Results 131 to 140 of about 20,039 (254)

Research on secure transport strategy of mobile edge computing based on deep reinforcement learning

Tongxin xuebao
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, LI Jiaxin, YAN Zhiying, LYU Jingying, QIAN Zhihong   +4 more
doaj  

Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing. [PDF]

PeerJ Comput Sci, 2022
Wu J, Haider SA, Soni M, Kalra A, Deb N.
europepmc   +1 more source

Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response

Advanced Functional Materials, EarlyView.
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek, Yuxuan Zhang, Hyeondong Yang, Minyoung Kim, Pavlos P. Vlachos, Jeongok Choe, Bo‐Gyu Bok, Kejie Zhao, Han‐Wook Song, Min‐Seok Kim, Martin Byung‐Guk Jun, Sunghwan Lee   +11 more
wiley   +1 more source

Latency and energy-aware adaptive service migration in mobile edge computing. [PDF]

Sci Rep
Li L, Lv J, Wang S, Hu C, Sun G, Li N.
europepmc   +1 more source

DRL-OS: A Deep Reinforcement Learning-Based Offloading Scheduler in Mobile Edge Computing. [PDF]

Sensors (Basel), 2022
Lim D, Lee W, Kim WT, Joe I.
europepmc   +1 more source

Viscoelasticity‐Induced Controllable Periodic Meso‐Textures of Liquid Crystal Polymers in Additive Manufacturing

Advanced Functional Materials, EarlyView.
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou, Jiongyi Yan, Dick F. Firdaus, Amy Jin, Jiaxuan Li, Shushan Wang, Ran Chen, Xudong Tao, Zehao Ji, Yi Liu, Zichen Wang, Christos Margadji, Mark Kotter, J. Axel Zeitler, George G. Malliaras, Ronan Daly, Andrew Gleadall, Sebastian W. Pattinson   +17 more
wiley   +1 more source

AI-embedded IoT healthcare optimization with trust-aware mobile edge computing. [PDF]

Sci Rep
Alamri M, Haseeb K, Humayun M, Alshammeri M.   +3 more
europepmc   +1 more source

Path Planning and Formation Control for UAV-Enabled Mobile Edge Computing Network. [PDF]

Sensors (Basel), 2022
Choutri K, Lagha M, Meshoul S, Fadloun S.   +3 more
europepmc   +1 more source

Impact of Surface Functionalization on NV Quantum Properties: Implications for Biosensing with Fluorescent Nanodiamonds

Advanced Functional Materials, EarlyView.
Fluorescent nanodiamonds (fNDs) have emerged as an invaluable quantum sensing platform for biological and biochemical systems. This paper investigates the influence of common surface functionalization strategies for bioconjugation on the quantum properties of nitrogen vacancy (NV) centers in nanodiamonds.
Anja Sadžak, Iván Pérez, Mateja Guimarães, Lukas Spantzel, Fedor Jelezko, Michael Börsch, Anke Krueger   +6 more
wiley   +1 more source

Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]

Sci Rep
Anand J, Karthikeyan B.
europepmc   +1 more source