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20202024
most citedSelf-Supervised Keypoint Discovery in Behavioral Videos

8 citations · 14 across the 7 of their papers we have counts for

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6 papers · 1 filter

physics.flu-dyn20241 cited

Fish-inspired tracking of underwater turbulent plumes

Peter Gunnarson, John O. Dabiri

Autonomous ocean-exploring vehicles have begun to take advantage of onboard sensor measurements of water properties such as salinity and temperature to locate oceanic features in r…

physics.flu-dyn2023

Do swimming animals mix the ocean?

John O. Dabiri

The world's oceans are in constant motion, transporting the sun's heat from the equator to the poles, bringing marine life fresh supplies of oxygen and nutrients, and sequestering…

physics.flu-dyn20231 cited

Visual anemometry: physics-informed inference of wind for renewable energy, urban sustainability, and environmental science

John O. Dabiri, Michael F. Howland, Matthew K. Fu +1

Accurate measurements of atmospheric flows at meter-scale resolution are essential for a broad range of sustainability applications, including optimal design of wind and solar farm…

physics.flu-dyn2023

Persistent Laminar Flow at Reynolds Numbers Exceeding 100,000

John O. Dabiri, Nina Mohebbi, Matthew K. Fu

Accurate prediction of the transition from laminar flow to turbulence remains an unresolved challenge despite its importance for understanding a variety of environmental, biologica…

physics.flu-dyn2022

Physical constraints on visual anemometry using vegetation displacement statistics

Roni H. Goldshmid, John O. Dabiri

Visual anemometry (VA) leverages observations of fluid-structure interactions to infer incident flow characteristics. Recent work has demonstrated the concept of VA using both data…

physics.flu-dyn20204 cited

Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment

Michael F. Howland, Carlos Moral Gonzalez, Juan Jose Pena Martinez +5

The intentional yaw misalignment of leading, upwind turbines in a wind farm, termed wake steering, has demonstrated potential as a collective control approach for wind farm power m…