Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
Abstract: A nonlinear parametric model order reduction approach based on random selection of parameters and hyper-reduction is proposed and applied for the computation of the induced electric field in ...
yolo-fastapi-deployment/ ├── app/ │ ├── __init__.py │ ├── main.py │ ├── models/ │ │ ├── __init__.py │ │ └── yolo ...
A comprehensive repository for fine-tuning the Donut model for document image classification and parsing tasks. This project provides optimized training pipelines using Hugging Face Transformers with ...
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