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Machine Learning-Driven Event Characterization under Scarce Vehicular Sensing Data.

, , , and . CAMAD, page 1-6. IEEE, (2020)

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Optical inter-data-center network design under resilience requirements and dynamic electricity pricing., and . ICTON, page 1-4. IEEE, (2014)Collaborative Self Organizing Map with DeepNNs for Fake Task Prevention in Mobile Crowdsensing., , and . ICC, page 4794-4799. IEEE, (2022)On the Impact of Malicious and Cooperative Clients on Validation Score-Based Model Aggregation for Federated Learning., , and . ICC, page 1634-1639. IEEE, (2023)Resiliency versus energy sustainability in optical inter-datacenter networks., , and . Opt. Switch. Netw., (2017)Machine Learning-Driven Event Characterization under Scarce Vehicular Sensing Data., , , and . CAMAD, page 1-6. IEEE, (2020)Empowering Reinforcement Learning on Big Sensed Data for Intrusion Detection., , and . ICC, page 1-7. IEEE, (2019)Deep Belief Network-based Fake Task Mitigation for Mobile Crowdsensing under Data Scarcity., , , and . ICC, page 1-7. IEEE, (2020)Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset., , and . WiseML@WiSec, page 25-30. ACM, (2020)Path Loss Rate Driven Burst Assembly in OBS Networks., and . ISCIS, volume 4263 of Lecture Notes in Computer Science, page 483-492. Springer, (2006)Quality-of-service-aware fiber wireless sensor network gateway design for the smart grid., , , and . ICC Workshops, page 863-867. IEEE, (2013)