Titlebook: Advanced Information Networking and Applications; Proceedings of the 3 Leonard Barolli Conference proceedings 2024 The Editor(s) (if applic

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Advanced Information Networking and Applications978-3-031-57916-5Series ISSN 2367-4512 Series E-ISSN 2367-4520

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Kreise und weitere geometrische Figurenby companies that pollute. Due to the lack of transparency in carbon accounting, the fragmented data collection and crediting systems, and the complexity in claiming carbon credits, there have been many criticisms around the integrity of carbon credit schemes. The double-counting of carbon credits,

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Parkettierungen und Zerlegungenhis combination is necessary to improve Quality-of-Service (QoS) indicators, related to latency, processing time, and energy consumption. Essentially, services are simultaneously hosted by edge and cloud servers, distributing the workload based on user’s expectations. Although revolutionary, the ECC

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Michael Junk,Jan-Hendrik Treudeaset generated by running a small amount of malware samples. It may cause issues with not having enough data to train and evaluate the model. Thus, the result may not be applicable in the real world. Other issues with the previous research are that they focus on machine-level data (e.g., CPU, memory

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Beweisen verstehen im Mathematikunterricht has, thus, found widespread usage in (enterprise) network environments. One of its advantages is its flexibility: it supports multiple authentication methods.. (SSI) is a new approach towards user-centric identity management that promises users full control over their data..We are the first to prop

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Beweisen verstehen im Mathematikunterrichtsor from the non-secure mode to the secure mode. To avoid this cost, we propose to design an SGX application as a distributed system with worker threads that communicate by exchanging messages. We implemented FastSGX, a runtime that exposes this programming model to the developer, and evaluated it w

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https://doi.org/10.1007/978-3-658-10188-6nted. Large vision-language models (LVLMs) are effective at various tasks, including image classification and text generation. However, the extent of their proficiency in multimodal OOC detection tasks is unclear. In this paper, we investigate the ability of LVLMs to detect multimodal OOC and show t