Results 51 to 60 of about 13,785 (308)

Big Data and Fog Computing [PDF]

open access: yes, 2018
To Appear as a contribution in Encyclopedia of Big Data Technologies, Sherif Sakr and Albert Zomaya eds., Springer Nature ...
openaire   +4 more sources

Joint Optimization of Computation Offloading, Data Compression, Energy Harvesting, and Application Scenarios in Fog Computing

open access: yesIEEE Access, 2021
Fog computing is considered to be an effective method to solve the problem of high latency and high energy consumption of IoT devices. A suitable computation offloading strategy can provide a low offloading cost to the user device.
Wenle Bai   +6 more
doaj   +1 more source

Performance Analysis of a Keyword-Based Trust Management System for Fog Computing

open access: yesApplied Sciences, 2023
This study presents a novel keyword-based trust management system for fog computing networks aimed at improving network efficiency and ensuring data integrity.
Ahmed M. Alwakeel
doaj   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

open access: yesApplied Sciences, 2022
Connected vehicles are a vital part of smart cities, which connect over a wireless connection and bring mobile computation and communication abilities.
Abdul Majid Farooqi   +3 more
doaj   +1 more source

Transcriptional regulation of neuropeptide receptors underlies context‐dependent adaptation in Drosophila melanogaster

open access: yesFEBS Open Bio, EarlyView.
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu   +6 more
wiley   +1 more source

Fog Computing and the Internet of Things: A Review

open access: yesBig Data and Cognitive Computing, 2018
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure.
Hany F. Atlam   +2 more
doaj   +1 more source

Notions of architecture in fog computing [PDF]

open access: yesComputing, 2020
AbstractFog computing is becoming a popular paradigm for bringing the advantages of the cloud nearer to the network edge. This way, computational tasks can be offloaded from end devices to nearby fog nodes, thus benefiting from high computational power and low latency at the same time. Architecture plays a central role in fog computing.
openaire   +3 more sources

Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing [PDF]

open access: yes2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2014
This paper examines some of the most promising and challenging scenarios in IoT, and shows why current compute and storage models confined to data centers will not be able to meet the requirements of many of the applications foreseen for those scenarios.
Marcelo Yannuzzi   +4 more
openaire   +2 more sources

ICU‐EEG Pattern Detection by a Convolutional Neural Network

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano   +5 more
wiley   +1 more source

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