Abstract: 6D pose estimation is a crucial subfield of visual measurement, extensively applied in robotics, autonomous driving, and augmented reality. Existing instance-level and category-level 6D pose ...
Temperature-based methods (Thornthwaite, Camargo) systematically underestimate ETo in both climates, with errors exceeding 30% RMSE Priestley-Taylor shows excellent performance in humid Manaus (RMSE < ...
The methodology extends traditional CIB analysis with ways to handle uncertainty, test how robust scenarios are, simulate how systems change over time, and model probabilities. The simplest approach ...
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