Results 71 to 80 of about 80,893 (323)
FogGIS: Fog Computing for Geospatial Big Data Analytics
Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client ...
Barik, Rabindra K. +4 more
core +1 more source
Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon +5 more
wiley +1 more source
FIT A Fog Computing Device for Speech TeleTreatments
There is an increasing demand for smart fogcomputing gateways as the size of cloud data is growing. This paper presents a Fog computing interface (FIT) for processing clinical speech data.
Dubey, Harishchandra +4 more
core +1 more source
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcome measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semistructured interviews ...
Catherine Nasrallah +13 more
wiley +1 more source
Contributions to energy-aware demand-response systems using SDN and NFV for fog computing [PDF]
Christian José Tipantuña Tenelema
openalex +1 more source
A Content-based Centrality Metric for Collaborative Caching in Information-Centric Fogs [PDF]
Information-Centric Fog Computing enables a multitude of nodes near the end-users to provide storage, communication, and computing, rather than in the cloud.
Ghamri-Doudane, Yacine +2 more
core +1 more source
Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning
With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and ...
Carpio, Francisco +3 more
core +1 more source
Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel +6 more
wiley +1 more source
Security in Fog Computing: A Novel Technique to Tackle an Impersonation Attack
Fog computing is an encouraging technology in the coming generation to pipeline the breach between cloud data centers and Internet of Things (IoT) devices. Fog computing is not a counterfeit for cloud computing but a persuasive counterpart.
Shanshan Tu +6 more
doaj +1 more source
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments [PDF]
Mohammad Goudarzi +3 more
openalex +1 more source

