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People Counting by Dense WiFi MIMO Networks: Channel Features and Machine Learning Algorithms., , , и . Sensors, 19 (16): 3450 (2019)Location based routing protocol exploiting heterogeneous primary users in cognitive radio networks., , , и . ICC, стр. 2890-2894. IEEE, (2013)On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning., , , и . PIMRC, стр. 1431-1437. IEEE, (2022)Towards a factory-of-things: Channel modeling and deployment assessment in PetroEcuador Esmeraldas oil refinery., , , , , , , и . LATINCOM, стр. 1-6. IEEE, (2016)A dynamic Bayesian network approach for device-free radio vision: Modeling, learning and inference for body motion recognition., , и . ICASSP, стр. 6265-6269. IEEE, (2016)Distributed signal processing for dense 5G IoT platforms: Networking, synchronization, interference detection and radio sensing., , , , , , и . Ad Hoc Networks, (2019)Device-free Crowd Sensing in Dense WiFi MIMO Networks: Channel Features and Machine Learning Tools., , и . WPNC, стр. 1-6. IEEE, (2018)A framework for energy and carbon footprint analysis of distributed and federated edge learning., , , и . PIMRC, стр. 1564-1569. IEEE, (2021)Comparision Fuzzy Scheme in Sensor Network Localization among Heuristic-Based Techniques.. BroadBandCom, стр. 223-228. Wrocław University of Technology, (2009)User Location Uncertainty in RIS-Aided Channel Optimization., , , , и . WPMC, стр. 20-26. IEEE, (2023)