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Fuzzy power management for energy harvesting Wireless Sensor Nodes., , and . ICC, page 1-6. IEEE, (2016)Towards Hardware Implementation of Neural Network-based Communication Algorithms., and . SPAWC, page 1-5. IEEE, (2019)Trainable Communication Systems: Concepts and Prototype, , , , , and . (2019)Poster Abstract: Wake-Up Receivers for Energy Efficient and Low Latency Communication., , , , and . IPSN, page 53:1-53:2. IEEE, (2016)Extended Abstract: Deep Learning of the Physical Layer for BICM Systems, , , , , and . 2020 IEEE Workshop on Signal Processing Systems (SiPS), page 1-1. (October 2020)GRAPMAN: Gradual power manager for consistent throughput of energy harvesting wireless sensor nodes., , and . PIMRC, page 954-959. IEEE, (2015)Model-free Training of End-to-end Communication Systems., and . CoRR, (2018)A Low Latency and Energy Efficient Communication Architecture for Heterogeneous Long-Short Range Communication., , , , and . DSD, page 200-206. IEEE Computer Society, (2016)Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks., , , , and . Sensors, 18 (5): 1578 (2018)Feature Selection Framework for Multi-Source Energy Harvesting Wireless Sensor Networks., , , and . VTC Spring, page 1-5. IEEE, (2018)