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pro vyhledávání: '"Florean, Alexander"'
Autor:
Florean, Alexander
In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while pre
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-98405
Autor:
Florean, Alexander, Jalal, Laoa
The explosive growth of software systems with both size and complexity results in the recognised need of techniques to combat architectural degradation. Reflexion Modelling is a method commonly used for Software Architectural Consistency Checking (SA
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84250