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Titlebook: Advances in Service-Oriented and Cloud Computing; International Worksh Christian Zirpins,Guadalupe Ortiz,Damian Tamburri Conference proceed

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樓主: Kennedy
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發(fā)表于 2025-3-23 10:59:15 | 只看該作者
12#
發(fā)表于 2025-3-23 15:59:00 | 只看該作者
https://doi.org/10.1007/978-3-031-23298-5artificial intelligence; cloud computing; communication systems; computer networks; distributed computer
13#
發(fā)表于 2025-3-23 19:18:22 | 只看該作者
978-3-031-23297-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
14#
發(fā)表于 2025-3-24 02:03:52 | 只看該作者
Advances in Service-Oriented and Cloud Computing978-3-031-23298-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
15#
發(fā)表于 2025-3-24 04:46:03 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/a/image/149675.jpg
16#
發(fā)表于 2025-3-24 07:08:12 | 只看該作者
Towards a?Secure Peer-to-Peer Federated Learning Frameworkdels are carried out by means of Secure Multi-Party Computation to protect the data of training participants. We describe our experiments to demonstrate the basic feasibility of the working prototype and highlight open technical and methodological issues that we aim to address in the future.
17#
發(fā)表于 2025-3-24 12:53:13 | 只看該作者
Cloud Computing Continuum Research Topics and Challenges. A Multi-source Analysishe international context, analysis of academic venues, interviews with relevant stakeholders and existing funded projects..The paper also provides an overview of the main research topics identified and proposes next steps for the utilization of these finding in the development of a Cloud Computing r
18#
發(fā)表于 2025-3-24 15:01:12 | 只看該作者
Developing a New DevOps Modelling Language to Support the Creation of Infrastructure as Codeents, enabling the usage of different concretizations to match one particular deployment. This paper provides an overview of the DOML language: its layers and extension mechanisms, as well as an example to showcase its modeling capabilities.
19#
發(fā)表于 2025-3-24 22:18:24 | 只看該作者
Urban Heat Island Detection Utilizing Citizen Sciencet been covered. However, the collected measurements in these areas remains sparse. Therefore, we continuously interpolate the current temperature by utilizing machine learning algorithms. With the existing measurements from mobile sensor stations we train a regression model to learn their dependenci
20#
發(fā)表于 2025-3-24 23:26:55 | 只看該作者
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