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on SiGe(Sn) heterostructures, namely heat generation and strain-induced degradation during operation. The improvement of device design and fabrication requires an experimental technique capable of probing
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of variable distributions [13,14]. Graphic neural networks (GNNs) are new inference methods developed in recent years and are attracting increasing attention due to their efficiency and ability in solving
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prediction models, and visualizing immense volumes of various types of data, generated by agri-robots and IoT devices. The most popular classes of autonomous agricultural devices include: weeding robots
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