首页|Findings from University of Florence in Machine Learning Reported (Dynamic Prope rty Preservation in AIoT: A Machine Learning Approach for Data-Efficient Model T ransformation)
Findings from University of Florence in Machine Learning Reported (Dynamic Prope rty Preservation in AIoT: A Machine Learning Approach for Data-Efficient Model T ransformation)
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Research findings on artificial intell igence are discussed in a new report. According to news originating from Florenc e, Italy, by NewsRx editors, the research stated, "Model-driven development (MDD ) in the Artificial Intelligence of Things (AIoT) domain faces significant chall enges in ensuring the consistency and preservation of model properties during tr ansformations, often leading to system inconsistencies." Financial supporters for this research include Tecnologico De Monterrey, Mexico; King Saud University, Riyadh, Saudi Arabia.
University of FlorenceFlorenceItalyEuropeCyborgsEmerging TechnologiesMachine Learning
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