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Titlebook: Innovations for Community Services; 23rd International C Udo R. Krieger,Gerald Eichler,Günter Fahrnberger Conference proceedings 2023 The E

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楼主: 根深蒂固
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Conference proceedings 2023 Germany, in September 2023..The 15 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 38 submissions. One invited talk in full-paper length is included in the volume. The papers focus on topics such as distributed architectures and frameworks for commu
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Enabling the JSON Web Signature Format to Support Complex and Identity-Oriented Non-web Processespoints in time. The German T-prescription was selected as the application scenario, since it involves special requirements for signatures, data protection and data transfer. For this scenario, all the necessary applications and libraries are implemented and the process is run through and analyzed.
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Efficient Quantum Solution for the Constrained Tactical Capacity Problem for Distributed Electricityem in two ways. Firstly, we extend the problem to include capacity constraints, resulting in the Constrained Tactical Capacity Problem. Secondly, we propose two ways of optimising the performance of the resulting model via variable reduction. These optimisations are supported by numerical results obtained on both classical and quantum solvers.
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,Detecting Hidden Innovative Networks in Hacker Communities (Invited Talk),n particular have been proven to be the fastest and most successful innovation network. This paper presents a method to extend the concept of innovation networks, by elements of innovation from the digital ecosystem and more specifically the crypto ecosystem and to use artificial intelligence to dis
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Bloom Filter-Based Realtime Risk Monitoring of SSH Brute Force Attackspitalize on the hosts’ open ports. Specially Command-Line Interfaces (CLIs), such as Secure Shell (SSH), with odds of conquering unlimited permissions on such hosts allure culprits into conducting brute force attacks. Responsible personnel should not unclose SSH ports to the Internet unless inevitab
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Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Invenresters suffer from increasing workloads and, in the best case, a consistent but often declining workforce. To optimise workflows and increase productivity, we propose a novel open-source end-to-end approach that generates helpful information and improves task planning of those who care for trees in
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