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Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Data
Feb. 27, 2024, 5:43 a.m. | Gerard Calvo Bartra, Filip Lemic, Guillem Pascual, Aina P\'erez Rodas, Jakob Struye, Carmen Delgado, Xavier Costa P\'erez
cs.LG updates on arXiv.org arxiv.org
Abstract: Contemporary research advances in nanotechnology and material science are rooted in the emergence of nanodevices as a versatile tool that harmonizes sensing, computing, wireless communication, data storage, and energy harvesting. These devices offer novel pathways for disease diagnostics, treatment, and monitoring within the bloodstreams. Ensuring precise localization of events of diagnostic interest, which underpins the concept of flow-guided in-body nanoscale localization, would provide an added diagnostic value to the detected events. Raw data generated by …
abstract advances arxiv communication computing cs.et cs.lg cs.ni data data storage devices diagnostics disease emergence energy flow graph graph neural networks localization material nanotechnology networks neural networks novel raw research science sensing storage tool treatment type wireless
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