Sort by
Refine Your Search
-
digital twins that simulate and predict nitrogen use efficiency (NUE) in forage grasses and oats. By combining high-resolution phenotyping data from the TraitFinder system, drones, and robotic sensors with
-
algorithm controversy game. Design Studies, 91, 101245. Hicks, B., Kitto, K., Payne, L., & Buckingham Shum, S. (2022). Thinking with causal models: A visual formalism for collaboratively crafting assumptions
-
for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
Enter an email to receive alerts for algorithm-sensor "University of Houston" positions