Abbreviate 发表于 2025-3-23 11:37:06
http://reply.papertrans.cn/47/4697/469649/469649_11.png预定 发表于 2025-3-23 16:30:54
http://reply.papertrans.cn/47/4697/469649/469649_12.pngarrhythmic 发表于 2025-3-23 21:04:23
http://reply.papertrans.cn/47/4697/469649/469649_13.png上流社会 发表于 2025-3-23 22:14:07
http://reply.papertrans.cn/47/4697/469649/469649_14.pngChauvinistic 发表于 2025-3-24 04:51:15
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.艰苦地移动 发表于 2025-3-24 08:55:21
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.Oafishness 发表于 2025-3-24 12:38:32
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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 Symconspicuous 发表于 2025-3-24 21:34:21
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.心胸狭窄 发表于 2025-3-25 02:50:45
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.