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Biblio

Found 481 results
Author Title Type [ Year(Asc)]
2023
L. Cerdà-Alabern, Iuhasz, G., and Gemmi, G., Anomaly detection for fault detection in wireless community networks using machine learning, Computer Communications, vol. 202, pp. 191-203, 2023.
L. Cerdà-Alabern and Iuhasz, G., Dataset for anomaly detection in a production wireless mesh community network, Data in Brief, vol. 49, p. 109342, 2023.
L. Cerdà-Alabern, Dataset for Anomaly Detection in a Production Wireless Mesh Community Network. 2023.
N. Llisterri Giménez, Solé, J. Miquel, and Freitag, F., Embedded federated learning over a LoRa mesh network, Pervasive and Mobile Computing, vol. 93, p. 101819, 2023.
E. Cruz Harillo and Freitag, F., Exploring Blockchain-Based Management For LoRa IoT Nodes, in Economics of Grids, Clouds, Systems, and Services: 19th International Conference, GECON 2022, Izola, Slovenia, September 13–15, 2022, Proceedings, Berlin, Heidelberg, 2023.
S. Aatab and Freitag, F., Integrating a Neural Network Library in Embedded Federated Learning, in 2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech), 2023.
P. Vilchez, Jacques, S., Freitag, F., and Meseguer, R., LoRaTRUST: Blockchain-Enabled Trust and Accountability Service for IoT Data, Electronics, vol. 12, p. 1996, 2023.
F. Freitag, Solé, J. Miquel, and Meseguer, R., Position Paper: LoRa Mesh Networks for Enabling Distributed Intelligence on Tiny IoT Nodes, in Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023), Mauritius, 27-30 June 2023, 2023.
M. Roura, Navarro, L., and Meseguer, R., Property Rights in Servitisation: A Practical Assessment with Reused Computers, in Advances and New Trends in Environmental Informatics, Hamburg, 2023.
L. Cerdà-Alabern, Gemmi, G., and Maccari, L., Reliability Analysis in a Wireless ISP. 2023.
F. Freitag, Wei, L., Liu, C. - H., Selimi, M., and Veiga, L., Server-side Adaptive Federated Learning over Wireless Mesh Network, in Information Technology and Systems (ICITS 2023), Cusco, Peru, 2023.
J. Francisco, Coimbra, M. E., Neto, P. Fernandes, Freitag, F., and Veiga, L., Stateful Adaptive Streams with Approximate Computing and Elastic Scaling, in Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, New York, NY, USA, 2023.
G. Gemmi, Cerdà-Alabern, L., Navarro, L., and Maccari, L., Toward Smart Community Networks, IEEE Network, vol. 37, no. 2, pp. 128 - 134, 2023.
S. Aatab and Freitag, F., Towards a Library of Deep Neural Networks for Experimenting with on-Device Training on Microcontrollers, in 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), 2023.

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