Titlebook: Designing Modern Embedded Systems: Software, Hardware, and Applications; 7th IFIP TC 10 Inter Stefan Henkler,Márcio Kreutz,Achim Rettberg C

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Synthetic Data for Machine Learning on Embedded Systems in Precision Agriculture plants. In this paper, we outline an approach for the generation of synthetic data of infected plants that can be used to train a machine learning model for the classification of sugar beets. We use image augmentation techniques to build a pipeline that can automatically overlay diseased areas on healthy areas of leaf images.

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Conference proceedings 2023ties and characteristics, performance analysis, and real-time systems design. Also, the book presents industrial and real-world application case studies that discuss the challenges and realizations of modern embedded systems, especially when it comes to including artificial intelligence algorithms and techniques in embedded systems..

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Space-Fluid and Time-Fluid Programminge model in SystemC TLM-2.0 a Grid of Processing Cells (GPC) with a Checkerboard arrangement of processors and memories. To demonstrate its scalability, we evaluate the performance of a highly parallel Mandelbrot renderer on growing Checkerboard platforms. Our results confirm that the performance scales well with the number of processors.

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1868-4238 case studies that discuss the challenges and realizations of modern embedded systems, especially when it comes to including artificial intelligence algorithms and techniques in embedded systems..978-3-031-34216-5978-3-031-34214-1Series ISSN 1868-4238 Series E-ISSN 1868-422X

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