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Blockchain and Federated-Learning empowered secure and trustworthy vehicular traffic.

, , , и . UCC, стр. 346-351. IEEE, (2022)

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Process Mining in Trusted Execution Environments: Towards Hardware Guarantees for Trust-Aware Inter-organizational Process Analysis., , , и . ICPM Workshops, том 433 из Lecture Notes in Business Information Processing, стр. 369-381. Springer, (2021)Cybersecurity in Large-Scale Smart Cities: Novel Proposals for Anomaly Detection from Edge to Cloud., , , и . IINTEC, стр. 130-135. IEEE, (2019)An Architectural Schema for Performance Prediction using Machine Learning in the Fog-to-Cloud Paradigm., , , и . UEMCON, стр. 994-1002. IEEE, (2019)A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer's Disease., и . CICBA (1), том 1955 из Communications in Computer and Information Science, стр. 1-13. Springer, (2023)Efficient parameter estimation in biochemical pathways: Overcoming data limitations with constrained regularization and fuzzy inference., , , и . Expert Syst. Appl., (2025)Blockchain and Federated-Learning empowered secure and trustworthy vehicular traffic., , , и . UCC, стр. 346-351. IEEE, (2022)Collaborative learning-based Schema for Predicting Resource Usage and Performance in F2C Paradigm., , и . IEEE ANTS, стр. 1-6. IEEE, (2020)OLAP based Scaffolding to support Personalized Synchronous e-Learning, , , и . (2012)An Architecture for Resource Management in a Fog-to-Cloud Framework., , и . Euro-Par Workshops, том 11339 из Lecture Notes in Computer Science, стр. 275-286. Springer, (2018)SFDDM: A Secure Distributed Database Management in Combined Fog-to-Cloud Systems., , , и . CAMAD, стр. 1-7. IEEE, (2019)