Data-Driven Self-Learning Controller Design Approach for Power-Aware IoT Devices based on Double Q-Learning Strategy. - Tereza Paterova; Michal Prauzek; Jaromir Konecny (SSCI, 2021)

Environment-Monitoring IoT Devices Powered by a TEG Which Converts Thermal Flux between Air and Near-Surface Soil into Electrical Energy. - Tereza Paterova; Michal Prauzek; Jaromir Konecny; Stepán Ozana; Petr Zmij; Martin Stankus; Dieter Weise; Alexander Pierer (Sensors, 2021)

Double Q-learning Adaptive Wavelet Compression Method for Data Transmission at Environmental Monitoring Stations. - Jaromir Konecny; Michal Prauzek; Tereza Paterova (SSCI, 2022)

Robustness Analysis of Data-Driven Self-Learning Controllers for IoT Environmental Monitoring Nodes based on Q-learning Approaches. - Tereza Paterova; Michal Prauzek; Jaromir Konecny (SSCI, 2022)

Q-learning Energy Management Strategy for TEG-powered Environmental Monitoring IoT Devices: A Pilot Study. - Michal Prauzek; Jaromir Konecny; Tereza Paterova (SSCI, 2022)

An Analysis of Double Q-Learning-Based Energy Management Strategies for TEG-Powered IoT Devices. - Michal Prauzek; Jaromir Konecny; Tereza Paterova (IEEE Internet Things J., 2023)