AN ACCELERATED EDGE CLOUD SYSTEM FOR ENERGY DATA STREAM PROCESSING BASED ON ADAPTIVE INCREMENTAL DEEP LEARNING SCHEME

An Accelerated Edge Cloud System for Energy Data Stream Processing Based on Adaptive Incremental Deep Learning Scheme

As smart metering technology evolves, power suppliers can make low-cost, low-risk estimation of customer-side power consumption by analyzing energy demand data collected in real-time.With advances network infrastructure, smart sensors, and various monitoring technologies, a standardized energy metering infrastructure, called Grooming Brushes advanc

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Unlocking the inelastic Dark Matter window with vector mediators

Abstract Despite the robust cosmological and astrophysical evidence confirming the existence of a non-baryonic matter component in the Universe, the underlying nature of Personal Care Kits Dark Matter (DM) remains a mystery.Among the several possible scenarios, light DM candidates thermally produced in the early Universe are especially interesting,

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Molecular epidemiology of enteroviruses in Cyprus 2008-2017.

Enteroviruses (EVs) are associated with a broad spectrum of disease manifestations, including aseptic meningitis, encephalitis, hand, foot and mouth disease, acute flaccid paralysis and acute flaccid myelitis with outbreaks being reported frequently world-wide.The aim of this study was the molecular characterization of all enteroviruses detected in

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