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Cybersecurity in Large-Scale Smart Cities: Novel Proposals for Anomaly Detection from Edge to Cloud.

, , , and . IINTEC, page 130-135. IEEE, (2019)

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