Hybrid Data Processing by Combining Machine Learning, Expert, Safety and Security

The goal of this Special Issue is to promote hybrid data processing by combining machine learning with experts’ input, data safety, and security. AI technology and machine learning technology are developing rapidly. Data contain important information that can advance human knowledge and enhance AI c...

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Médium:	Online
Jazyk:	angličtina
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2025
Témata:	machine learning data intelligence data safety data security expert system user information privacy decentralized reputation system blockchain linkable ring signatures collaborative filtering social recommendation contrastive learning graph neural networks terrorist attack prediction feature selection sample imbalance few-shot learning knowledge graph transfer learning dynamic Gaussian Bayesian network Manning formula flood prediction surface confluence federated learning trusted execution environment optimal mechanism multi-attribute auction multi-scale loss scenario reconfiguration probabilistic model topology reconfiguration model thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science
On-line přístup:	ONIX_20250812T110751_9783725835454_65
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Hybrid Data Processing by Combining Machine Learning, Expert, Safety and Security

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