THE IMPACT OF WIND FARMS ON THE PRICES OF NEARBY HOUSES IN POLAND: A REVIEW AND SYNTHESIS


Machine Learning-Aided Sea Ice Monitoring Using Feature Sequences Extracted from Spaceborne GNSS-Reflectometry Data

Two effective machine learning-aided sea ice monitoring methods are investigated using 42 months of spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) data collected by the TechDemoSat-1 (TDS-1).The two-dimensional delay waveforms with different Doppler spread characteristics are applied to extract six features, which are combined

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