Joint Optimization for Residual Energy Maximization in Wireless Powered Mobile-Edge Computing Systems [PDF]
Peng Liu+4 more
openalex +1 more source
Research on secure transport strategy of mobile edge computing based on deep reinforcement learning
In mobile edge computing, the process of task unloading will face security problems such as information leakage and eavesdropping. To improve the unloading efficiency of mobile edge computing system, the physical layer security transmission strategy of ...
WANG Yijun+4 more
doaj
Voice Detection and Music Smart Classroom Teaching Application Based on Mobile Edge Computing. [PDF]
Huang J, Zhang B.
europepmc +1 more source
Mobile Edge Computing for Big-Data-Enabled Electric Vehicle Charging [PDF]
Yue Cao+6 more
openalex +1 more source
Identification and Reversible Optical Switching of NV+ Centers in Diamond
NV+ centers in diamond are predicted to coexist with NV0 and NV– centers, but direct experimental confirmation remains challenging. Using positron annihilation spectroscopy with in situ light illumination, a charge transition NV+/0 is observed at 1.234(8) eV.
Marcel Dickmann+13 more
wiley +1 more source
Task Offloading Strategy Based on Mobile Edge Computing in UAV Network. [PDF]
Qi W, Sun H, Yu L, Xiao S, Jiang H.
europepmc +1 more source
Individual Presence-and-Preference-Based Local Intelligent Service System and Mobile Edge Computing
Kilhwan Kim+3 more
openalex +2 more sources
UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design [PDF]
Fuhui Zhou+3 more
openalex +1 more source
Compositing Effect Leads to Extraordinary Performance in GeSe‐Based Thermoelectrics
Rhombohedral GeSe is rationally designed with (GeSe)0.9(AgBiTe2)0.1‐1.5 mol.% SnSe, achieving a peak ZT of 1.31 at 623 K. Forming a composite with SnSe establishes interfaces with strong phonon scattering and weak electron scattering. Multiscale defects lead to an ultra‐low lattice thermal conductivity (0.26 W m−1 K−1), approaching the amorphous limit.
Min Zhang+14 more
wiley +1 more source
Task Offloading and Resource Allocation Strategy Based on Deep Learning for Mobile Edge Computing. [PDF]
Yu Z, Xu X, Zhou W.
europepmc +1 more source