Titlebook: Applied Reconfigurable Computing. Architectures, Tools, and Applications; 20th International S Iouliia Skliarova,Piedad Brox Jiménez,Pedro

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Environmental Monitoring using GNSSCNs). GCNs are a type of Graph Neural Networks (GNNs) that combine sparse and dense data compute requirements that are challenging to meet in resource-constrained embedded hardware. The gFADES architecture is optimized to work with the pruned data representations typically present in graph neural ne

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Nanotechnology for Water Remediation,DAR processing require a large processing computing capacity and storage. So, real-time execution of these models requires a high-performance computing platform on-board. To reduce the stress over the onboard computer, some proposals consider lite models at the cost of some accuracy. Instead of mode

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An Introduction to Nanomaterials, configuration circuit is very weak for radiation in terms of both total-ionizing-dose and soft-error tolerances. If radiation permanently breaks even only a few transistors inside an FPGA, the serial configuration circuit is easily down at an extremely high probability. Always, the total-ionizing-d

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