Collaborative optimization of computational offloading and resource allocation based on Stackelberg game. [PDF]
PLoS OneLi L +6 more
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Enhancing knowledge flow in a health care context: a mobile computing approach.
JMIR Mhealth Uhealth, 2014 Oliveira J +4 more
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Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
Sci RepAnand J, Karthikeyan B.
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Autonomous vehicles with augmented reality internet of things and edge intelligence system for industry 5.0 based on 6G. [PDF]
PLoS OneAhmed AA +9 more
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Latency and energy-aware adaptive service migration in mobile edge computing. [PDF]
Sci RepLi L, Lv J, Wang S, Hu C, Sun G, Li N.
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A direction aware predictive offloading framework for energy conscious mobile augmented reality systems. [PDF]
Sci RepJebamani SA, Sathianesan GW.
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A neural network framework for selecting real-time video enhancement algorithms on mobile devices. [PDF]
Sci RepKhan M, Rahman MI, Ziar RA.
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An efficient framework for scheduling security-critical tasks in resource-limited mobile edge computing using hybridized gold rush with golden jackal optimization strategy. [PDF]
MethodsXVhatkar K +7 more
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Evaluation of Content-Matched Range Monitoring Queries over Moving Objects in Mobile Computing Environments. [PDF]
Sensors (Basel), 2015 Jung H, Song M, Youn HY, Kim UM.
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BlueEdge neural network approach and its application to automated data type classification in mobile edge computing. [PDF]
Sci RepElmobark N, El-Ghareeb H, Elhishi S.
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