Graph Neural Networks and Wind Farms

Deep Neural Networks with Relational Inductive Biases for Wake Modeling

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Bayesian Graph Networks and Crack Localization

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Conditional Variational Autoencoder for Wind Turbine Blade Fatigue Damage Estimation

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Bayesian Deep learning for statistical modeling of Wind Farm Monitoring Data

Leveraging advances in deep learning for uncertainty quantification

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Reverse engineering IR protocols without a logic analyzer

IR hacking for a robot vacuum and an IR remote control

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Making and interfacing a Wifi RGB LED matrix (neo-pixel)

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Single-channel localization with Deep CNNs

or what multiplexers don't want you to know

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Literature Graph Navigation using Pre-trained Transformers

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