Mobile edge computing - Open Access .click

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FLPP: A Federated-Learning-Based Scheme for Privacy Protection in Mobile Edge Computing. [PDF]

Entropy (Basel), 2023
Cheng Z, Ji X, You W, Bai Y, Chen Y, Qin X. +5 more
europepmc +1 more source

Experimental Characterization and Constitutive Modeling of the Effect of Prior Inelastic Strain on the Viscoplastic Behavior of AD730 at 700 °C

Advanced Engineering Materials, EarlyView.
This study shows that superalloys used in aircraft engine disks become much more prone to deformation at high temperatures if they have been strained during manufacturing. This effect increases with the level of prior strain but eventually reaches a limit.
Fabio Machado Alves da Fonseca +9 more
wiley +1 more source

Retracted: Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm. [PDF]

Appl Bionics Biomech, 2023
And Biomechanics AB.
europepmc +1 more source

A Novel Task Caching and Migration Strategy in Multi-Access Edge Computing Based on the Genetic Algorithm

, 2019
Multi-access edge computing (MEC) brings high-bandwidth and low-latency access to applications distributed at the edge of the network. Data transmission and exchange become faster, and the overhead of the task migration between mobile devices and edge ...
Lujie Tang, Bing Tang, Linyao Kang, Li Zhang +3 more
core +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

Advanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele, Hossein Ipakchi, Tizazu H. Mekonnen +2 more
wiley +1 more source

Cooperative load balancing scheme for edge computing resources

, 2017
Edge Computing, as a solution to leveraging computation capabilities at the edge of the network, is emerging. One key challenge for edge computing is offering its computing service with a low service blocking and low latency that otherwise translate ...
Mtibaa, Abderrahmen +5 more
core +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello +7 more
wiley +1 more source

J Cloud Comput (Heidelb), 2023
Liu X, Gao A, Chen C, Moghimi MM.
europepmc +1 more source

Grain Refinement During Severe Plastic Deformation and Similitude of Subgrain Formation: A Molecular Dynamics Study

Advanced Engineering Materials, EarlyView.
Molecular dynamics is used to investigate structure refinement during severe plastic deformation. The results show similitude with experimental data. Molecular dynamics simulations of severe plastic deformation of monocrystalline and polycrystalline samples by multiaxial compression of aluminum are carried out.
Roberto B. Figueiredo
wiley +1 more source

A decision-making mechanism for task offloading using learning automata and deep learning in mobile edge networks

Heliyon
The development of mobile networks has led to the emergence of challenges such as high delays in storage, computing and traffic management. To deal with these challenges, fifth-generation networks emphasize the use of technologies such as mobile cloud ...
Xin Tan +6 more
doaj +1 more source

computation offloading
resource allocation
deep reinforcement learning

computing offloading
electrical engineering
mobile cloud computing

nuclear engineering
electronics