Πλοήγηση ανά Θέμα "Comparative assessment"
Αποτελέσματα 1-8 από 8
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Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification
(2021)Online novelty detection is an emerging task in Edge Computing trying to identify novel concepts in contextual data streams which should be incorporated into predictive analytics and inferential models locally executed on ... -
A comparative assessment of machine learning algorithms for events detection
(2019)Nowadays, one can observe massive amount of data production by numerous devices interacting with their environment and end users. [1] Such data can be the subject of advanced processing usually through machine learning ... -
A delay-resilient and quality-aware mechanism over incomplete contextual data streams
(2016)We study the case of scheduling a Contextual Information Process (CIP) over incomplete multivariate contextual data streams coming from sensing devices in Internet of Things (IoT) environments. CIPs like data fusion, concept ... -
Enhanced-performance extraction of olive (Olea europaea) leaf polyphenols using L-lactic acid/ammonium acetate deep eutectic solvent combined with β-cyclodextrin: screening, optimisation, temperature effects and stability
(2021)This investigation had as objective to study the effective recovery of olive leaf (OLL) polyphenols using a blend of an L-lactic acid/ammonium acetate deep eutectic solvent (DES) with β-cyclodextrin (β-CD). Following an ... -
Landmark based Outliers Detection in Pervasive Applications
(2021)The combination of the Internet of Things and the Edge Computing gives many opportunities to support innovative applications close to end users. Numerous devices present in both infrastructures can collect data upon which ... -
Proactive & Time-Optimized Data Synopsis Management at the Edge
(2022)Internet of Things offers the infrastructure for smooth functioning of autonomous context-aware devices being connected towards the Cloud. Edge Computing (EC) relies between the IoT and Cloud providing significant advantages. ... -
Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
(2020)Forest fires are a natural phenomenon which might have severe implications on natural and anthropogenic ecosystems. Future projections predict that, under a climate change environment, the fire season would be lengthier ... -
Uncertainty Driven Workflow Scheduling Using Unreliable Cloud Resources
(2020)The Cloud infrastructure offers to end users a broad set of heterogenous computational resources using the pay-as-you-go model. These virtualized resources can be provisioned using different pricing models like the unreliable ...