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Federated Learning Enabled Prediction of Energy Consumption in Transactive Energy Communities.

, , , , and . ISGT-Europe, page 1-5. IEEE, (2022)

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High-level robot programming based on CAD: dealing with unpredictable environments., , , , and . Ind. Robot, 39 (3): 294-303 (2012)Segmentation of electromyography signals for pattern recognition., , and . IECON, page 732-737. IEEE, (2019)A Review on Electromyography Decoding and Pattern Recognition for Human-Machine Interaction., , , and . IEEE Access, (2019)CAD-based robot programming: The role of Fuzzy-PI force control in unstructured environments., , , and . CoRR, (2013)Multisensor Inspection of Laser-Brazed Joints in the Automotive Industry., , , , and . Sensors, 21 (21): 7335 (2021)Federated Learning Enabled Prediction of Energy Consumption in Transactive Energy Communities., , , , and . ISGT-Europe, page 1-5. IEEE, (2022)Federated Learning Optimization for Energy Communities in Smart Cities., , , , and . ISC2, page 1-7. IEEE, (2023)An optimal fuzzy-PI force/motion controller to increase industrial robot autonomy., , , and . CoRR, (2013)Flexible programming and orchestration of collaborative robotic manufacturing systems., , and . INDIN, page 913-918. IEEE, (2018)Navigation and obstacle avoidance: a case study using Pepper robot., , , and . IECON, page 5263-5268. IEEE, (2019)