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klotz: biomechanics* + xai* + machine learning* + physics-based simulation* + convolutional neural network* + hinge*

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1. Machine learning reveals the control mechanics of an insect wing hinge

   - Study on insect wing hinge control mechanics was conducted by researchers at California Institute of Technology.
   - The study utilized a genetically encoded calcium indicator to image steering muscles activity in flies while tracking 3D wing motion.
   - A Convolutional Neural Network (CNN) was trained to predict wing motion from steering muscle activity and wingbeat frequency.
   - An encoder-decoder was employed to predict the role of individual sclerites on wing motion.
   - Virtual experiments were carried out to assess the impact of modulating wing motion via steering muscle activity on aerodynamic forces.
   - The study concludes that the insect wing hinge is a complex and evolutionarily significant skeletal structure.

   2024-05-29 Tags: insect, wing, hinge, machine learning, biomechanics, convolutional neural network, encoder–decoder, aerodynamic forces, physics-based simulation, xai, feature importance by klotz

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