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Record Nr. |
UNINA9910523748603321 |
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Autore |
Bakaev Maxim |
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Titolo |
ICWE 2021 Workshops : ICWE 2021 International Workshops, BECS and Invited Papers, Biarritz, France, May 18–21, 2021, Revised Selected Papers / / edited by Maxim Bakaev, In-Young Ko, Michael Mrissa, Cesare Pautasso, Abhishek Srivastava |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (108 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1508 |
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Disciplina |
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Soggetti |
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Application software |
Artificial intelligence |
Computer networks |
Education - Data processing |
Computer and Information Systems Applications |
Artificial Intelligence |
Computer Communication Networks |
Computers and Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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BECS 2021 -- Putting Data Science Pipelines on the Edge -- DNN Model Deployment on Distributed Edges -- Towards Proactive Context-Aware IoT Environments by means of Federated Learning -- Real-time Deep Learning-based Anomaly Detection Approach for Multivariate Data Streams with Apache Flink -- A Novel Approach to Dynamic Pricing for Cloud Computing Through Price Band Prediction -- Learning-based Activation of Energy Harvesting Sensors for Fresh Data Acquisition -- Invited Papers -- Exploiting Triangle Patterns for Heterogeneous Graph Attention Network -- Towards Seamless IoT Device-Edge-Cloud Continuum: Software Architecture Options of IoT Devices Revisited. |
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Sommario/riassunto |
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This book constitutes the thoroughly refereed post-workshop proceedings of the 21th International Conference on Web Engineering, |
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ICWE 2021, held in Biarritz, France, in May 2021.* The first international workshop on Big data-driven Edge Cloud Services (BECS 2021) was held to provide a venue in which scholars and practitioners can share their experiences and present on-going work on providing value-added Web services for users by utilizing big data in edge cloud environments. The 5 revised full papers and 1 revised short contribution selected from 11 submissions are presented with 2 invited papers. *The conference was held virtually due to the COVID-19 pandemic. |
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