Search
Now showing items 1-5 of 5
How much can neural networks learn about jellyfish?
(2021)
Neural Networks can approximate real-valued, discrete values and vector-valued functions. Artificial neural networks (ANNs) have inputs neurons, hidden layers, and output neurons. A Convolutional Neural Network (CNN) has ...
When it is good to be out of sync: copepod and marine snow interactions
(2021)
Copepods’ interaction with marine snow and how they capture food is an understudied topic. The focus of this project is to create mathematical models of copepods and marine snow particles to study how different movement ...
Hopscotching jellyfish: combining different duty cycle kinematics can lead to enhanced swimming performance
(IOP Publishing, 2021-10-26)
Jellyfish (Medusozoa) have been deemed the most energy-efficient animals in the world. Their bell morphology and relatively simple nervous systems make them attractive to robotocists. Although, the science community has ...
Fluid-structure interaction for the classroom: interpolation, hearts, and swimming!
(Society for Industrial and Applied Mathematics, 2021)
While students may find spline interpolation quite digestible, based on their familiarity with continuity of a function and its derivatives, some of its inherent value may be missed when students only see it applied to ...