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andresrodriguez55 / wind-turbines-edge-ai

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BACHELOR THESIS. Detect wind turbine errors using a hybrid model. Utilize ML, DL, edge computing. Dataset, neural network optimized with genetic algorithms. Low computational power ML models. Data is stored in the cloud. Turbine status via secure APIs. Password encryption. GRASP, SOLID

react iot machine-learning spring spring-boot deep-learning neural-network thesis solid optimization esp32 genetic-algorithm monolith wind-turbine layered-architecture grasp edge-computing ntier-architecture fastapi edge-ai
  • Updated Jun 2, 2023
  • Java

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