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De Vita, F.., D.. Bruneo, and S.. K. Das,  "A Novel Data Collection Framework for Telemetry and Anomaly Detection in Industrial IoT Systems",  \i 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)\i0 , pp. 245-251, 2020.\par \par Santhosh, G.., F.. De Vita, D.. Bruneo, F.. Longo, and A.. Puliafito,  "Towards trustless prediction-as-a-service",  \i 2019 IEEE International Conference on Smart Computing (SMARTCOMP)\i0 , pp. 317-322, June, 2019.\par \par Bruneo, D.., and F.. De Vita,  "On the Use of LSTM Networks for Predictive Maintenance in Smart Industries",  \i 2019 IEEE International Conference on Smart Computing (SMARTCOMP)\i0 , pp. 241-248, June, 2019.\par \par De Vita, F.., G.. Nardini, A.. Virdis, D.. Bruneo, A.. Puliafito, and G.. Stea,  "Using Deep Reinforcement Learning for Application Relocation in Multi-Access Edge Computing",  \i IEEE Communications Standards Magazine\i0 , vol. 3, no. 3, pp. 71-78, Sep., 2019.\par \par De Vita, F.., and D.. Bruneo,  "A Deep Learning Approach for Indoor User Localization in Smart Environments",  \i 2018 IEEE International Conference on Smart Computing (SMARTCOMP)\i0 , pp. 89-96, June, 2018.\par \par }