Results 211 to 220 of about 994,283 (339)

Deep Learning-Based Dynamic Computation Task Offloading for Mobile Edge Computing Networks. [PDF]

Sensors (Basel), 2022
Yang S, Lee G, Huang L.
europepmc   +1 more source

Mobile Edge Computing Partial Offloading Techniques for Mobile Urban Scenarios [PDF]

, 2018
Arash Bozorgchenani, Daniele Tarchi, Giovanni Emanuele Corazza   +2 more
openalex   +1 more source

Nanoscale Agglomeration Mechanisms of BF‐DPB:BPyMPM Donor–Acceptor Systems for Organic Optoelectronic Devices

Advanced Functional Materials, EarlyView.
The intermolecular and molecule‐substrate interactions and resulting molecular assembly of the OLED and OPV donor and acceptor molecules BF‐DPB and BPyMPM are investigated on different single crystalline substrates using high‐resolution scanning probe microscopy.
Milena Merkel, Philipp Wiesener, Robert Schmidt, Rishi Shivhare, Nikos Doltsinis, Rudolf Bratschitsch, Saeed Amirjalayer, Koen Vandewal, Harry Mönig   +8 more
wiley   +1 more source

A collaborative inference strategy for medical image diagnosis in mobile edge computing environment. [PDF]

PeerJ Comput Sci
Zhang S, Cui Y, Xu D, Lin Y.
europepmc   +1 more source

Deep Learning-Based Construction and Processing of Multimodal Corpus for IoT Devices in Mobile Edge Computing. [PDF]

Comput Intell Neurosci, 2022
Liang C, Xu J, Zhao J, Chen Y, Huang J.
europepmc   +1 more source

An ADMM Based Method for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing Networks [PDF]

, 2018
Suzhi Bi, Ying–Jun Angela Zhang
openalex   +1 more source

Switching From Acceptor to FRET Donor: How the Organic Solar Cell Architecture Can Change the Role of a Chromophore

Advanced Functional Materials, EarlyView.
The non‐fullerene acceptor o‐IDT‐BT‐DCV is used in both binary and ternary blends to investigate the role that it plays in each device architecture. The charge generation pathways are found to differ between the binary and ternary blends with o‐IDT‐BT‐DCV becoming a second donor in the ternary blend.
Hui Jin, Neil Mallo, Guanran Zhang, Oliver Lindsay, Ronan Chu, Mile Gao, Shaun McAnally, Isaac M. Etchells, Paul L. Burn, Ian R. Gentle, Paul E. Shaw   +10 more
wiley   +1 more source

An edge server placement based on graph clustering in mobile edge computing. [PDF]

Sci Rep
Zhang S, Yu J, Hu M.
europepmc   +1 more source

Joint Optimization for Mobile Edge Computing-Enabled Blockchain Systems: A Deep Reinforcement Learning Approach. [PDF]

Sensors (Basel), 2022
Hu Z, Gao H, Wang T, Han D, Lu Y.
europepmc   +1 more source

A Survey on Service Migration in Mobile Edge Computing

, 2018
Shangguang Wang, Jinliang Xu, Ning Zhang, Yujiong Liu   +3 more
openalex   +1 more source