Research output per year
Research output per year
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Dive into the research topics where Alessandro Chiumento is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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AI-Enabled Reliable QoS in Multi-RAT Wireless IoT Networks: Prospects, Challenges, and Future Directions
Zia, K., Chiumento, A. & Havinga, P. J. M., 2022, In: IEEE Open Journal of the Communications Society. 3, 2022, p. 1906 - 1929 24 p., 9924256.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Downloads (Pure) -
Aerial Vehicles Tracking Using Noncoherent Crowdsourced Wireless Networks
Sallouha, H., Chiumento, A. & Pollin, S., 1 Oct 2021, In: IEEE transactions on vehicular technology. 70, 10, p. 10780-10791 12 p., 9512485.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
A Sensitivity Analysis on the Potential of 5G Channel Quality Prediction
Anbalagan, S. N., Litjens, R., Das, K., Chiumento, A., Havinga, P. J. M. & van den Berg, H. L., 15 Jun 2021, 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). Piscataway, NJ: IEEE, 9448944. (IEEE Vehicular Technology Conference, VTC; vol. 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)41 Downloads (Pure) -
CHIIoT: 1st Workshop on Computer Human Interaction in IoT Applications
Liang, R. H., Chiumento, A., Zuniga, M., Pawełczak, P., Funk, M. & Chuang, Y., 28 Apr 2021, EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, Delft The Netherlands - 17 February 2021. Huang, P., Zuniga, M., Xing, G. & Petrioli, C. (eds.). ACM Publishing, p. 198-201 4 p. (International Conference on Embedded Wireless Systems and Networks, EWSN; vol. 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile7 Downloads (Pure) -
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space
Hribar, J., Marinescu, A., Chiumento, A. & DaSilva, L. A., 21 Sep 2021, (E-pub ahead of print/First online) In: IEEE Internet of Things Journal. 1 p., 9542952.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile12 Downloads (Pure)