Automatic classification of transportation modes using smartphone sensors: addressing imbalanced data and enhancing training with focal loss and artificial bee colony algorithm
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s12596-024-01703-6.pdf
Reference61 articles.
1. M. Gjoreski, V. Janko, G. Slapničar, M. Mlakar, N. Reščič, J. Bizjak, V. Drobnič, M. Marinko, N. Mlakar, M. Luštrek, Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. Inf. Fusion 62, 47–62 (2020)
2. S.H. Fang, H.H. Liao, Y.X. Fei, K.H. Chen, J.W. Huang, Y.D. Lu, Y. Tsao, Transportation modes classification using sensors on smartphones. Sensors 16(8), 1324 (2016)
3. M. Etemad, Transportation modes classification using feature engineering (2018), arXiv preprint arXiv:1807.10876
4. S.V. Moravvej, S.J. Mousavirad, M.H. Moghadam, M. Saadatmand, An lstm-based plagiarism detection via attention mechanism and a population-based approach for pre-training parameters with imbalanced classes, in Neural Information Processing: 28th International Conference, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part III, vol. 28, (ICONIP, 2021) pp. 690–701
5. S.V. Moravvej, S.J. Mousavirad, D. Oliva, G. Schaefer, Z. Sobhaninia, An improved de algorithm to optimise the learning process of a bert-based plagiarism detection model, in 2022 IEEE Congress on Evolutionary Computation (CEC, 2022), pp. 1–7
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