Matches in SemOpenAlex for { <https://semopenalex.org/work/W2984744746> ?p ?o ?g. }
- W2984744746 endingPage "1350" @default.
- W2984744746 startingPage "1338" @default.
- W2984744746 abstract "The integration of wearable devices in humans' daily lives has grown significantly in recent years and still continues to affect different aspects of high-quality life. Thus, ensuring the reliability of the decisions becomes essential in biomedical applications, while representing a major challenge considering battery-powered wearable technologies. Transferring the complex and energy-consuming computations to fogs or clouds can significantly reduce the energy consumption of wearable devices and result in a longer lifetime of these systems with a single battery charge. In this work, we aim to distribute the complex and energy-consuming machine-learning computations between the edge, fog, and cloud, based on the notion of self-awareness that takes into account the complexity and reliability of the algorithm. We also model and analyze the trade-offs in terms of energy consumption, latency, and performance of different Internet of Things (IoT) solutions. We consider the epileptic seizure detection problem as our real-world case study to demonstrate the importance of our proposed self-aware methodology." @default.
- W2984744746 created "2019-11-22" @default.
- W2984744746 creator A5024972825 @default.
- W2984744746 creator A5039085933 @default.
- W2984744746 creator A5074236306 @default.
- W2984744746 date "2019-12-01" @default.
- W2984744746 modified "2023-10-03" @default.
- W2984744746 title "Resource-Aware Distributed Epilepsy Monitoring Using Self-Awareness From Edge to Cloud" @default.
- W2984744746 cites W1530181845 @default.
- W2984744746 cites W1905270543 @default.
- W2984744746 cites W1971130353 @default.
- W2984744746 cites W1973172826 @default.
- W2984744746 cites W2067080724 @default.
- W2984744746 cites W2072916763 @default.
- W2984744746 cites W2107153032 @default.
- W2984744746 cites W2130798978 @default.
- W2984744746 cites W2131979832 @default.
- W2984744746 cites W2156480002 @default.
- W2984744746 cites W2198252115 @default.
- W2984744746 cites W2205445074 @default.
- W2984744746 cites W2282130138 @default.
- W2984744746 cites W2306447822 @default.
- W2984744746 cites W2316469882 @default.
- W2984744746 cites W2317748259 @default.
- W2984744746 cites W2517452023 @default.
- W2984744746 cites W2525789344 @default.
- W2984744746 cites W2561981131 @default.
- W2984744746 cites W2563686712 @default.
- W2984744746 cites W2573554261 @default.
- W2984744746 cites W2580608640 @default.
- W2984744746 cites W2612502572 @default.
- W2984744746 cites W2618739362 @default.
- W2984744746 cites W2786070938 @default.
- W2984744746 cites W2789491284 @default.
- W2984744746 cites W2797898470 @default.
- W2984744746 cites W2806656456 @default.
- W2984744746 cites W2816505892 @default.
- W2984744746 cites W2883553801 @default.
- W2984744746 cites W2884780389 @default.
- W2984744746 cites W2903831172 @default.
- W2984744746 cites W2910830939 @default.
- W2984744746 cites W2946485102 @default.
- W2984744746 cites W2946782401 @default.
- W2984744746 cites W2967667092 @default.
- W2984744746 cites W2983273233 @default.
- W2984744746 cites W4244709074 @default.
- W2984744746 cites W4246910617 @default.
- W2984744746 doi "https://doi.org/10.1109/tbcas.2019.2951222" @default.
- W2984744746 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31689205" @default.
- W2984744746 hasPublicationYear "2019" @default.
- W2984744746 type Work @default.
- W2984744746 sameAs 2984744746 @default.
- W2984744746 citedByCount "27" @default.
- W2984744746 countsByYear W29847447462020 @default.
- W2984744746 countsByYear W29847447462021 @default.
- W2984744746 countsByYear W29847447462022 @default.
- W2984744746 countsByYear W29847447462023 @default.
- W2984744746 crossrefType "journal-article" @default.
- W2984744746 hasAuthorship W2984744746A5024972825 @default.
- W2984744746 hasAuthorship W2984744746A5039085933 @default.
- W2984744746 hasAuthorship W2984744746A5074236306 @default.
- W2984744746 hasBestOaLocation W29847447462 @default.
- W2984744746 hasConcept C111919701 @default.
- W2984744746 hasConcept C119599485 @default.
- W2984744746 hasConcept C120314980 @default.
- W2984744746 hasConcept C121332964 @default.
- W2984744746 hasConcept C127413603 @default.
- W2984744746 hasConcept C149635348 @default.
- W2984744746 hasConcept C150594956 @default.
- W2984744746 hasConcept C154945302 @default.
- W2984744746 hasConcept C162307627 @default.
- W2984744746 hasConcept C163258240 @default.
- W2984744746 hasConcept C2778456923 @default.
- W2984744746 hasConcept C2779333187 @default.
- W2984744746 hasConcept C2780165032 @default.
- W2984744746 hasConcept C31258907 @default.
- W2984744746 hasConcept C41008148 @default.
- W2984744746 hasConcept C43214815 @default.
- W2984744746 hasConcept C5119721 @default.
- W2984744746 hasConcept C54290928 @default.
- W2984744746 hasConcept C62520636 @default.
- W2984744746 hasConcept C79974875 @default.
- W2984744746 hasConceptScore W2984744746C111919701 @default.
- W2984744746 hasConceptScore W2984744746C119599485 @default.
- W2984744746 hasConceptScore W2984744746C120314980 @default.
- W2984744746 hasConceptScore W2984744746C121332964 @default.
- W2984744746 hasConceptScore W2984744746C127413603 @default.
- W2984744746 hasConceptScore W2984744746C149635348 @default.
- W2984744746 hasConceptScore W2984744746C150594956 @default.
- W2984744746 hasConceptScore W2984744746C154945302 @default.
- W2984744746 hasConceptScore W2984744746C162307627 @default.
- W2984744746 hasConceptScore W2984744746C163258240 @default.
- W2984744746 hasConceptScore W2984744746C2778456923 @default.
- W2984744746 hasConceptScore W2984744746C2779333187 @default.
- W2984744746 hasConceptScore W2984744746C2780165032 @default.
- W2984744746 hasConceptScore W2984744746C31258907 @default.
- W2984744746 hasConceptScore W2984744746C41008148 @default.
- W2984744746 hasConceptScore W2984744746C43214815 @default.