Sort by
Refine Your Search
-
be tested for a variety of highly relevant problems in agriculture, like crop type classification, crop yield forecasting, field boundary delineation, crop disease, and crop failure detection. The Ph.D
-
ideological orientation. Investigates how these ideological tendencies change under financial analysts or financial advisor personas, and how they affect stock forecasts, investment recommendations, and ESG
-
systems such as flashback which can occur with hydrogen or blow-off with ammonia. Currently, we cannot accurately forecast such extreme events due to the chaotic nature of the underlying turbulent flows and
-
machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection