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Inertial sensor-based human activity recognition via ensemble extreme learning machines optimized by quantum-behaved particle swarm.

, , , , and . J. Intell. Fuzzy Syst., 38 (2): 1443-1453 (2020)

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Inertial sensor-based human activity recognition via ensemble extreme learning machines optimized by quantum-behaved particle swarm., , , , and . J. Intell. Fuzzy Syst., 38 (2): 1443-1453 (2020)NaviMine: A tool for mining trajectories through behavior prediction., , , , and . PerCom Workshops, page 502-507. IEEE, (2021)A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection., , , , and . ICAC, page 1-6. IEEE, (2018)Group Decision Making-Based Fusion for Human Activity Recognition in Body Sensor Networks., , , , and . Sensors, 22 (21): 8225 (2022)Smartphone-assisted Automatic Indoor Localization of BLE-enabled Appliances Using BLE and GNSS Signals., , , , , and . BuildSys@SenSys, page 80-89. ACM, (2020)Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition., , , , and . Sensors, 19 (16): 3468 (2019)Self-Tuning PID Controller Based on Quantum Swarm Evolution Algorithm., , and . ICNC (6), page 401-404. IEEE Computer Society, (2008)A Novel Sensor-Based Human Activity Recognition Method Based on Hybrid Feature Selection and Combinational Optimization., , , and . IEEE Access, (2021)A Novel Selective Ensemble Learning Method for Smartphone Sensor-Based Human Activity Recognition Based on Hybrid Diversity Enhancement and Improved Binary Glowworm Swarm Optimization., , , and . IEEE Access, (2022)