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Enabling M2M communication through MEC and SDN. In this paper, we propose an algorithm for offloading the core network using mobile edge computing, which allow
Toward an Ultra-low Latency and Energy Efficient LoRaWANT networks. The mobile edge computing is proposed to provide the computing and energy resources at the edge
Stack4Things as a fog computing platform for Smart City applications© 2016 IEEE.Fog computing envisions computation logic to be moved at the edge of the Internet where
Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital EnvironmentLeading edge healthcare
Effect of wear of tool cutting edge on detail surface layer deformation and parameters of vibro-acoustic signalsThis paper studies the computing possibilities of estimating the deformation of the surface layer
Graphene-nanotube structures: Constitution and formation energy and carbon nanotube fragments. As found using semiempirical computations and molecular dynamics methods
Stack4Things as a fog computing platform for Smart City applications© 2016 IEEE.Fog computing envisions computation logic to be moved at the edge of the Internet where
Energy-and Latency-aware hybrid offloading algorithm for UAVs algorithm for UAVs to assist in the execution of computationally intensive tasks. The proposed algorithm
Energy- and Latency-Aware Hybrid Offloading Algorithm for UAVs algorithm for UAVs to assist in the execution of computationally intensive tasks. The proposed algorithm
CAD OF TURBINE PROFILE TYPE A3K7 NACA BY THE METHOD OF NONLINEAR TRANSFORMATION calculations and graphical representations were made in the computer algebra system Mathcad
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