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Learning to identify cracks on wind turbine blade surfaces using drone-based inspection images
Hence in this work, we bring more objectivity, scalability, and repeatability in our damage inspection process, using deep learning, to miss fewer cracks.
An Automated System for Detecting Visual Damages of Wind Turbine Blades
We discuss the performance of our damage's suggestion model in production and how this system works in coordination with humans as part of a commercialized product and how it can contribute towards lowering wind energy's operational costs.
Powering Effective Climate Communication with a Climate Knowledge Base
While many accept climate change and its growing impacts, few converse about it well, limiting the adoption speed of societal changes necessary to address it.
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