Net CAGE
"Net cage" research encompasses diverse applications, primarily focusing on improving modeling and analysis of dynamic systems within enclosed environments. Current efforts concentrate on developing advanced modeling techniques, such as multifidelity digital twins and novel neural network architectures (e.g., Vision Transformers, Graph Convolutional Networks), to enhance real-time monitoring and prediction capabilities in areas like aquaculture and cybersecurity. These advancements offer significant potential for optimizing resource management, improving safety and efficiency in various fields, and facilitating more sophisticated behavioral analysis in biological studies.
Papers
July 12, 2024
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July 25, 2022
June 1, 2022