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Titlebook: Intelligent Distributed Computing XV; Lars Braubach,Kai Jander,Costin B?dic? Conference proceedings 2023 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-23 11:37:06 | 只看該作者
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發(fā)表于 2025-3-23 16:30:54 | 只看該作者
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發(fā)表于 2025-3-23 22:14:07 | 只看該作者
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發(fā)表于 2025-3-24 04:51:15 | 只看該作者
Proof-of-Concept (PoC) Biometric-Based Decentralized Digital Identifiersa of the user’s own face, which is cryptographically encrypted (PKI-less infrastructure), stored, and decrypted when necessary at both on-chain and off-chain level. Data recording, storage, and access at the on-chain level are provided by smart-contract functions.
16#
發(fā)表于 2025-3-24 08:55:21 | 只看該作者
Towards an?Online Multilingual Tool for Automated Conceptual Database Design a UML class diagram. It implements the entire process through the orchestration of web services, whereby some core functionalities are carried out by external services. The tool usage is illustrated with examples of automatic generation of a conceptual database model from the text represented in different natural languages.
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發(fā)表于 2025-3-24 12:38:32 | 只看該作者
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Conference proceedings 2023 computing and intelligent systems. It includes contributions in machine learning, distributed systems & agents, text- and research-centric applications, social systems, and smart cities.. .It was written by leading experts in the field, who presented their work as part of the 15th International Sym
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發(fā)表于 2025-3-24 21:34:21 | 只看該作者
Dynamic Management of?Distributed Machine Learning Projectslity, and is able to change parts of the model through an optimization module, thus allowing a model to evolve over time as the data changes. This paper describes its generic architecture, details the implementation of the first modules, and provides a first validation.
20#
發(fā)表于 2025-3-25 02:50:45 | 只看該作者
Real-Time Traffic Prediction Using Distributed Deep Learning Based Multivariate Time-Series Modelstivariate approach using feature extraction techniques to increase the performance of the model. Second, we perform a comparative experimental study to evaluate different models, identifying the most effective component. Models are built on distributed and parallel computing platforms.
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