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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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Abstract One of the main challenges of edge artificial intelligence is keeping the model accuracy in the face of extreme resources limitations. The current model compression techniques are based primarily on heuristic techniques, which do not have theoretical …
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europepmc
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europepmc
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Spiking Neural Networks (SNNs) have garnered significant attention due to their ability to process temporal information efficiently with low power consumption and high biological plausibility. In prevailing SNNs, spiking neuron models play a crucial role and h…
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
2026
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europepmc
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europepmc
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The rapid transition to digital medicine has transformed isolated electronic medical devices into intelligent, interconnected ecosystems capable of predictive analytics and continuous monitoring. The expansion of hyperconnectivity introduces significant vulner…
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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