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Ego things: Networks Of Self-Aware Intelligent Objects.. University of Genoa, Italy, (2021)base-search.net (ftunivgenova:oai:iris.unige.it:11567/1048455).Dynamic Bayesian Approach for decision-making in Ego-Things., , , , , , and . CoRR, (2020)Prediction of Multi-target Dynamics Using Discrete Descriptors: an Interactive Approach., , , , and . ICASSP, page 3342-3346. IEEE, (2019)Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection., , , , , and . ROBOT (1), volume 1092 of Advances in Intelligent Systems and Computing, page 216-228. Springer, (2019)Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection., , , , , and . CoRR, (2020)Dynamic Bayesian Approach for decision-making in Ego-Things., , , , , , and . WF-IoT, page 909-914. IEEE, (2019)A framework to correlate power consumption and resource usage in cloud infrastructures., , , and . NetSoft, page 1-5. IEEE, (2017)Exploring the trade-off between performance and energy consumption in cloud infrastructures., , and . FMEC, page 121-126. IEEE, (2017)Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles., , , , , , , and . CoRR, (2020)Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection., , , , , and . CoRR, (2020)