[HTML][HTML] Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity
AS Abangan, D Kopp, R Faillettaz - Frontiers in Marine Science, 2023 - frontiersin.org
Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …
the world of fishes, and how they interact with fishing gears—breaking through physical …
[HTML][HTML] Deep reinforcement learning: A new beacon for intelligent active flow control
The ability to manipulate fluids has always been one of the focuses of scientific research and
engineering application. The rapid development of machine learning technology provides a …
engineering application. The rapid development of machine learning technology provides a …
[HTML][HTML] Physics-informed reinforcement learning for motion control of a fish-like swimming robot
C Rodwell, P Tallapragada - Scientific Reports, 2023 - nature.com
Motion control of fish-like swimming robots presents many challenges due to the
unstructured environment and unmodelled governing physics of the fluid–robot interaction …
unstructured environment and unmodelled governing physics of the fluid–robot interaction …
Learning in two dimensions and controlling in three: Generalizable drag reduction strategies for flows past circular cylinders through deep reinforcement learning
We investigate drag reduction mechanisms in flows past two-and three-dimensional
cylinders controlled by surface actuators using deep reinforcement learning. We investigate …
cylinders controlled by surface actuators using deep reinforcement learning. We investigate …
Drag reduction in flows past 2D and 3D circular cylinders through deep reinforcement learning
M Chatzimanolakis, P Weber… - arXiv preprint arXiv …, 2023 - arxiv.org
We investigate drag reduction mechanisms in flows past two-and three-dimensional
cylinders controlled by surface actuators using deep reinforcement learning. We investigate …
cylinders controlled by surface actuators using deep reinforcement learning. We investigate …
Behavioral adaptation to changing energy constraints via altered frequency of movement selection
Animal behavior is strongly constrained by energy consumption. A natural manipulation
which provides insight into this constraint is development, where an animal must adapt its …
which provides insight into this constraint is development, where an animal must adapt its …
Artificial Intelligence that Learns Fish Behavior Might Improve Fishing Gear
S Saraswat, S Sharma, N Verma… - Journal of Survey in …, 2023 - sifisheriessciences.com
Researchers have used monitoring devices to examine fish behavior in the vicinity of fishing
gear. Deep learning algorithms allow marine scientists to quickly analyze massive amounts …
gear. Deep learning algorithms allow marine scientists to quickly analyze massive amounts …
Smart microswimmers in complex flows
N Mousavi - 2022 - gupea.ub.gu.se
Zooplankton are playing a pivotal role in balancing the life on Earth. By grazing on
phytoplankton and then serving as food source to larger aquatic animals, they pave the way …
phytoplankton and then serving as food source to larger aquatic animals, they pave the way …
Physics-based Machine Learning Methods for Control and Sensing in Fish-like Robots
C Rodwell - 2023 - tigerprints.clemson.edu
Underwater robots are important for the construction and maintenance of underwater
infrastructure, underwater resource extraction, and defense. However, they currently fall far …
infrastructure, underwater resource extraction, and defense. However, they currently fall far …