Results 51 to 60 of about 14,854 (207)

Edge Computing Cybersecurity Standards: Protecting Infrastructure and Applications

open access: yesIEEE Access
The advent of MEC (Multi-access Edge Computing), as a natural evolution of cloud computing, can enable innovative services and applications, with many opportunities for end users.
Dario Sabella   +4 more
doaj   +1 more source

Mobile Personal Multi-Access Edge Computing Architecture Composed of Individual User Devices

open access: yesApplied Sciences, 2020
The Multi-Access Edge Computing (MEC) paradigm provides a promising solution to solve the resource-insufficiency problem in user mobile devices by offloading computation-intensive and delay-sensitive computing services to nearby edge nodes.
Juyong Lee, Jeong-Weon Kim, Jihoon Lee
doaj   +1 more source

EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks

open access: yes, 2017
Merging mobile edge computing (MEC) functionality with the dense deployment of base stations (BSs) provides enormous benefits such as a real proximity, low latency access to computing resources.
Sun, Yuxuan, Xu, Jie, Zhou, Sheng
core   +1 more source

Eutectozymes as Soft Hybrid Materials for Advanced Biocatalysis

open access: yesAdvanced Materials, EarlyView.
Eutectozymes are sustainable hybrid materials that embed a GOx–HRP cascade within hydrophobic eutectogels featuring a dual supramolecular–covalent network. This architecture preserves native enzyme structure and stability, enables efficient heterogeneous biocatalysis in aqueous media, and positions eutectogels as robust platforms for next‐generation ...
Manuel Eduardo Martinez Cartagena   +10 more
wiley   +1 more source

Multi-Access Edge Computing Resource Slice Allocation: A Review

open access: yesIEEE Access
The global deployment of fifth generation mobile cellular (5G) and beyond (5GB) communication systems has accelerated the growth of the Internet of Things (IoT) and the Internet of Everything (IoE).
Faezeh Bahramisirat   +2 more
doaj   +1 more source

Differentiated Service/Data Migration for Edge Services Leveraging Container Characteristics

open access: yesIEEE Access, 2019
The Multi-access Edge Computing (MEC) and Fog Computing paradigms are enabling the opportunity to have middleboxes either statically or dynamically deployed at network edges acting as local proxies with virtualized resources for supporting and enhancing ...
Paolo Bellavista   +3 more
doaj   +1 more source

Multi-Tier Cellular Handover with Multi-Access Edge Computing and Deep Learning

open access: yesTelecom, 2021
This paper proposes a potential enhancement of handover for the next-generation multi-tier cellular network, utilizing two fifth-generation (5G) enabling technologies: multi-access edge computing (MEC) and machine learning (ML). MEC and ML techniques are
Percy Kapadia, Boon-Chong Seet
doaj   +1 more source

Engineered Microfluidic Organoid Systems: New Paradigms for Menopause Mechanism Research and Personalized Medicine

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang   +4 more
wiley   +1 more source

Dynamic Hierarchical Cache Management for Cloud RAN and Multi- Access Edge Computing in 5G Networks [PDF]

open access: yes, 2018
Cloud Radio Access Networks (CRAN) and Multi-Access Edge Computing (MEC) are two of the many emerging technologies that are proposed for 5G mobile networks.
Rajendiran, Deepika Pathinga
core   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

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