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Position-aware Human Activity Recognition with Smartphone Sensors based on Deep Learning Approaches.

, and . TSP, page 43-46. IEEE, (2023)

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ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors., , , , and . IEEE Access, (2022)Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning., , and . SITIS, page 408-412. IEEE Computer Society, (2017)Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor., and . JCSSE, page 270-274. IEEE, (2023)Enhancing Sensor-Based Human Activity Recognition using Efficient Channel Attention., and . SENSORS, page 1-4. IEEE, (2023)A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors., , , and . JCSSE, page 1-5. IEEE, (2022)Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks., and . Inf., 15 (1): 47 (2024)Location-based Daily Human Activity Recognition using Hybrid Deep Learning Network., , and . JCSSE, page 1-5. IEEE, (2021)Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors., , , and . MIWAI, volume 13651 of Lecture Notes in Computer Science, page 146-155. Springer, (2022)Deep Learning Networks for Complex Activity Recognition Based on Wrist-Worn Sensor., and . TENCON, page 243-248. IEEE, (2023)Deep Learning Approaches for Epileptic Seizures Recognition based on EEG Signal., and . TSP, page 33-36. IEEE, (2023)