.google.com
The lattice-preferred orientation (LPO) of minerals is important for interpreting seismic anisotropy, which occurs in the Earth's crust and mantle, and for understanding the internal structure of the deep interior of the Earth.
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City from books.google.com
Organized into five sections, this book: Focuses on data, sensors, and systems considerations as well as algorithms for urban feature extraction Analyzes urban landscapes in terms of composition and structure, especially using sub-pixel ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City from books.google.com
Provides specific and unique examples of PolSAR images derived from actual space and airborne systems (ALOS/ALOS2, PiSAR-x/L) Covers the wide range of the radar polarimetry, especially the decomposition of the polarimetry data, an original ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City from books.google.com
This book provides readers with a solid understanding of the capabilities and limitations of the techniques used for buried object detection.
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City from books.google.com
This workshop report examines the capability of the forecast system to efficiently transfer weather and climate research findings into improved operational forecast capabilities.
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City from books.google.com
Figures. This is a print on demand report.